Cryptocurrency Market News: Ethereum slides below $380 as the market starts to lose its positive sentiment – FXStreet

BTC/USD is currently trading at $11,407 losing around 4% in the last 24 hours from a peak of $11,935. Bulls are fighting to stay above the daily 12-EMA at $11,415, a crucial short-term support level.

ETH/USD dropped below $380 for the first time since August 7 but the bulls are still defending the daily 12-EMA. The daily uptrend is intact while the RSI is cooling off.

XRP/USD tried to crack $0.30 again before getting rejected and dropping to $0.284.

Swipe is up 16% again as Binance acquisition continues helping the digital asset to reach new highs. Verge and Ocean Protocol are both up, OCEAN is by far one of the best-performing coins during 2020 and its now aiming to become a top 50 coin by market capitalization.

MicroStrategy Inc, a business intelligence software listed on NASDAQ, just bought $250 million worth of Bitcoins, around 21,454. According to the official report, the move came after Michael Saylor, the CEO, stated that he wanted to explore Bitcoin, gold or other alternative assets.

Those macro factors include, among other things, the economic and public health crisis precipitated by Covid-19, unprecedented government financial stimulus measures including quantitative easing adopted around the world, and global political and economic uncertainty,

The firm also stated that Bitcoin seems to have global acceptance and network dominance as well as technical utility.

According to a recent report by BitPay, the platform is expanding its services with Coinbase and enable instant blockchain payments without any fees.

Customers who have a Coinbase account are looking for a fast, secure and easy way to pay for goods and services with crypto globally now have additional options through BitPay enabled merchants, said Sean Rolland, Director of Product at BitPay. Integration between Coinbase and BitPay lets users pay directly from their Coinbase account, opening up new global businesses opportunities to accept and pay with crypto.

Well, I think it is working. There may be other currencies like it that may be even better. But in the meantime, theres a big industry around BitcoinPeople have made fortunes off Bitcoin, some have lost money. It is volatile, but people make money off of volatility too.

Richard Branson

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Cryptocurrency Market News: Ethereum slides below $380 as the market starts to lose its positive sentiment - FXStreet

The Return of Anonymous – The Atlantic

At the end of May, as protests against the police killing of George Floyd got under way, reports started to circulate that the shadowy hacker group Anonymous was back.

The rumors began with a video depicting a black-clad figure in the groups signature Guy Fawkes mask. Greetings, citizens of the United States, the figure said in a creepy, distorted voice. This is a message from Anonymous to the Minneapolis Police Department. The masked announcer addressed Floyds killing and the larger pattern of police misconduct, concluding, We will be exposing your many crimes to the world. We are legion. Expect us.

Justin Ellis: Minneapolis had this coming

The clip generated a wave of renewed enthusiasm for Anonymous, particularly among young people. Twitter accounts associated with the group saw a surge of new followers, a couple of them by the millions.

At the height of its popularity, in 2012, Anonymous had been a network of thousands of activists, a minority of them hackers, devoted to leftist-libertarian ideals of personal freedom and opposed to the consolidation of corporate and government power. But after a spate of arrests, it had largely faded from view.

Now a new generation was eager to join. How does one apply to be a part of Anonymous? I just wanna help out, Ill even make the hackers coffee or suttin an activist in the United Kingdom joked on Twitter, garnering hundreds of thousands of likes and retweets.

Anonymous stan (super fan) accounts remixed the video on TikTok to give the shadowy figure glamorous nails and jewelry. Others used the chat service Discord to create virtual spaces where thousands of new devotees could celebrate the hackers with memes and fan fiction. One of the largest Anonymous accounts on Twitter begged people to stop sending us nudes.

A series of hacks followed the release of the video. News outlets speculated that it was Anonymous who had hijacked Chicago police scanners on May 30 and 31 to play N.W.As Fuck tha Police and Tay Zondays Chocolate Rain, a 2007 song that served as an unofficial anthem for the group. Likewise, when the Minneapolis Police Department website went offline from an apparent DDoS attacka hack that overwhelms a target site with trafficsocial media credited Anonymous.

Three weeks later, on Juneteenth, a person identifying as Anonymous leaked hundreds of gigabytes of internal police files from more than 200 agencies across the U.S. The hack, labeled #BlueLeaks, contained little information about police misconduct. However, it did reveal that local and federal law-enforcement groups spread poorly researched and exaggerated misinformation to Minnesota police officers during the unrest in May and June, and made efforts to monitor protesters social-media activity.

I had recently published a book that detailed the tangled origins of Anonymous, and until last month, Id thought the group had faded away. I was surprised by its reemergence, and wanted to understand how and why it seemed to be coming back, starting with who had made the new video. It didnt take me long to find out.

The video was watermarked, which is uncharacteristic for Anonymous. The mark is blurred out in copies, but appears in the original post in white font: anonews.co. That URL led me to a news-aggregation site, which brought me to the sites Facebook page, where the first iteration of the video had been posted on May 28. A British company called Midialab Ltd. controlled the page. I wrote to the email listed on the page, and the companys owner replied the same day. This person requested anonymity but was willing to put me in touch with the creator of the video.

I suspected I was chasing the tail of some Russian troll farm whose business it was to promote radical division of all stripes. The first place to report on the video, on May 29, had been RT, the state-owned Russian media outlet. And the millions of new followers flocking to Anonymous Twitter accounts? As the accounts themselves pointed out, many were bots.

Within an hour of receiving the email, I got a call from a suburb in Harford County, Maryland, just north of where I live. The man on the line told me his name was John Vibes. Hey, man, he said. Surprised Im local? I made the video.

Vibes told me he had worked as a party promoter organizing raves in Baltimore and Philadelphia for the past decade, which had led him into countercultural thought and, eventually, activism. I had been writing things about police brutality and I was contacted by the guy that runs anonews.co, a tech entrepreneur in the U.K. who agreed with Anonymouss politics and wanted to support it. Vibes is a freelance writer who writes and produces videos for the Facebook page, which functions as a news hub. Mostly we just cover news about what Anonymous would be interested inthe banking system, corruption, he said. A couple of times a month well look at the big stories and well aggregate the general sentiment into a video.

