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Tensions Flare: Is Bitcoin Cash Headed to Another Catastrophic Fork? – Cointelegraph

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The Bitcoin Cash (BCH) community is divided over whether to change the cryptocurrencys difficulty adjustment algorithm, with a recent developer meeting reportedly concluding with attendees storming out of the event.

On August 4, Chris Pacia, the lead developer of the peer-to-peer marketplace OpenBazaar and a volunteer BCH developer, tweeted that multiple people walk[ed] out of the meeting as consensus was not reached over whether to make adjustments to Bitcoin Cashs difficulty algorithm.

Ethereum co-founder Vitalik Buterin tweeted in reply that he doesnt understand with BCH people care so much given your algo is fine as is and added:

I will be honest; being optimistic that BCH development would improve once they got Craig [Wright] out is definitely looking like one of my worse predictions.

Some reports indicate that growing tensions over the difficulty algorithm may result in yet another BCH chain split. Outspoken Australian BCH proponent Hayden Otto tweeted: I will be sticking with the Bitcoin Cash (BCH) chain this coming chain split.

But speaking to Cointelegraph, Otto said his tweet was meant as a joke to troll those opposing BCHs core Bitcoin ABC developers.

He played down the significance of the community disagreeance as a trivial matter, but also said that enemy operatives who pose as BCH supporters are using the difficulty adjustment algorithm (DAA) as a wedge issue to create chaos and sow division:

Changing the DAA has been made a priority issue by a select few people who want to stop miners gaming the current DAA by switching large amounts [of] hashrate to and from BCH which results in inconsistent block mining times, he said.

This really only affects people who are depositing to exchanges which require an unnecessary amount of confirmations for deposits, but doesn't affect the vast majority of people using BCH in a personal or business capacity where 0 confirmations are sufficient.

According to Otto, Bitcoin ABC announced a forthcoming overhaul to the difficulty algorithm come BCHs next scheduled upgrade on November 15. However, he asserts those who pushed for the adjustment remain unhappy because ABCs proposed upgrade doesnt go as far as the BCHN implementation that they have suggested.

Despite the disagreement, Otto believes that a BCHN chain split is unlikely, stating that the BCHN software is not widely adopted by miners and thus its supporters will not have a majority vote to get their desired changes through on the upgrade date.

They are now relying on proof of social media tactics in an attempt to persuade miners and businesses who run ABC to capitulate and swap over to the BCHN software.

Right now it's all just posturing online, but when it comes to the upgrade date I don't think the BCHN supporters will follow through on anything. They will be a minority chain and another split would be catastrophic for anyone following the minority chain, Otto concluded.

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Tensions Flare: Is Bitcoin Cash Headed to Another Catastrophic Fork? - Cointelegraph

Global Geospatial Solutions & Services Market Artificial Intelligence (AI), Cloud, Automation, Internet of Things (IoT), and Miniaturization of…

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The global geospatial solutions & services market accounted for US$ 238.5 billion in 2019 and is estimated to be US$ 1013.7 billion by 2029 and is anticipated to register a CAGR of 15.7%

Covina, CA, Aug. 04, 2020 (GLOBE NEWSWIRE) -- The report"Global Geospatial Solutions & Services Market, By Solution Type (Hardware, Software, and Service), By Technology (Geospatial Analytics, GNSS & Positioning, Scanning, and Earth Observation), By End-user (Utility, Business, Transportation, Defence & Intelligence, Infrastructural Development, Natural Resource, and Others), By Application (Surveying & Mapping, Geovisualization, Asset Management, Planning & Analysis, and Others), and By Region (North America, Europe, Asia Pacific, Latin America, and the Middle East & Africa) - Trends, Analysis and Forecast till 2029.

Key Highlights:

Request Free Sample of this Business Intelligence Report @https://www.prophecymarketinsights.com/market_insight/Insight/request-sample/4412

Analyst View:

Geospatial technology comprises GIS (geographical information systems), GPS (global positioning systems), and RS (remote sensing), a technology that provides a radically different way of producing and using maps that are required to manage communities and industries. Developed economies are expected to provide lucrative opportunities to the industry for geospatial solutions. The application of geospatial techniques across the globe has witnessed a steady growth over the past decades, owing to simple accessibility of geospatial technology in advanced nations such as the U.S. and Canada, thus further driving growth of the target the market. Moreover, rising smart city initiatives in emerging countries have resulted in the growing need for geospatial technologies for use in 3D urban mapping, monitoring and mapping natural resources. Increasing adoption of IoT, big data analysis, and Artificial Intelligence (AI) across the globe is projected to create profitable opportunities for global geospatial solutions & services market throughout the forecast period.

