Artificial intelligence pioneers fund next generation of researchers – University of Sydney

Professor Gemma Figtree

"We have long known that smoking, high cholesterol, diabetes and hypertension are risk factors for heart disease, but many people develop a silent build-up of plaque in their arteries and suffer subsequent heart attack without any of these risk factors," Professor Figtree said.

As part of the project, Professor Figtree and her team will apply complex algorithms to clinical and state-of-the-art 'omic' data to unravel novel biomarkers of heart disease in its early phases.

"As part of our study, we will analyse blood samples of individuals who have advanced imaging of their coronary arteries and characterisation of their coronary plaque burden. We will use advanced technology platforms to measure hundreds of thousands of small molecules in the blood, including, RNA, protein and metabolites, as well as genomic variations. With the help of machine learning, we will then be able to train our systems to discover novel signatures of coronary plaque."

"This will allow us to develop new methods for early diagnosis. Our vision is for a simple blood test that your GP could order on a regular basis to detect the earliest phases of coronary heart disease, many years before a heart attack. If positive, your GP could prescribe life-saving drugs that stabilise the plaque, and prevent plaque progression and heart attack."

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Artificial intelligence pioneers fund next generation of researchers - University of Sydney

Artificial Intelligence (AI) and the Risk of Bias in Recruitment Decisions – Lexology

As part of the UK data protection authoritys new three-year strategy (ICO25), launched on 14 July, UK Information Commissioner John Edwards announced an investigation into the use of AI systems in recruitment. The investigation will have a particular focus on the potential for bias and discrimination stemming from the algorithms and training data underpinning AI systems used to sift recruitment applications. A key concern is that training data could be negatively impacting the employment opportunities of those from diverse backgrounds.

Bias is a particular risk in AI or machine learning systems designed not to solve a problem by following a set of rules, but instead to learn from examples of what the solution looks like. If the data sets used to provide those examples have bias built in, then an AI system is likely to replicate and amplify that bias. For example, if successful candidates reflected in the training data share certain characteristics (such as gender, demographic profile or educational profile) then there is a risk of excluding candidates whose profiles do not match those criteria.

The ICO also plans to issue refreshed guidance for AI developers on ensuring that algorithms treat people and their information fairly. However, even where algorithms and training data reflect ethical guidance, it will remain best practice to retain meaningful human involvement in decision-making. In effect, AI systems should produce recommendations for human review, rather than decisions. Under EU and UK GDPR Article 22, decisions based solely on automated processing, including profiling, which produce legal effects concerning him or her or similarly significantly affects the data subject are restricted unless they are:

The making or withholding of employment offers would clearly constitute legal or similarly significant effects.

Where special category personal data is involved, decisions based solely on automated processing are permissible only:

In addition, because decisions based solely on automated processing are considered to be high risk, UK GDPR requires a Data Protection Impact Assessment (DPIA), showing that risks have been identified and assessed, and how they are addressed. From there, compliance obligations include:

The ICOs indication that investigating AI in the context of recruitment will be one of its priorities over the next three years is significant. AI and machine learning tools are an increasingly valuable resource, but they come with compliance obligations that are likely to come under intense scrutiny as an area of particular interest to the ICO as the UKs data protection authority. To learn more, or to discuss the practicalities of compliance, please contact the authors.

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Artificial Intelligence (AI) and the Risk of Bias in Recruitment Decisions - Lexology

Hyfe Joins Forces with Merck to Deploy Its Artificial Intelligence-Powered Cough Detection and Counting Technology – Business Wire

NEW YORK--(BUSINESS WIRE)--Hyfe, Inc., the global leader in AI-powered cough detection, tracking and classification, has entered into an agreement with Merck, known as MSD outside the United States and Canada, to integrate its artificial intelligence-powered (AI) cough tracker technology into Mercks consumer disease educational efforts..

Hyfes AI-powered technology passively and remotely monitors the number of times a person coughs and the sound of the cough through any smart device, such as a mobile phone. This data collected over time provides the user with helpful information by revealing patterns and potential triggers like seasonal allergies that may be causing the cough that would otherwise go unnoticed or unaddressed.

The overwhelming majority of people cannot even come close to accurately estimating the number of times they cough per day, said Peter Small, M.D., chief medical officer of Hyfe, Inc. In order to help diagnose and treat patients, cough frequency and sound should be monitored and measured with the same accuracy as blood pressure, temperature, heartbeat and other biomarkers that are essential for assessing health and medical conditions.

Users of the app will be able to determine when and how long to track their coughing. The AI-powered technology records cough-related sounds and allows the user to compare the frequency and quality of their coughs against their own benchmark. This personalized approach provides users with more detailed information and confidential data about their individual situations to share with their health care providers.