Indeed, the Facebook page releases Anonymous videos regularly, many of them made by Vibes. But he was not the masked figure speaking to the camera in the most recent viral video. The page often recycles the same footage and simply uses new audio.

Vibes emphasized that he wasnt a hacker, but a journalist who was echoing the sentiment of Anonymous members on social media and chat rooms. The purpose of the Facebook page was to create an outlet for that message. To be clear, were not a Russian troll farm, Vibes said.

Read: Russias troll operation was not that sophisticated

Still, my conversation with Vibes left me feeling uncertain about whether Anonymous was really back. The new hacks in May and early June were tied to the group largely through rumors. And the video wasnt put out by Anonymous hackers, but by an activist who supported their message. In some sense, Vibes was simply another fan, remixing a remix. Was it all just smoke and mirrors?

But when I spoke with a variety of current and former Anonymous hackers over the past month, they all insisted that Anonymous was indeed reactivating. To understand why, and what that really means, its helpful to keep in mind the two somewhat-competing interpretations of Anonymous.

In one sense, Anonymous is a decentralized community of tech activists who collaborate in small groups on projects they call operations.

But then there is the second definition of Anonymous. Anonymous members will tell you that Anonymous has no members, that it is not a group, but rather a banner. People rally to it. And like a pirate flag, anyone can run it up their mast and start doing deeds in Anonymouss name.

Its the vigilante, Gregg Housh, one of the creators of a 2008 Anonymous anti-Scientology video, told me. Anonymous was designed specifically to be that way. In its initial founding, it existed as trolls people doing whatever they wanted, with that hint of vigilantism. It was designed to be totally open. Anyone can be Anonymous.

In the new video Vibes made, Anonymous represents extrajudicial justice, the superhero entering to right what the normal course of the law cannotan idea that can seem deeply appealing now that the ordinary enforcers of justicethe policeappear to some to be the source of the crime.

My sources affiliated with Anonymous all told me the same thing: People were flowing back into the chat rooms to coordinate new operations. This is how Anonymous has always worked. A viral video generates a wave of enthusiasm. Then the leaderless collective debates what to do. Sometimes it settles on performative acts of protest, such as hacking police scanners or briefly downing a website. But as occurred with BlueLeaks, oftentimes more skilled hackers steal and leak documents intended to buttress a political cause with substantive evidence.

However, both the group of people and the movement have changed over the years. And to track Anonymouss trajectory, its necessary to understand how the entire project began: as a joke by teenagers.

In the mid 2000s, Aubrey Cottle was part of a crew of online pranksters who called themselves trolls and orbited two anarchic online message boards: Something Awful and 4chan. Thousands of users were on these boardsalmost all young menbut among them was a more die-hard band who hung out in the same chat rooms, feuded online, and met up in real life. They called themselves Anonymous. The name was derived from the way 4chan presented usernames. If none was specified, the site displayed Anonymous by default.

In 2007, a man appeared at Cottles door. Cottle was 20 and still living with his mother in Toronto. As Cottle tells the story (confirmed in part by a friend of his), the man was from the Canadian Security Intelligence Service, the nations equivalent to the CIA. Curious, Cottle led him to his room, which was littered with hard drives, server equipment, and old copies of the 90s hacker magazine 2600.

Would you be willing to use your abilities against al-Qaeda and terrorist groups? the agent asked him. A number of thoughts flashed through Cottles mind: Is this guy for real? I would never work for the feds. Should I delete everything? But mostly he felt like a fraud. The man thought he was something he wasnt.

You want me to raid internet forums for you? Cottle asked.

Anonymous trolls loved to conduct raids on other sites, flooding online games and chat rooms with their army of users to disrupt the space. Like cruel older brothers, they often picked the easiest target they could findyounger kids. They loved raiding a childrens game called Habbo Hotel by lining up their avatars to block access to the online pool.

When 4chan began cracking down on organizing raids, Anonymous migrated to Cottles copycat site, 420chan, which hed created to discuss his principal interests: drugs and professional wrestling. And Cottle became the de facto leader of Anonymous, a role he relished. It was during this time, Cottle told me, that he codified a set of half-joking rules for the group that became known as the infamous Rules of the Internet. They included 3. We are Anonymous 4. Anonymous is legion 5. Anonymous never forgives.

Cottle and his friends also were the first to start using the Guy Fawkes mask. They chose it simply because they loved the movie V for Vendetta, a 2005 film adaptation of a dystopian-fiction comic book. V, the films protagonist, dons the disguise to fight a future fascist police state by firebombing buildings, inverting the story of the original Guy Fawkes, who is vilified in English folklore for attempting to blow up Parliament in 1605.

Read: The misunderstood legacy of Guy Fawkes

Cottle told CSIS hed think about its offer (which he later declined) and went back to cyberbullying. But not long after the authorities came to Cottles door, Anonymous would make the news. A Fox affiliate in Los Angeles had run a segment on the group, framing them as hackers on steroids. The report implied that Anonymous was perhaps a terrorist organization, overlaying the segments narration with stock footage of a van exploding.

The segment delighted Anonymous. Hacking was something its members did for their own amusement. Now in the eyes of the mediaand the governmentthey were a shadowy and powerful cabal, capable of anything. It was something people wanted to believe about them, something they could use.

Anonymous spent much of 2007 harassing Hal Turner, a neo-Nazi radio host, not because the group was at all political during this period, but because Turner proved to be an easy target. Each week, Anonymous would clog his phone lines, down his website, or order hundreds of pizzas to his house. But the fun ended abruptly when it hacked Turner so thoroughly that it discovered he was an FBI informant.

After Turner, Anonymous needed a new target. They shifted to the Church of Scientology, a recurrent enemy of hackers and freedom-of-information activists since the early 1990s. The catalyst for the new operation was a video, the one made by Housh. It used the Fox news piece as inspiration, hinting that Anonymous was a powerful ring of international hackers. Over the years we have been watching you, it announced in a text-to-speech computer voice. We are legion.