Browse 60 market data tables* and 35figures* through 140 slides and in-depth TOC on Global Geospatial Solutions & Services Market, By Solution Type (Hardware, Software, and Service), By Technology (Geospatial Analytics, GNSS & Positioning, Scanning, and Earth Observation), By End-user (Utility, Business, Transportation, Defence & Intelligence, Infrastructural Development, Natural Resource, and Others), By Application (Surveying & Mapping, Geovisualization, Asset Management, Planning & Analysis, and Others), and By Region (North America, Europe, Asia Pacific, Latin America, and the Middle East & Africa) - Trends, Analysis and Forecast till 2029

Ask for a Discount on this Report @https://www.prophecymarketinsights.com/market_insight/Insight/request-discount/4412

Key Market Insights from the report:

The global geospatial solutions & services market accounted for US$ 238.5 billion in 2019 and is estimated to be US$ 1013.7 billion by 2029 and is anticipated to register a CAGR of 15.7%. The market report has been segmented on the basis of solution type, technology, end-user, application, and region.

To know the upcoming trends and insights prevalent in this market, click the link below:

https://www.prophecymarketinsights.com/market_insight/Global-Geospatial-Solutions-&-Services-Market-4412

Competitive Landscape:

The prominent player operating in the global geospatial solutions & services market includes HERE Technologies, Esri (US), Hexagon (Sweden), Atkins PLC, Pitney Bowes, Topcon Corporation, DigitalGlobe, Inc. (Maxar Group), General Electric, Harris Corporation (US), and Google.

The market provides detailed information regarding the industrial base, productivity, strengths, manufacturers, and recent trends which will help companies enlarge the businesses and promote financial growth. Furthermore, the report exhibits dynamic factors including segments, sub-segments, regional marketplaces, competition, dominant key players, and market forecasts. In addition, the market includes recent collaborations, mergers, acquisitions, and partnerships along with regulatory frameworks across different regions impacting the market trajectory. Recent technological advances and innovations influencing the global market are included in the report.

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About Prophecy Market Insights

Prophecy Market Insights is specialized market research, analytics, marketing/business strategy, and solutions that offers strategic and tactical support to clients for making well-informed business decisions and to identify and achieve high-value opportunities in the target business area. We also help our clients to address business challenges and provide the best possible solutions to overcome them and transform their business.

Some Important Points Answered in this Market Report Are Given Below:

Key Topics Covered

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Global Geospatial Solutions & Services Market Artificial Intelligence (AI), Cloud, Automation, Internet of Things (IoT), and Miniaturization of...

Crypto WarGames: Ethereum Cypherpunk Virgil Griffith Vs. Bitcoin Twitter Thief Graham Clark – Forbes

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WarGames, a movie from 1983, stars a young Matthew Broderick as a computer whiz kid who accidentally connects into a top secret super-computer which has complete control over the U.S. nuclear arsenal. After his exploits result in triggering a countdown that almost leads to World War III between America and Russia, a Hollywood ending allows Brodericks character to save the day.

Actor Matthew Broderick plays the role of David Lightman in the movie WarGames (1983) as his ... [+] computer hacking almost starts World War III between the U.S. and Russia.

Only more absurd than this story would be if Hollywood created a tale where a 17-year old manages to bypass security at Twitter, take control of several popular accounts including Elon Musk and Joe Biden, and then solicits Bitcoin with an anonymous online address. Of course, for the year 2020 where the unexpected continues, a Mr. Graham Ivan Clark is accused of doing this very thing. His Crypto War Games scenario has landed him in court in Florida facingcharges of communications fraud, and fraudulent use of personal information, as well as accessing computers or electronic devices without authority.

Graham Clark, Twitter Hacker, Bitcoin Thief

Clark has been profiled in the New York Times as a troubled youth, who had a history back to stealing from others with respect to the video game Minecraft. Ultimately, the idea of a hacker simply disrupting a major social media channel with the sole purpose of stealing Bitcoin leaves Mr. Clarks story more as one of a common criminal than the innocent hacking of a computer system.

Luckily for the world, Clarks actions were not at the level of a terrorist or evildoer that could have potentially caused much more harm, particularly with President Trumps use of Twitter as a regular form of communication with the public. If anything was provided of value from this mans exploits, it is likely the post-mortem on how to protect social media platforms in the future as they have become a common and popular medium of communication.

Meanwhile, although there is the tale of another youthful whiz kid named Virgil Griffith, who was arrested for teaching cryptocurrency and blockchain in North Korea. For Griffith, 37 years old, his history with hacking and coding on computer systems goes all the way back to 2008, where he was described in a New York Times magazine article as an Internet Man of Mystery.

Over 12 years ago, it was a program called WikiScanner that Griffith developed as a way of determining if corporations were updating stories in Wikipedia to their advantage. His solution was to determine if the IP addresses of the uploads were traceable back to the corporate buildings of the companies. Indeed, Griffith certainly fulfilled his most famous quote where he explained his purpose was to, tocreateminorpublic-relations disasters forcompaniesandorganizationsI dislike".

Picture of Virgil Griffith aka 'RomanPoet', or 'Internet Man of Mystery'

As opposed to the common Bitcoin thief, Griffith plays the role much closer to our protagonist in WarGames, as a modern day Renaissance Man, or an Ethereum cypherpunk. Griffith is credited by Vitalik Buterin, the co-founder of Ethereum, for the role he played as a leading scientist and researcher for Ethereum. Ethereum, often considered the next advanced development in blockchain after Bitcoin, envisions a new form of an Internet that is not dominated by the largess of profits going to Big Tech corporations.

Regarding the moniker cypherpunk, this person is an activist advocating widespread use of strong cryptography a route to social and political change aimed at maintaining privacy in a modern world. However, for the visionary Griffith, he took this concept to new levels where he graduated from simply developing programs or platforms - whether WikiScanner or Ethereum - and decided to travel to the Democratic Peoples Republic of Korea (DPRK) and offer a presentation on Blockchain and Peace.

Griffith, who faces chargesfor traveling toNorth Koreato teach cryptocurrency and blockchain technology to evade economic sanctions, currently awaits trial at home with his parents in Alabama. Represented by the famous high-stakes trial attorney Brian Klein of Baker Marquat who often helps in defense cases regarding crypto matters, Griffiths trial may result in a Hollywood ending and find him back at work with Buterin at the Ethereum Foundation.

Ultimately, Griffith is the Ethereum cypherpunk, an activist on a mission where getting arrested is more of an incidental byproduct to his hopes for achieving world peace through crypto. Meanwhile, the world watches with interest at Clark, who as a Bitcoin Twitter thief, does not have the promise of a young Griffith. It is likely that for Clark, justice will be firm and swift and likely one that is to provide a lesson to other young teenagers in the U.S. about the dire consequences of breaking into large social media platforms. For Griffith, it may be more about the book deal or movie actor that will play his story - the story of the purposeful activist of cypherpunks, from which Bitcoin was born in 2008 and around which the fast-growing crypto and blockchain industry continues to grow.

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Crypto WarGames: Ethereum Cypherpunk Virgil Griffith Vs. Bitcoin Twitter Thief Graham Clark - Forbes

Cryptocurrency This Week: India Could Ban Virtual Currencies & More – Inc42 Media

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The Indian government is reportedly having inter-ministerial consultations on a proposed bill to ban all types of cryptocurrencies

Ripple CEO says there is an erosion of trust in global financial markets

Chinas central bank is planning to use its digital currency to challenge the dominance of Alipay and WeChat pay

Trouble may be looming on the horizon for cryptocurrency trading platforms in India, with the government reportedly moving into advanced deliberations over a bill from last year which seeks a complete ban on virtual currencies.

The bill, entitled, Banning of Cryptocurrency and Regulation of Official Digital Currency Bill, 2019, was drafted by an inter-ministerial committee headed by former Finance and Department of Economic Affairs (DEA) Secretary Subhash Chandra Garg. Lawyer Mohammed Danish, the co-founder of Crypto Kanoon, a crypto regulatory media platform, had filed an RTI application with the Department of Economic Affairs to establish whether media reports suggesting that the government had begun consultations on the bill were accurate.

In his RTI, Danish had inquired, Has any cabinet note been sent for IMC (inter-ministerial consultation) on the legal framework of cryptocurrencies/virtual currencies? and, Does this cabinet note seek inter-ministerial consultation on Banning of Cryptocurrency & Regulation of Official Digital Currency Bill, 2019? If not, what is the purpose of this cabinet note?

In its reply to Danishs RTI, the Department of Economic Affairs wrote, The government had set up an inter-ministerial committee (IMC) for examining the issue of cryptocurrencies. The report of the IMC on VCs (virtual currencies) has since been submitted by its members but is awaiting approval of the government. The report and bill will now be examined by the government through inter-ministerial consultation by moving a cabinet note in due course.

The proposed bill calls for a complete ban on all cryptocurrencies and related activities such as mining, holding, advertising, promoting, buying, selling and providing exchange services, among other things. Indian institutions have long been hostile towards cryptocurrencies as it is believed that such currencies are used for anti-social purposes such as funding terrorist activities, a fact backed through evidence collected by the Financial Action Task Force (FATF), an inter-governmental organisation to combat money laundering. These supposed ramifications are believed to be a consequence of cryptocurrencies being outside the purview of any countrys central bank, the lack of any underlying fiat, episodes of excessive volatility in their value, and their anonymous nature which goes against global money-laundering rules.

In March this year, the Supreme Court quashed a Reserve Bank of India (RBI) circular from 2018 which had ordered a banking ban on cryptocurrencies in India. Since the SC order, there has been a spurt in cryptocurrency-related activities in India, with some crypto exchange platforms reporting a 400% spike in trading activity. It remains to be seen if the positive outlook for cryptocurrency exchange platforms in India will hit a roadblock with the coming of a blanket ban on virtual currencies possibly in the upcoming monsoon session of the Indian Parliament, the dates for which are yet to be notified

In other news, Bitcoin is trading at $11,135 at the time of writing, reporting a marginal increase of 1.69% from last week, when the price of a Bitcoin was $10,949. Bitcoins market cap is $205.46 Bn.