When the video went viral, enthusiasm hit an all-time high. Anons flowed into the same chat rooms they had once used to coordinate raids, this time channeling their numbers into a series of street protests against Scientology in major cities around the world. (Anonymous accused Scientology of bilking its adherents with pseudoscience and of illegally silencing critics.) Several hundred people attended a protest I reported on in New York, almost all of them dressed in Guy Fawkes masks.

For many, the cynicism of trolling was shattered when they realized they could effect change in the real world. To the surprise of even themselves, Anonymous had inherited a conflict that had been raging since the 1980s. On one side were hackers who wanted to employ the internet as a tool for personal empowerment; on the other stood governments and corporations, who used it as a panopticon for personal-data collection.

Presently, the Anonymous movement split into competing factions of trolls and activists. Cottle led the trolling side, but his contingent soon lost control.

The watershed moment came in late 2010, when an Anonymous operation to support Julian Assange and WikiLeaks snowballed into a massive attack against PayPal and Mastercard for blocking WikiLeaks donations. Once again, following media attention, thousands of Anons flooded into chat rooms they had previously used to coordinate invasions into computer games, this time in an attempt to disable corporate websites.

Read: The radical evolution of WikiLeaks

Before long, Anonymous had uncovered plans for HBGary Federal, a security company; Palantir, the tech-surveillance giant; and the private security company Berico Technologies to embarrass WikiLeaks using Nixonian dirty tricks. The story of the HBGary leak became front-page news. And Anonymouss ranks swelled even more.

The Anons involved in the hack formed a splinter group, LulzSec (Lols Security), and went on a high-profile hacking spree, targeting major corporations like Sony and several government agencies whenever they felt that these organizations were trampling individual freedomsor simply to show that they could. But in 2012, the FBI arrested one of LulzSecs members, Hector Sabu Monsegur, a 28-year-old man living in New York City public housing. Sabu became an informant and the center of an elaborate sting operation that resulted in the arrest of many of the groups principal participants. (Monsegur has denied being responsible for those arrests, though does not deny being an FBI informant.)

Anonymous never fully recovered. Small groups of Anons remained, but the energy behind the banner dissipated.

Anonymouss most high-profile hack in the following years came in support of the 2014 protests in Ferguson, Missouri. In response to the police-shooting death of Michael Brown, the group downed the citys web servers and publicized the home address of the police chief. When officials were not forthcoming about the details of Browns death, Anonymous leaked audio recordings of emergency dispatchers discussing the incident. However, when Anonymous announced the name of the shooter, it named the wrong person, damaging its reputation.

Then Anonymous weathered another blow: the alt-right.

Fredrick Brennan was 12 years old when he discovered 4chan in 2006. When I interviewed him for my book, It Came From Something Awful, he recalled the fun and camaraderie of the days when Anons piled into chat rooms to attack PayPal and Mastercard. But he spent his late teens struggling financially, bouncing between low-paying jobs in the gig economy. Eventually, he decided that he was doomed to forever be on the bottom as an incel (involuntary celibate) dropout. The copy of 4chan he founded in 2013, 8chan, became a wildly popular breeding ground for far-right extremism. However, Brennan managed to shed what he described as the toxic ideology of the chans; his tipping point came last year, when a wave of mass shooters who self-identified as fascist incels all cited 8chan as their inspiration. Since then, hes been working to shut down 8chan, now known as 8kun.

The seeds of the alt-right had always been a part of Anonymouss culture. Though Anonymous troll armies had started out by harassing neo-Nazis in 2007, theyd also coated sites in swastikas and racist slurs for shock value. And eventually, the neo-Nazis they targeted began using 4chan in their online recruitment efforts.

So by 2016, Anonymous hacktivists had turned back to the places where they had once organizedchat rooms and forums that are adjacent to 4chanand begun to fight a rearguard action. In 2018, Anonymous declared war on QAnon, a bizarre alt-right conspiracy theory that had been started on 4chan the previous year by far-right trolls but has since spread into mainstream Republican discourse.

From the June 2020 issue: The prophecies of Q

Some Anonymous hackers now spend their time tracking and outing alt-right organizers, often in the same networks they occupied in the mid-2000s trolling era.

What does all of this mean for the future of Anonymous?

Some members have shifted their modus operandi. Several told me they now work quietly, rarely if ever repeating the mistake that had landed many of them in jail: publicizing what they do. (This has not been the case with BlueLeaks, however. A hacker involved in the leak identified as Anonymous, and other Anonymous groups were happy to adopt the hack under their banner.)

They are more wary than ever, often openly wondering who among them are police or informants. They no longer organize on the archaic Internet Relay Chat (IRC), believing it to be compromised, instead preferring more modern end-to-end encrypted chat clients, such as Wire, Gajim, or Signal. For social media, they almost exclusively use Twitter, feeling that other companies do not do enough to protect users privacy.

And age has brought temperance. Weve grown up a lotat least I havesince the beginning of all of this, an Anonymous activist who runs the Twitter account @Anon2World told me. Back in 20102012, we would have decimated anything we could to make a point; now we realize how we could inadvertently affect people in negative ways.

This time around, many members emphasized, they would like to play a supporting role to Black Lives Matter, as they had during the 2014 Ferguson protests, when despite their stumbles, their presence was appreciated by some BLM activists. And in the long term, it now appears that Anonymous might be with us perennially, blooming in revolutionary moments, when it feels as if one big push might effect change.

But there is another possibilitythat once again Anonymous will be recast.

Anonymous began with teens hanging out in chat rooms. They put on the mask of the anti-fascist superhero for fun, but over time learned to play the role first with style, then conviction.

When teens began hanging out in Discord chat rooms last month wondering how they could join Anonymous, the answer from the largest Anonymous Twitter accounts was simple: Do it yourself.

Many of the new Anonymous stans had come from TikTok and the K-pop (Korean pop) community. At the end of May, the K-pop stans clogged the Dallas Police Departments tip-line app with dance videos. Then, spurred on by Anonymous Twitter accounts, they reserved hundreds of thousands of tickets to Trumps ill-fated rally in Tulsa, Oklahoma, in which the president found himself addressing largely empty seats.