Ethereum is trading at $391.52, reporting an increase of around 24% from last week, when the price of Ethereum was $316.6. Ethereums market cap is $43.86 Bn.

Brad Garlinghouse, CEO of global payments system Ripple, has said that in an uncertain world where the global economy is witnessing a downturn due to the financial disruption caused by the Covid-19 pandemic, governments were seriously considering the blockchain technology. Garlinghouse, in a series of tweets, while commenting on a Bloomberg article which detailed the pros and cons of potential alternatives to the dollar such as gold, yuan and crypto, said that with the erosion of trust in the global financial system, people will inevitably gravitate towards cryptocurrencies. It addresses frictions (settlement, transparency, among others) that were assumed VERY hard to solve before. Crypto is up 80% while USD is down 3% YTD, Garlinghouse wrote in a tweet.

Garlinghouse admitted that the US dollars dominance as the backbone of the global financial infrastructure wasnt going to be lost anytime soon to other assets such as gold, the yuan or crypto, among others, anytime soon. But is it weaker today? he asked. Evidently, as the dollar index, which measures the greenback against a host of leading currencies, had its worst month in a decade in July, as it lost more than 4%. It is down 10% from its peak in March.

Chinas central bank, the Peoples Bank of China (PBoC), is reportedly planning to use its digital currency electronics system to counter the dominance of Chinese tech giants Alibaba and Tencent in the countrys digital payments sector. The report comes only a few days after it was reported that PBoC had promoted an antitrust investigation against both companies digital payments platforms, Alipay and WeChat Pay for suppressing competition in the sector. PBoC will use the DCEP to provide banks equal opportunities in the field of digital payments as it earlier did to technology giants.

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Cryptocurrency This Week: India Could Ban Virtual Currencies & More - Inc42 Media

Making money on Bitcoin and cryptocurrency futures – htxt.africa

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Written by Noah Abbe, analyst and trader at BTCC UK

Traders all around the world are always looking for opportunities to make money. With progression of time and technological advancements, the traders life and opportunities have evolved along as well. Introduction of virtual financial assets, along with the popularity of the futures of virtual currency has brought interest from traders globally.

Bitcoin was the first cryptocurrency launched in 2009 and remained relatively low in terms of value the first few years until reaching a massive high in 2017 and staying close to a $10K mark now.

Looking at the chart above, having traded below a $2 000 mark until 2017, there was an upsurge in price where the return went as high as to 10 times in a single year.

That makes it a 10x or 1 000 percent in a single year of holding. Not just that, Bitcoin has provided immense such gains each year, with volatility so great that a trader could have made more than a 10x/1 000 percent each year in the previous three years just by trading.

In December of 2017, the two largest global exchanges the CBOE and CME launched the derivatives for Bitcoin which allowed the traders to take benefit of leverage Bitcoin trading.

The futures then allowed the traders to take a long as well as a short position on the Bitcoin letting the traders take benefit of each and every available opportunity that grew out as a result of rising volatility.

Looking at the graph above, it can be easily seen that BTC futures was close to $7 000 at the start of the year, where they rose to $10 000 mark, fell down to $5 000 during the ongoing pandemic, beginning in March 2020.

Soon thereafter, recovery of Bitcoin started and the futures rose as well. The retracement is now close to a 100 percent from the beginning of 2020 in February and currently trades close to $9 270 for a contract.

Let us consider if there are any opportunities available.

Just looking at the above available graph, there is another possibility of Bitcoin Futures.

The moment the futures break above the $9 500 mark, the futures would be moving up towards the $10 400 mark in a matter of a few days. Since the futures work on the underlying commodity which in this case is Bitcoin itself, this means that Bitcoin is ready to provide a move as well.

The lower black line should be the stopping point for any long move, where the upper pink line noting 2020 Febs previous top as the likely target.

Having earned a technical view, I decided to go long on a 10x leverage where I enter when Bitcoin has provided me a breakout above $9 500.

I keep my target as $10 400 with a stop of $9 320. In that case, my stop-loss is $180 for the move while my target is $900 on the long move, making my Risk to Reward Ratio (RR Ratio) 1:5.

On every $1 that I have put at stake to lose on the basis of the wrong view, I can earn $5 A view that is prepared on technical basis led by experience, a defined stop-loss and moves is not gambling.

Instead, its an opportunity to trade. And the stop-loss, if taken, are the costs of doing business.

So, lets explain the above example in detail.

Lets say, I went long at $9 500 with a 20x leverage buying 1BTC contract each. So, I have now effectively exposure of 20BTC.

The money at risk that I have is 20 times the $180, making it $3 600 as the amount that I can lose. On the other hand, given that my technical view is right, on my exposure of position, I can in against make 20 x $900 = $18 000.

So, given that my RR ratio is good enough and I am making the right moves, assuming I took five trades and only one of them went right, I would still not be in a loss, if my three out of five or four out of five trades go right.

With a preview given on how to trade the contracts of Bitcoin futures, let us now speak about which platform to choose for your trading.

You need a platform which is safe, offers you a good leverage option and enough liquidity with low costs of position. For this purpose, I suggest BTCC.com.

It has options of letting you trade at a 100x leverage, with signup free bonus of $1 000 and allows you to trade nine pairs of major cryptocurrencies which include Bitcoin, Ethereum, Litecoin, EOS, Bitcoin Cash, XRP, ADA, XLM and Dash.

The signup option takes 30 seconds and the charting option that the platform provides is extremely lucrative. It also offers a customer service option and financial security, making it one of the best available options globally.

Find out how to make your first Bitcoin or crypto futures trade on BTCC here.

Disclaimer: There are risks attached to investing, trading and speculating. With hefty gains, there is always a risk of losing your money given that you are not adequately taking care of it. It is advised that you follow safety measures which could include using technical entries, stop loss(es) and targeted exits. Understanding leverage is significant. Consulting your independent financial advisor before entering into any commercial trade is highly advisable.

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Making money on Bitcoin and cryptocurrency futures - htxt.africa

Artificial Intelligence and Machine Learning Path to Intelligent Automation – Embedded Computing Design

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With evolving technologies, intelligent automation has become a top priority for many executives in 2020. Forrester predicts the industry will continue to grow from $250 million in 2016 to $12 billion in 2023. With more companies identifying and implementation the Artificial Intelligence (AI) and Machine Learning (ML), there is seen a gradual reshaping of the enterprise.

Industries across the globe integrate AI and ML with businesses to enable swift changes to key processes like marketing, customer relationships and management, product development, production and distribution, quality check, order fulfilment, resource management, and much more. AI includes a wide range of technologies such as machine learning, deep learning (DL), optical character recognition (OCR), natural language processing (NLP), voice recognition, and so on, which creates intelligent automation for organizations across multiple industrial domains when combined with robotics.

Let us see how some of these technologies help industries globally to implement automation.

Machine learning has recently been applied to detect anomalies in manufacturing processes. Using machine learning, health monitoring of the equipment can be automated where the specialties of the sensor devices data like vibrations, sound, temperature, etc. from the collected data can be learned through training.

This is useful to identify early wear and tear of equipment and avoid catastrophic damage. It can catch the smallest flaw that the human eye may miss. Techniques can be selected depending on the type of attributes required to extract the features and based on the features various machine learning algorithms can be applied to detect the anomalies.

One of the main tasks of any machine learning algorithm in the self-driving car is a continuous rendering of the surrounding environment and the prediction of possible changes to those surroundings. It is essential for autonomous cars to recognize objects or pedestrians on the road, irrespective whether it is day or night. For the success of autonomous cars, automobile companies integrate advanced driver assist systems (ADAS) with thermal imaging.

By executing deep learning algorithms on the image data set that are captured by thermal cameras, it is possible to identify pedestrians in any weather condition. It can cover a larger or small part of the image based on distance. There are few deep learning algorithms like Fast R-CNN or YOLO that can help achieve this automation making autonomous cars safer and efficient on roads.

OCR is another technology which uses deep learning to recognize characters. It is of great use in manufacturing to automate processes which are subject to human errors due to fatigue or casual behavior. These activities include verifications of lot code, batch code, expiry date etc. Various CNN architectures like LeNet, Alexnet etc. can be used for this automation and it can also be customized to achieve the desired accuracy.

Loaning money is a huge business for financial institutions. The value and approval of the loans is entirely based on how likely an individual or business will be able to repay. Determining creditworthiness is most important decision for this business to succeed. Along with credit score various other parameters are considered for making such decisions which makes the whole process very complex and time consuming.

To save on time and accelerate the process, trained machine learning algorithms can be used to predict and classify the creditworthiness of the applicant. This can simplify the classification of applicants and improve decision making for loan sanction.

AI and ML is creating a new vision of machine-human collaboration and taking businesses to new levels. Machine learning helps organizations across various industrial domains to develop intelligent solutions based on proprietary or open source algorithms/frameworks that processes data and runs sophisticated algorithms on cloud and edge. Machine Learning models can be built, trained, validated, optimized, deployed and tested using latest tools and technologies. This ensures faster decision making, increased productivity, business process automation, and faster anomaly detection for the businesses.

Kaumil Desai is associated withVOLANSYSas a Delivery Manager past 3 years. He has vast experience in product development, Machine Learning on edge, complex algorithms design & development for various industries including Industrial Automation, Electrical safety, Telecom, etc.