Read: The hackers who hate Donald Trump

The pattern felt familiar: a group of teens meeting online to consume media, then realizing that their numbers were so strong, they could pull some epic pranks, or become a political collective, or maybe both. As the former Anonymous member Jake Davis put it on Twitter, the TikTok/Kpop stuff feels like a more viral version of old 4chan invasions/raids Fully expecting Fox News to make some spooky video calling them hackers on steroids.

In V for Vendetta, after a pandemic leads to a fascist dictatorship in the year 2020, everyone puts on the Guy Fawkes mask to topple the regime.

Thats at least how the movie version ends.

And if there were ever any difference between our world and the other side of the screen, it feels as if it were effaced long ago.

See more here:

The Return of Anonymous - The Atlantic

Reveal Acquires NexLP to become the leading AI-powered eDiscovery Solution – PRNewswire

"The future of eDiscovery is artificial intelligence. We've acquired the leader in this space to ensure our platform is powered by cutting-edge AI technology and NexLP's premier data science team," said Reveal CEO, Wendell Jisa. "This exclusive integration of NexLP AI into Reveal's solution provides our clients the opportunity to lead in the evolution of how law is practiced."

NexLP's artificial intelligence platform turns disparate, unstructured data - including email communications, business chat messages, contracts and legal documents - into meaningful insights that can be used to deliver operational efficiencies and proactive risk mitigation for legal, corporate and compliance teams.

Reveal clients have access to the next-generation solution now. The companies have worked to fully integrate NexLP's AI software into Reveal's review software for more than a year. All features, including the industry-exclusive ability to run multiple AI models, as well as all future functionality, become part of Reveal's standard software. NexLP's artificial intelligence platform will remain available as a stand-alone application for current clients.

With the acquisition, Jay Leib, Co-Founder and CEO of NexLP, joins the leadership team of Reveal as its EVP of Innovation & Strategy.

"We chose Reveal, after considering all the major players in the space, because they offer by-far, the most comprehensive, solutions-oriented technology on the market and we have a shared vision for the future of legal technology," said Jay Leib, Reveal EVP of Innovation & Strategy. "Reveal's global footprint and ability to deploy the Reveal solution in the cloud or on-premise enables us to rapidly expand the adoption of AI to tens of thousands of legal, risk and compliance professionals overnight. Our existing clients and partners should all be thrilled with our ability to expand our capabilities by joining Reveal."

The NexLP acquisition is Reveal's second major investment since Gallant Capital Partners, a Los Angeles-based investment firm, acquired a majority stake in Reveal in 2018. In June 2019, Reveal acquired Mindseye Solutions, an industry-leading processing and early case assessment software solution.

About Reveal Data Corporation

Reveal helps legal professionals solve complex discovery problems. As a cloud-based provider of eDiscovery, risk and compliance software, Reveal offers the full range of processing, early case assessment, review and artificial intelligence capabilities. Reveal clients include Fortune 500 companies, legal service providers, government agencies and financial institutions in more than 40 countries across five continents. Featuring deployment options in the cloud or on-premise, an intuitive user design, multilingual user interfaces and the automatic detection of more than 160 languages, Reveal accelerates legal review, saving users time and money. For more information, visit http://www.revealdata.com.

About NexLP

NexLP's Story Engine uses AI and machine learning to derive actionable insight from structured and unstructured data to help legal, corporate and compliance teams proactively mitigate risk and untapped opportunities faster and with a greater understanding of context. In 2014, NexLP was selected to be a member of TechStars Chicago. For more information, visit:http://www.nexlp.com.

Contact

Jennifer Fournier[emailprotected]

SOURCE Reveal

http://www.revealdata.com

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Reveal Acquires NexLP to become the leading AI-powered eDiscovery Solution - PRNewswire

Adopting IT Advances: Artificial Intelligence and Real Challenges – CIO Applications

By coming together, we are able to select and strengthen a business process supported by advanced analytics, which local teams can embrace and deploy across their business units.

In addition to the benefits of forming a cross functional, multi-national team, its been exciting to watch the collaborative process evolve as Baby Boomers, Gen X, Gen Y and Gen Z colleagues work to solve business critical challenges. Weve found that by bringing these generations together, we can leverage the necessary experiences and skillsets to create a balanced vision that forms the strategy as the work streams begin to develop their actions. Pairing the multi-generational workforce with our focus on inclusion and diversity also fosters internal ownership. This participation yield steam unity and pride through clearly understood program goals, objectives and--ultimately--improved adoption deep across all business regions.

Build confidence

Even with a global, inter-generational team building advanced applications, theres still a question of confidence in the information delivered through AI and ML techniques. Can the information being provided actually be used to create a better, more reliable experience for our customers?

A recent article by Towards Data Science, an online organization for data scientists and ML engineers, put it best: At the end of the day, one of the most important jobs any data scientist has is to help people trust an algorithm that they most likely dont completely understand.

To build that trust, the heavy lifting done early in the process must contain algorithms and mathematical calculations that deliver correct information while being agile enough to also capture the changes experienced on a very dynamic basis in our business. This step begins further upstream in the process by first establishing a cross-functional group that owns, validates and organizes the data sets needed for accurate outputs. This team also holds the responsibility for all modifications made post-implementation as continuous improvement steps are added into the data driven process. While deploying this step may delay time to market delivery, the benefits gained by providing a dependable output decreases the need for rework and increases user reliability.

Time matters

How flexible is your business? It takes time and dedication to successfully incorporate AI and ML into an organization since it requires the ability to respond quickly.

Business complexity has evolved over the years along customers increasing expectations for excellence. Our organization continues reaching new heights by deploying AI and ML techniques that include an integration that: Creates a diverse pool of talented external candidates Leads to stronger training and development processes and programs for our employees Localizes a global application Bridges technological enhancements with business processes Drives business value from delivering reliable information

By putting the right processes in place now, forward-thinking businesses are better prepared for a quicker response when tackling IT challenges and on the path to finding very real solutions.