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Artificial Intelligence and Machine Learning Path to Intelligent Automation - Embedded Computing Design

Preparing new machine learning models used to take weeks Activeloop teams up with NVIDIA to reduce that time to hours – MENAFN.COM

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(MENAFN - EIN Presswire)

Activeloop user interface and toolset work with NVIDIA processing to help InteinAir achieve great ML results

Activeloop.ai logo

Y Combinator alum achieves better aerial data pipelines for IntelinAir in an industry-leading Agriculture Tech solution

MOUNTAIN VIEW, CA, USA, August 4, 2020 / EINPresswire.com / -- In a case study now available online, Activeloop ( [To enable links contact MENAFN] ), a Y Combinator-backed startup, is announcing a major success in helping an early customer, IntelinAir , improve the efficiency of their AI analysis of aerial footage. Activeloop's software builds plug-and-play data pipelines for unstructured data. The software helps data scientists streamline their data aggregation and preparation, and automates and optimizes their training of machine learning models. Together with NVIDIA , Activeloop has achieved a massive reduction in the time-to-value and cost of machine learning / deep learning efforts. The case study documents a breakthrough in the field of aerial imagery with their joint customer IntelinAir, a leading crop intelligence firm.

Activeloop's solution is becoming available just in time for the exploding artificial intelligence and advanced machine learning market, projected to grow up to $281.24 billion by 2026 with CAGR of 37.95%. This coincides with the massive growth of data available to be analyzed by AI. All data generated by the end of 2020 will be about 40 trillion gigabytes (40 zettabytes), with IBM estimating that 90% of it has been created over the past 2 years. As data gets bigger faster than ever, translating it into actionable insights is becoming increasingly difficult and expensive. As a result, the effort needed to set up a new model and get it running efficiently can be beyond the reach of many teams who could otherwise benefit from machine learning. Existing solutions often have large cloud storage and processing costs. These solutions can't be made more efficient without radical changes.

'Unstructured data - including text, images, or videos, comprises about 80-90% of the data people generate today', says Davit Buniatyan, Activeloop Founder and CEO. 'As it comes in different forms, sizes, and even shapes, analyzing and managing it is an extremely difficult and costly task. In fact, data scientists spend about 50 to 80% of their time setting up their unstructured dataset rather than analyzing it via machine or deep learning. We're changing that by creating a fast, simple platform for building and scaling data pipelines for machine learning.'

'We operate in an agile fashion: we want to focus on building high-quality models instead of fighting with data pipelines, infrastructure, and deployment challenges' says Jennifer Hobbs, Director of Machine Learning at IntelinAir. 'Thanks to Activeloop, we've been able to deploy new models in a matter of days instead of weeks. With the help of Activeloop's platform and NVIDIA's powerful GPUs, we were able to increase the inference speed threefold and improve the accuracy of the trained models at half the cost."

You can read more about the success story here: [To enable links contact MENAFN] .

###

About Activeloop

Activeloop ( [To enable links contact MENAFN] ), is a startup backed by Y Combinator and prominent Silicon Valley investors. The company has already been featured by major outlets including TechCrunch and is now coming out of stealth mode to make its product available to the machine learning community. Formerly named Snark AI, Activeloop aims to optimize the way machine and deep learning models are trained and streamline the huge amounts of data required for this work. Activeloop is a member of NVIDIA's Inception program for AI/ML development.

About IntelinAir

IntelinAir ( [To enable links contact MENAFN] ) is a full-season and full-spectrum crop intelligence company focused on agriculture that delivers actionable intelligence to help farmers make data-driven decisions to improve operational efficiency, yields, and ultimately their profitability.

Mikayel HarutyunyanActiveloop.ai+1 415-876-5667email us here Visit us on social media:Facebook Twitter LinkedIn

Activeloop introduction and demo

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Preparing new machine learning models used to take weeks Activeloop teams up with NVIDIA to reduce that time to hours - MENAFN.COM

Artificial Intelligence and Machine Learning Industry 2020 Market Manufacturers Analysis, Share, Size, Growth, Trends and Research Report 2026 -…

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Artificial Intelligence and Machine Learning Market 2020-2026 Industry research report covers the market landscape and its growth prospects over the coming years, the report also brief deals with the product life cycle, comparing it to the relevant products from across industries that had already been commercialized details the potential for various applications, discussing about recent product innovations and gives an overview on potential regional market.

Get Sample Copy of this Report https://www.orianresearch.com/request-sample/1432622

The report includes executive summary, global economic outlook and overview section that provide a coherent analysis on the Artificial Intelligence and Machine Learning market. Besides, the report in the market overview section delineates PLC analysis and PESTLE analysis to provide thorough analysis on the market. The overview section further delves into Porters Five Force analysis that helps in revealing the competitive scenario with regards to Artificial Intelligence and Machine Learning market revealing the probable scenario of the market.

Analysis of Artificial Intelligence and Machine Learning Market Key Manufacturers: IBM Corporation, BigML, Inc., SAP SE, SAS Institute Inc., Fair Isaac Corporation, Microsoft Corporation, Google, Inc., Baidu, Inc., Amazon Web Services Inc., Intel Corporation and Hewlett Packard Enterprise Development LP (HPE)

The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides overview and forecast of the global Artificial Intelligence and Machine Learning market based on various segments. It also provides market size and forecast estimates from year 2020 to 2026 with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South & Central America. The Artificial Intelligence and Machine Learning market by each region is later sub-segmented by respective countries and segments. The report covers analysis and forecast of countries globally along with current trend and opportunities prevailing in the region.

Global Artificial Intelligence and Machine Learning Industry 2020 Market Research Report is spread across 101 pages and provides exclusive vital statistics, data, information, trends and competitive landscape details in this niche sector.

With tables and figures helping analyze worldwide Global Artificial Intelligence and Machine Learning Market, this research provides key statistics on the state of the industry and is a valuable source of guidance and direction for companies and individuals interested in the market.

At the same time, we classify different Artificial Intelligence and Machine Learning based on their definitions. Upstream raw materials, equipment and downstream consumers analysis is also carried out. What is more, the Artificial Intelligence and Machine Learning industry development trends and marketing channels are analyzed.

Market Segment by Type:

Hardware

Software

Services

Market Segment by Application:

BFSI

Healthcare and Life Sciences

Retail

Telecommunication

Government and Defense

Manufacturing

Energy and Utilities

Others

The report strongly emphasizes prominent participants of the Artificial Intelligence and Machine Learning Industry to provide a valuable source of guidance and direction to companies, executive officials, and potential investors interested in this market. The study focuses on significant factors relevant to industry participants such as manufacturing technology, latest advancements, product description, manufacturing capacities, sources of raw material, and profound business strategies.

Order a copy of Global Artificial Intelligence and Machine Learning Market Report 2020 @https://www.orianresearch.com/checkout/1432622

Finally, the feasibility of new investment projects is assessed, and overall research conclusions are offered. In a word, the report provides major statistics on the state of the industry and is a valuable source of guidance and direction for companies and individuals interested in the market.

Global Artificial Intelligence and Machine Learning 2020 to 2026 includes:

Trends in Artificial Intelligence and Machine Learning deal making in the industry

Analysis of Artificial Intelligence and Machine Learning deal structure

Access to headline, upfront, milestone and royalty data

Access to hundreds of Artificial Intelligence and Machine Learning contract documents

Comprehensive access to Artificial Intelligence and Machine Learning records

TOC of Artificial Intelligence and Machine Learning Market Report Includes:

1 Artificial Intelligence and Machine Learning Market Overview

2 Company Profiles

3 Global Artificial Intelligence and Machine Learning Market Competition, by Players

4 Global Artificial Intelligence and Machine Learning Market Size by Regions

5 North America Artificial Intelligence and Machine Learning Revenue by Countries

6 Europe Artificial Intelligence and Machine Learning Revenue by Countries

7 Asia-Pacific Artificial Intelligence and Machine Learning Revenue by Countries

8 South America Artificial Intelligence and Machine Learning Revenue by Countries

9 Middle East and Africa Revenue Artificial Intelligence and Machine Learning by Countries

10 Global Artificial Intelligence and Machine Learning Market Segment by Type

11 Global Artificial Intelligence and Machine Learning Market Segment by Application

12 Global Artificial Intelligence and Machine Learning Market Size Forecast (2020-2026)

13 Research Findings and Conclusion

14 Appendix

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Open Source Projects: Why Security Still Matters – Dice Insights

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Open source has been an integral part of the enterprise for decades. With the advent of Agile development methodologies and DevOps practices, open source has never been more important to developers creating the apps that are driving digital transformation.

But where does that leave security?

For years, open source was considered a safe security bet and immune to many of the vulnerabilities associated with Windows and other closed-source software, largely due to the open nature of the community supporting it. That way of thinking, however, needs to change.

A report published in June by security firmRiskSensefound that vulnerabilities in open source software nearly doubled between 2018 and 2019, with nearly 1,000 projects posting year-over-year increases. Some of the biggest offenders include Magento, GitLab, and Jenkins.

The RiskSense reports that one reason for this increase in vulnerabilities is the growing acceptance of open source in many enterprise applications: Between 80 percent to 90 percent of software in use has some type of open-source component. This growing popularity means errors are slipping through the cracks and hackers are there to exploit them.

And while developers want to speed up application development, security is seen as cautious and risk-averse, which can cause frictions between developer and cybersecurity teams when trying to ensure that apps are ready for production and are free of potential vulnerabilities.

When you are focused on building and shipping software, there are benefits of using open source software, Wei Lien Dang, the co-founder and chief strategy officer at StackRox, which makes security tools for containers and Kubernetes, told Dice.

However, organizations need to be careful that they understand how to deal with vulnerabilities and licensing issues that could create exposures, Dang added. Software development practices, regardless of the methodology, that borrow from open source need to account for product security. Its not unique to DevOpsif you overlook the [open source software] patching process, you can easily put your organization at risk.

The non-profitInformation Security Forumrecently published a report on the growing use of open source software in the enterprise driven by the adoption of DevOps and Agile methodologies.

The study notes that, while open source software contains about the same amount of vulnerabilities as proprietary software, there are security issues to consider as well as unique challenges.