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Adopting IT Advances: Artificial Intelligence and Real Challenges - CIO Applications

The Guardian view on artificial intelligence’s revolution: learning but not as we know it – The Guardian

Bosses dont often play down their products. Sam Altman, the CEO of artificial intelligence company OpenAI, did just that when people went gaga over his companys latest software: the Generative Pretrained Transformer 3 (GPT-3). For some, GPT-3 represented a moment in which one scientific era ends and another is born. Mr Altman rightly lowered expectations. The GPT-3 hype is way too much, he tweeted last month. Its impressive but it still has serious weaknesses and sometimes makes very silly mistakes.

OpenAIs software is spookily good at playing human, which explains the hoopla. Whether penning poetry, dabbling in philosophy or knocking out comedy scripts, the general agreement is that the GPT-3 is probably the best non-human writer ever. Given a sentence and asked to write another like it, the software can do the task flawlessly. But this is a souped up version of the auto-complete function that most email users are familiar with.

GPT-3 stands out because it has been trained on more information about 45TB worth than anything else. Because the software can remember each and every combination of words it has read, it can work out through lightning-fast trial-and-error attempts of its 175bn settings where thoughts are likely to go. Remarkably it can transfer its skills: trained as a language translator, GPT-3 worked out it could convert English to Javascript as easily as it does English to French. Its learning, but not as we know it.

But this is not intelligence or creativity. GPT-3 doesnt know what it is doing; it is unable to say how or why it has decided to complete sentences; it has no grasp of human experience; and cannot tell if it is making sense or nonsense. What GPT-3 represents is a triumph of one scientific paradigm over another. Once machines were taught to think like humans. They struggled to beat chess grandmasters. Then they began to be trained with data to, as one observer pointed out, discover like we can rather than contain what we have discovered. Grandmasters started getting beaten. These days they cannot win.

The reason is Moores law, the exponentially falling cost of number-crunching. AIs bitter lesson is that the more data that can be consumed, and the more models can be scaled up, the more a machine can emulate or surpass humans in quantitative terms. If scale truly is the solution to human-like intelligence then GPT-3 is still about 1,000 times smaller than the brains 100 trillion-plus synapses. Human beings can learn a new task by being shown how to do it only a few times. That ability to learn complex tasks from only a few examples, or no examples at all, has so far eluded machines. GPT-3 is no exception.

All this raises big questions that seldom get answered. Training GPT-3s neural nets is costly. A $1bn investment by Microsoft last year was doubtless needed to run and cool GPT-3s massive server farms. The bill for the carbon footprint a large neural net is equal to the lifetime emissions of five cars is due.

Fundamental is the regulation of a for-profit OpenAI. The company initially delayed the launch of its earlier GPT-2, with a mere 1.5bn parameters, because the company fretted over its implications. It had every reason to be concerned; such AI will emulate the racist and sexist biases of the data it swallows. In an era of deepfakes and fake news, GPT-style devices could become weapons of mass destruction: engaging and swamping political opponents with divisive disinformation. Worried? If you arent then remember that Dominic Cummings wore an OpenAI T-shirt on his first day in Downing Street.

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The Guardian view on artificial intelligence's revolution: learning but not as we know it - The Guardian

Digitalized Discrimination: COVID-19 and the Impact of Bias in Artificial Intelligence – JD Supra

[co-author: Jordan Rhodes]

As the world grapples with the impacts of the COVID-19 pandemic, we have become increasingly reliant on artificial intelligence (AI) technology. Experts have used AI to test potential treatments, diagnose individuals, and analyze other public health impacts. Even before the pandemic, businesses were increasingly turning to AI to improve efficiency and overall profit. Between 2015 and 2019, the adoption of AI technology by businesses grew more than 270 percent.

The growing reliance on AIand other machine learning systemsis to be expected considering the technologys ability to help streamline business processes and tackle difficult computational problems. But as weve discussed previously, the technology is hardly the neutral and infallible resource that so many view it to be, often sharing the same biases and flaws as the humans who create it.

Recent research continues to point out these potential flaws. One particularly important flaw is algorithm bias, which is the discriminatory treatment of individuals by a machine learning system. This treatment can come in various forms but often leads to the discrimination of one group of people based on specific categorical distinctions. The reason for this bias is simpler than you may think. Computer scientists have to teach an AI system how to respond to data. To do this, the technology is trained on datasetsdatasets that are both created and influenced by humans. As such, it is necessary to understand and account for potential sources of bias, both explicit and inherent, in the collection and creation of a dataset. Failure to do so can result in bias seeping into a dataset and ultimately into the results and determinations made by an AI system or product that utilizes that dataset. In other words, bias in, bias out.

Examining AI-driven hiring systems expose this flaw in action. An AI system can sift through hundreds, if not thousands, of rsums in short periods of time, evaluate candidates answers to written questions, and even conduct video interviews. However, when these AI hiring systems are trained on biased datasets, the output reflects that exact bias. For example, imagine a rsum-screening machine learning tool that is trained on a companys historical employee data (such as rsums collected from a companys previously hired candidates). This tool will inherit both the conscious and unconscious preferences of the hiring managers who previously made all of those selections. In other words, if a company historically hired predominantly white men to fill key leadership positions, the AI system will reflect that preferential bias for selecting white men for other similar leadership positions. As a result, such a system discriminates against women and people of color who may otherwise be qualified for these roles. Furthermore, it can embed a tendency to discriminate within the companys systems in a manner that makes it more difficult to identify and address. And as the countrys unemployment rate skyrockets in response to the pandemic, some have taken issue with companies relying on AI to make pivotal employment decisionslike reviewing employee surveys and evaluations to determine who to fire.

Congress has expressed specific concerns regarding the increase in AI dependency during the pandemic. In May, some members of Congress addressed a letter to House and Senate Leadership, urging that the next stimulus package include protections against federal funding of biased AI technology. If the letters recommendations are adopted, certain businesses that receive federal funding from the upcoming stimulus package will have to provide a statement certifying that bias tests were performed on any algorithms the business uses to automate or partially automate activities. Specifically, this testing requirement would apply to companies using AI to make employment and lending determinations. Although the proposals future is uncertain, companies invested in promoting equality do not have to wait for Congress to act.