In some organizations OSS has been inadvertently included in the IT infrastructure, or the organisation lacks a complete view of all OSS components deployed across their environment, according to the ISF report. If this is the case, [open source software] components may have been implemented in an uncontrolled manner and potentially left in an insecure state, outdated, unpatched and prone to vulnerability exploits. Without adequate knowledge of where and how OSS is used, organisations risk allowing vulnerabilities into their infrastructure that they are unaware of, and therefore cannot proactively address.

One of the biggest security blunders associated with open source software happened in 2017, when Equifaxs IT and security teams did not respond to and patch a vulnerability in theApache Strutsopen-source web application framework, which Chinese hackers allegedly exploited in order to gain access to the companys network and exfiltrate data on over 145 million U.S. citizens. It was one of the largest data breaches in history.

Thomas Hatch, CTO and co-founder of automation security firm SaltStack, believes that many security and IT professionals are focused on protecting and securing high-level components and not checking to see what open source components are finding their way into enterprise applications. This leaves a security gap.

The duties of IT workers vary greatly from organization to organization, but a large number of organizations have very few IT resources that are focused on patching, Hatch told Dice. Modern IT professionals spend much more time managing high-level APIs and UIs. They need to deal with a large group of systems and services and are not as focused on the system and OSS management as they were 10 years ago. The ability to take massive amounts of free, untested, unvalidated, and not necessarily secured software off-the-shelf has created a liability deeply embedded in areas that make heavy use of open source software.

While open source is considered a way to reduce costs, there is still a price to pay to ensure the security of applications that use this code, Wang said.

This comes in the form of experience and/or training to ensure that OSS code is patched and secured, Wang said. This is one of the reasons why organizations go with commercial software or a cloud managed service. In those cases, its the responsibility of the software or cloud provider to make patches available. You get the added benefit of a level of outsourced support and upkeep.

For those organizations that want to use open source and still ensure the security of the applications, there are two core considerations to make: Having the right tooling in place to ensure protection and creating the right processes for patching.

You need to have a way of discovering vulnerabilities, license issues and other risks associated with using open source software, Wang said. The methodology, Agile, DevOps or otherwise, shouldnt make a difference. If you choose to use OSS, you need to understand the security risks and implications of doing so and be prepared to deal with it appropriately.

Hatch, the CTO at SaltStack, has three ways that security and development teams can ensure the integrity of their applications:

Apply Patches:If the Equifax data breaches proved one thing, its that patching matters. In that case, the fault did not lie with Apache Struts but with Equifax not responding to the associated vulnerability alert in a timely manner, Hatch said.

Visibility:There are more rules and processes in place today for open source projects, and the most mature of these projects follow best practices for security disclosures. When the security issues are disclosed, they are done in a way that users will be able to see exactly what the issues are and how to upgrade the software, Hatch said.

Know What You Have:As open source has proliferated, developers have more choices than ever, which means keeping a better inventory of what components are being used in applications and knowing what bugs can affect them. Open source allows us to have hundreds of thousands of software components to use; keeping track of them all is daunting, Hatch said.

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Open Source Projects: Why Security Still Matters - Dice Insights

Microsoft, Google, Red Hat and IBM join forces to improve the security of open source software – Explica

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The Open Source Security Foundation (OpenSSF) is a new organization founded by GitHub, Google, IBM, Microsoft, Intel, GitLab, HackerOne, and Red Hat, among others. Its goal is to unite initiatives to promote open source software security and accelerate collaboration between industries in one place.

At least thats how the official website of this new project within the Linux Foundation explains it, which has among its members some of the largest technology companies in the world, some that also leverage large-scale open source projects in their commercial productssuch as Microsoft (owner of GitHub), IBM (owner of Red Hat) and Google.

This foundation seeks to be a massive collaboration between software giants to improve response to vulnerabilities in open source software. In fact, Microsoft itself (recently a lover of open source) says it will move many of its resources to this initiative to help identify security threats, establish best practices, develop tools and improve the disclosure of vulnerabilities.

They hope that their vulnerability disclosure system will help developers fix problems with their open source software in minutes instead of months.

This last point is especially interesting given that at the OpenSSF they will collaborate with companies like Google, whose group of cybersecurity specialists (Project Zero) constantly collides with Microsoft for revealing vulnerabilities of the company before they have been able to fix them.

OpenSSF was established on the premise that there is a need for a mechanism for security researchers to collaborate in securing the open source supply chain, and that those researchers in different organizations have common interests and concerns. OpenSSF will seek to facilitate dialogues between these organizations.

Jim Zemlin, the CEO of the Linux Foundation explained it like this:

We believe that open source is a public good and in all industries we have a responsibility to unite to improve and support the security of open source software on which we all depend. Ensuring open source security is one of the most important things we can do and it requires everyone around the world to collaborate with the effort. OpenSSF will provide a forum for a truly collaborative effort across industries.

Other founding members of OpenSSF also include ElevenPaths, Okta, Purdue, SAFECode, StackHawk, Trail of Bits, JPMorgan Chase, NCC Group, OWASP Foundation, Uber, and VMware.

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