In recent months, many companies have publicly announced initiatives to address how they can strive to reduce racial inequalities and disparities. For companies considering such initiatives, one potential actionable step could be a strategic review of the AI technology that a company utilizes. Such a review could include verifying whether the AI technology utilized by the company is bias-tested and consideration of the AI technologys overall potential for automated discriminatory effects given the context of its specific use.

Only time will reveal the large-scale impacts of AI on our society and whether weve used AI in a responsible manner. However, in many ways, the pandemic demonstrates that these concerns are only just beginning.

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Digitalized Discrimination: COVID-19 and the Impact of Bias in Artificial Intelligence - JD Supra

Analysis Covid 19: Artificial Intelligence in Healthcare Market Scenario 2020 Current Trends, Size, Share and Future Opportunities by 2026 – The…

Impact Analysis of Covid-19

The complete version of the Report will include the impact of the COVID-19, and anticipated change on the future outlook of the industry, by taking into the account the political, economic, social, and technological parameters.

Artificial Intelligence in Healthcare Market Research Study provides detailed information about the key factors influencing the growth of the industry which include drivers, restraints, opportunities, and industry-specific challenges, strategically profile key players and comprehensively analyze their market share and core competencies. This report includes analytical assessment of the prime challenges faced by the Artificial Intelligence in Healthcare industry currently and in the coming years, which helps Market participants in understanding the problems they may face while operating in this market over a longer period of time.

Get Sample PDF Including COVID-19 Impact Analysis: https://www.coherentmarketinsights.com/insight/request-pdf/436

These research report also provides an overall analysis of the market share, size, segmentation, revenue forecasts and geographic regions of the Artificial Intelligence in Healthcare Market along with industry-leading players are studied with respect to their company profile, product portfolio, capacity, price, cost, and revenue. The research report also provides detail analysis on the Artificial Intelligence in Healthcare market current applications and comparative analysis with more focused on the pros and cons of Artificial Intelligence in Healthcare and competitive analysis of major companies.

Major Players Operating in this market include IBM Corporation, Google, Inc., NVIDIA Corporation, Microsoft Corporation, iCarbonX, Next IT Corp., CloudMex Inc., Carescore, Atomwise Inc., Zephyr Health Inc., Deep Genomics Inc., Medtronic Plc., Koninkiljke Philips N.V., and Oncora Medical, Inc.

The key players are highly focusing on innovation in production technologies to improve efficiency and shelf life. The best long-term growth opportunities for this sector can be captured by ensuring ongoing process improvements and financial flexibility to invest in optimal strategies. Company profile section of players includes its basic information like legal name, website, headquarters, its market position, historical background, and top 5 closest competitors by Market capitalization/revenue along with contact information. Each player/ manufacturer revenue figures, growth rate, and the gross profit margin is provided in easy to understand tabular format for past 5 years and a separate section on recent development like mergers, acquisition or any new product/service launch, etc.

In the end, the report makes some important proposals for a new project of Artificial Intelligence in Healthcare Industry before evaluating its feasibility. Overall, the report provides an in-depth insight into the global market covering all important parameters.

Artificial Intelligence in Healthcare Driver Artificial Intelligence in Healthcare Challenge Artificial Intelligence in Healthcare Trend

The report includes chapters which deeply display the following deliverable about the industry:

Research Objective and Assumption

Market Overview Report Description, Executive Summary, and Coherent Opportunity Map (COM)

Market Dynamics, Regulations, and Trends Analysis Market Dynamics, Regulatory Scenario, Industry Trend, Mergerand Acquisitions, New system Launch/Approvals, Value Chain Analysis, Porters Analysis, and PEST Analysis

Global Artificial Intelligence in Healthcare Market, By Regions

Artificial Intelligence in Healthcare Market Competition by Manufacturers including Production, Share, Revenue, Average Price, Manufacturing Base Distribution, Sales Area, and Product Type.

Manufacturers Profiles/Analysis including Company Basic Information, Manufacturing Base, and Its Competitors.

Artificial Intelligence in Healthcare Market Manufacturing Cost Analysis including Key Raw Materials and Key Suppliers of Raw Materials.

Industrial Chain, Sourcing Strategy and Downstream Buyers including Upstream Raw Materials Sourcing and Downstream Buyers

Marketing Strategy Analysis, Distributors/Traders including Marketing Channel, Market Positioning, and Distributors/Traders List.

Market Effect Factors Analysis including Technology Progress/Risk, Consumer Needs/Customer Preference Change, and Economic/Political Environmental Change.

Artificial Intelligence in Healthcare Market Forecast including Production, Consumption, Import, and Export Forecast by Type, Applications, and Region.

Research Findings and Conclusion

Why This Report is Useful? It helps:

1. The report will include the qualitative and quantitative analysis with Artificial Intelligence in Healthcare market estimation and compound annual growth rate (CAGR) between 2020 and 2026

2. Assess the Artificial Intelligence in Healthcare production processes, major issues, and solutions to mitigate the development risk.

3. Comprehensive analysis of market dynamics including factors and opportunities of the global Artificial Intelligence in Healthcare Market will be provided in the report

4. Insights from this report will allow marketers and management authorities of companies to make informed decisions with respect to their future product launch, technology upgrades, market expansion, and marketing tactics.

In this study, the years considered to estimate the market size of 2020-2026 Artificial Intelligence in Healthcare Market are as follows:

History Year: 2016-2018Base Year: 2018Estimated Year: 2019Forecast Year 2020 to 2026

About Us:

Coherent Market Insights is a global market intelligence and consulting organization focused on assisting our plethora of clients achieve transformational growth by helping them make critical business decisions. We are headquartered in India, having office at global financial capital in the U.S. and sales consultants in United Kingdom and Japan. Our client base includes players from across various business verticals in over 150 countries worldwide. We pride ourselves in catering to clients across the length and width of the horizon, from Fortune 500 enlisted companies, to not-for-profit organization, and startups looking to establish a foothold in the market. We excel in offering unmatched actionable market intelligence across various industry verticals, including chemicals and materials, healthcare, and food & beverages, consumer goods, packaging, semiconductors, software and services, Telecom, and Automotive. We offer syndicated market intelligence reports, customized research solutions, and consulting services.

To know more about us, please visit our website http://www.coherentmarketinsights.com

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Analysis Covid 19: Artificial Intelligence in Healthcare Market Scenario 2020 Current Trends, Size, Share and Future Opportunities by 2026 - The...

Artificial Intelligence can improve CT screening to identify patients infected with the Coronavirus – EdexLive

Image for representational purpose only

Researchers are developing a new technique using Artificial Intelligence (AI) that would improve CT screening to more quickly identify patients infected with COVID-19.

The new technique will reduce the burden on the radiologists tasked with screening each image, according to a research team from the University of Notre Dame in the US. Testing challenges have led to an influx of patients hospitalised with COVID-19 requiring CT scans which have revealed visual signs of the disease, including ground-glass opacities, a condition that consists of abnormal lesions, presenting as a haziness on images of the lungs.

"Most patients with coronavirus show signs of COVID-related pneumonia on a chest CT but with a large number of suspected cases, radiologists are working overtime to screen them all," said study lead author Yiyu Shi from the Notre Dame. "We have shown that we can use deep learning -- a field of AI -- to identify those signs, drastically speeding up the screening process and reducing the burden on radiologists," Yiyu added.

The research team is working to identify the visual features of Coronavirus-related pneumonia through analysis of 3D data from CT scans. The team is working to combine the analysis software with off-the-shelf hardware for a light-weight mobile device that can be easily and immediately integrated into clinics around the country.

The challenge, Shi said, is that 3D CT scans are so large, it's nearly impossible to detect specific features and extract them efficiently and accurately on plug-and-play mobile devices.

"We're developing a novel method inspired by Independent Component Analysis, using a statistical architecture to break each image into smaller segments, which will allow deep neural networks to target COVID-related features within large 3D images," Shi wrote.

The research team is collaborating with radiologists at Guangdong Provincial People's Hospital in China and the University of Pittsburgh Medical Centre, where a large number of CT images from COVID-19 pneumonia are being made available. The team hopes to have development completed by the end of the year.

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Artificial Intelligence can improve CT screening to identify patients infected with the Coronavirus - EdexLive

Artificial Intelligence in space: Scientists get 1.1M to help local areas in UK recover from impact of COVID-19 – Silicon Canals

While we are getting through the coronavirus, its repercussions on the economy are bound to linger for some time. The UK governments Ministry of Housing, Communities and Local Govt (MHCLG) has taken this into account to announce new funding for jump starting projects. These projects are aimed at helping recover local areas from the impact of COVID-19. Under the funding, 59M (65.6 million) of projects across Cornwall will share 14.3M (15.9 million) of Getting Building Fund investment, supporting 1,100 jobs.

One of the notable funding from MHCLGs new funding goes to the Goonhilly Satellite Earth Station. It has been awarded 996,817 (1.1M) from the Governments Getting Building Fund for its new Cornwall Institute for Space AI and Receiver Factory. Goonhilly will also be working with the University of Manchester, University of Oxford, University of Leeds and University of Hertfordshire.

A space AI institute and receiver factory at Goonhilly Earth Station. A 3.77m project led by Goonhilly Earth Station Ltd will involve commercial operators across sectors including space, data science, and high-performance computers as well as a consortium of leading universities to progress innovation in space-related artificial intelligence (AI), data analytics, machine learning and advanced manufacturing. The investment will lead to manufacturing and specialist test facilities at Goonhilly for deep space, radio astronomy, and space telecommunication receivers for new and existing markets across the UK and internationally, the official release states.

Located on Goonhilly Downs near Helston on the Lizard peninsula in Cornwall, England, the Goonhilly Satellite Earth Station is a radiocommunication site. Goonhilly will feature a space for companies that can use the facilities and work with the team on various ideas. One of such ideas is delving into different fields of study such as artificial intelligence, machine learning and radio astronomy, which are interconnected. The team will develop algorithms in one field and apply it to solve problems across other fields as well.

The new Receiver Factory acts as an advanced manufacturing facility that can be used to develop Goonhillys own equipment. This in-house manufacturing helps ensure its services are up to the quality it holds, and also to build products to print for third parties. The scientists working at Goonhilly contribute their knowledge of antenna design, space communications, electronics, software and mechanical engineering to develop advanced products for space communication and other related sectors.

Ian Jones, Chief Executive of Goonhilly Earth Station, says, The Getting Building Fund will support a unique opportunity to bring together the important existing telecommunications assets at Goonhilly alongside investment in state-of-the-art testing and manufacturing. This is an important move forward in Cornwalls space journey developing new capabilities in invention, build and production for a growing global market. This will establish Goonhilly as the premier UK site for satellite receiver manufacture combined with innovation in artificial intelligence and machine learning.

Image credits: Goonhilly Earth Station on Twitter

Check out the innovations that took home the Blue Tulip Awards this 2020

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Artificial Intelligence in space: Scientists get 1.1M to help local areas in UK recover from impact of COVID-19 - Silicon Canals

This Week in Technology + Press Freedom: Aug. 9, 2020 – Reporters Committee for Freedom of the Press

Reminder! If you havent had a chance to fill out our five-minute survey about This Week in Technology and Press Freedom, please take a few moments to do so. Your answers will help us understand what content you want to see in the newsletter, when you want to hear from us, and more. This survey will be open until 5 p.m. ET on Aug. 24. We really appreciate your feedback!

Heres what the staff of the Technology and Press Freedom Project at the Reporters Committee for Freedom of the Press is tracking this week.

TPFPs Linda Moon recently discussed leaks, government surveillance, and protecting sources during a conversation with Barton Gellman, an award-winning journalist and author of Dark Mirror: Edward Snowden and the Surveillance State.

Gellman, now a staff writer at The Atlantic and senior fellow at the Century Foundation in New York, led The Washington Posts reporting on classified National Security Agency documents he received from former intelligence officer and contractor Edward Snowden. The documents revealed theremarkable powerof the NSAs surveillance programs, and Gellmans stories on the documents prompted national discussions about privacy and national security.

Gellman and Moon discussed the obstacles Gellman faced in obtaining and publishing accurate information while keeping himself and his sources safe.

Once Gellman found a credible source in Snowden, he looked for a news organization that would back him and bear any potential legal risks. This led Gellman to go to the Post, his former employer. With the Posts support, he was able to scour tens of thousands of documents received from Snowden and break stories one by one.

Gellman has a long history of championing free speech. As the editor of his high school newspaper, Gellman commissioned stories about teen pregnancy. The schools principal fired him for the stories and burned the printed newspapers. Gellman and two friends sued her on First Amendment grounds.

Gellman eventually won a favorable settlement, but by then he was in college and unable to publish the stories. That taught me something about the efficacy of litigation, he said. Sometimes you win in principle but not in practice. Its not always the right answer, but sometimes its indispensable.

As a client of Reporters Committee attorneys, Gellman is currently pursuing government records mentioning his name through Freedom of Information Act litigation. He made a series of FOIA requests for those records over six years ago, after seeing his name in Snowdens documents. Gellmans FOIA case is as relevant as ever: As discussed below, the U.S. Department of Homeland Security has recently been gathering intelligence on journalists.

Gellman said that although he is sometimes persuaded by government officials not to publish certain material, other times publication is in the public interest. If we didnt have reporters making decisions on the margins, he said, then you would never know there was a torture program after 9/11. You would never know about secret prisons. You wouldnt know about unlawful domestic surveillance.

Gellman added, Over the history of this country, people have done bad things with this national security power. Theyve experimented on human beings. And I just cant accept a set of rules that would say the government is entitled to keep that secret forever.

Sign up for This Week in Technology and Press Freedom to access the full interview.

Sasha Peters

The Reporters Committee recently filed afriend-of-the-court briefinLokhova v. Halper, a case in the U.S. Court of Appeals for the Fourth Circuit. The plaintiff claimed that hyperlinks to previous news stories, as well as third-party tweets linking to those stories, constituted republication and restarted the statute of limitations clock on her defamation claims against four news organizations. The lower court disagreed. The Reporters Committees brief, joined by 29 media organizations, highlights the legal and policy concerns that would arise if the appellate court held otherwise.

The Reporters Committee, along with the Knight First Amendment Institute at Columbia University, also filed afriend-of-the-courtbrief inAlasaad v. Wolf, a case in the U.S. Court of Appeals for the First Circuit. A federal district court in Boston previouslyfoundthat suspicionless border searches of electronic devices violate the Fourth Amendment, but held that border officers need only reasonable suspicion, rather than probable cause, to conduct such searches going forward. The plaintiffs, a group of U.S. citizens and one lawful permanent resident who had their devices searched at border entry points, now challenge that determination. The Reporters Committees brief in support of the plaintiffs highlights the implications of electronic device searches for newsgathering and argues that warrantless searches at the borderviolate the First Amendment.

The U.S. Department of Homeland SecurityremovedBrian Murphy from his post as acting undersecretary for intelligence and analysis after The Washington Post reported that Murphys office compiled intelligence reports on two journalists who published unclassified information about DHSs activities in Portland, Oregon. In response to the Posts reporting, the Reporters Committee issued astatementnoting that federal law prohibits the creation of dossiers on journalists precisely because doing so can morph into investigations of journalists for news coverage that embarrasses the government, but that the public has a right to know.

A day afterreportssurfaced that the materials for a mandatory media training course taken by all Department of Defense personnel referred to protesters and journalists as adversaries, Defense Secretary Mark Esperdirected the Pentagonto update the language to refer to those trying to obtain information as unauthorized recipients. Several former government officials criticized the language choice, including former Pentagon Press Secretary George Little, who called the characterization appalling and dangerous.

After the Trump administration withheld congressionally approved funds from The Open Technology Fund, a U.S. internet freedom organization, OTF wasforcedto stop 49 of its 60 projects, likely impacting the ability of millions of people around the world to access the internet and uncensored news from Voice of America. Notably, OTF works to protect journalists and their sources from digital attacks, raising concerns that halting support of its tools could threaten secure operating systems in surveillance-heavy countries and endanger those who rely on the organizations work.

The White House is once againfacing a lawsuitdemanding that Trumps personal Twitter account unblock users who are critical of him. Two years ago, a federal judge found that his blocking practicesviolatedthe First Amendment, a rulingupheldby an appeals court.The new lawsuit alleges that while Trump unblocked some critics, he refused to unblock, among others, those who were blocked before he took office.

The security firm FireEye recentlyreportedthat a group of hackers have been breaking into legitimate Eastern European news sites to spread anti-NATO disinformation. The disinformation campaign involves hackers spreading the fakenews articles on social media before they are taken down. According to FireEye, the hacking operation has been active since at least March 2017.

Former CIA Director John Brennandetailsin his new memoir how the White House specifically restricted his access to classified files after he left the agency, a permission often granted to former directors who are writing books because the manuscripts undergo governmental review for national security information. Brennan alleged that access restrictions were in retaliation for his criticism of the Trump administration.

Smart read

The National Security Agency has posted apublic advisoryon how to avoid location data tracking on mobile devices. Ultimately, if you really dont want to be tracked, NSA officials say, leave your phone at home.

Gif of the Week:This marks the last newsletter for our colleague Linda Moon, who will be wrapping up her fellowship with the TPFP team early this week. We miss you already, Linda, and best of luck on the next chapter!

Like what youve read?Sign up to get This Week in Technology + Press Freedom delivered straight to your inbox!

The Technology and Press Freedom Project at the Reporters Committee for Freedom of the Press uses integrated advocacy combining the law, policy analysis, and public education to defend and promote press rights on issues at the intersection of technology and press freedom, such as reporter-source confidentiality protections, electronic surveillance law and policy, and content regulation online and in other media. TPFP is directed by Reporters Committee Attorney Gabe Rottman. He works with Stanton Foundation National Security/Free Press Fellow Linda Moon, Legal Fellows Jordan Murov-Goodman and Lyndsey Wajert, and Legal Intern Sasha Peters.

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This Week in Technology + Press Freedom: Aug. 9, 2020 - Reporters Committee for Freedom of the Press