Hyfe, Inc. is the global leader in AI-powered cough detection and classification that provides insight into cough patterns and correlations that can greatly improve treatment and prevention. With more than 280 million samples, Hyfe maintains the largest cough dataset in the world enabling the building of powerful models to track, manage and diagnose respiratory illnesses. Hyfe provides platforms and data for pharmaceutical companies, medical researchers, government agencies, health care providers and patients and has partnerships with leading academic institutions including Johns Hopkins University and the University of California at San Francisco. The company was founded in 2020 and is headquartered in Wilmington, Delaware. More information is available at Hyfe.ai, on social media @hyfeapp and LinkedIn at /hyfe.

Note to media: Digital assets for this story are available at hyfe.PressRep.net.

1 EO Meltzer, RS Zeiger, P Dicpinigaitis, et al. Prevalence and burden of chronic cough in the United States J Allergy Clin Immunol Pract, 9 (2021), pp. 4037-4044e2

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Hyfe Joins Forces with Merck to Deploy Its Artificial Intelligence-Powered Cough Detection and Counting Technology - Business Wire

US Metaverse In Healthcare Market Size By Technology (Artificial Intelligence, Virtual Reality, Augmented Reality, Mixed Reality) Forecast by 2028 …

Metaverse In Healthcare Market Scope

A new report titled Global Metaverse In Healthcare Market Professional Report 2022-2028 has been added to our repository of research reports. The report analyzes and estimates the Metaverse In Healthcare market on global, regional, and country levels. The report offers data from previous years and an in-depth analysis based on the revenue.

The Global Metaverse in Healthcare Market is valued at USD 5056.4 Million in 2021 and is expected to reach USD 7453.6 Million by 2028 with a CAGR of 33.7% over the forecast period.

While studying the global market for Metaverse In Healthcare, the report also thoroughly analyzes the driving factors, development trends, restraints, challenges, and lucrative challenges to showcase the current and future market scenario. We provided a comprehensive report that consists of the key market strategies based on the latest technologies, applications, and different geographies around the world. The market is expected to show significant growth over the forecast period due to the increasing demand for Metaverse In Healthcare Industry.

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Some of the key players for global Metaverse in Healthcare are Intutive Surgical Inc., CableLabs, AccuVein, Microsoft, Immersive Touch Inc., Koninklijke Philips NV, Google LLC, Medical Realities Ltd., Meta Platforms Inc., MindMaze SA, Chill Inc., Global Healthcare Academy, Aimedis B.V. & Aimedis Information Technology LLC and others.

These key players have adopted organic and inorganic growth strategies, including new product launches and developments, joint ventures, partnerships, research and development (R&D) activities, agreements, contracts, collaborations, and mergers & acquisitions (M&A) to strengthen their position in the market.

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This report forecasts revenue growth at the global, regional, and local levels. It analyzes the most recent industry trends from 2022 to 2028 in each of the segments and sub-segments. Some of the major geographies included in the market are given below:

Table of Contents: Global Metaverse In Healthcare Market Research Report

Chapter 1: Global Metaverse In Healthcare Market Overview

Chapter 2: Economic Impact of Global Metaverse In Healthcare Market

Chapter 3: Global Market Size Competition by Industrial Producers

Chapter 4: Global Production, Revenue (Value) by Regions

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Chapter 6: Global Production, Revenue (Value), Price Trend, Product Type

Chapter 7: Global Market Analysis Based on Application

Chapter 8: Metaverse In Healthcare Market Industry Value Chain

Chapter 9: Type A Metaverse In Healthcare Market Chain, Sourcing Strategies and Downstream Buyers

Chapter 10: Strategies and Key Policies by Distributor/Supplier/Trader

Chapter 11: Key Economic Indicators by Market Vendor

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Chapter 13: Global Metaverse In Healthcare Market Forecast Period

Chapter 14: The Future of Markets

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Meme Creators Want Instagram To Change Its Content Moderation Policies And Stop Deplatforming Them – BuzzFeed News

Instarrection's co-organizer Anjelica, a 32-year-old from Connecticut, told BuzzFeed News in a call that she and Ana bonded over the struggle to remain on the platform. She has created 10 different accounts over the years, but is best known as @hornymermaid, where she posts selfies and absurdist memes for her 20,000 followers.

In 2021, she shared a clothed selfie with the caption link in bio where there were links to her other social media profiles and her OnlyFans page. She said Instagram removed her account for sexual solicitation. Her followers then began encouraging her to leave Instagram for Twitter and Reddit, where nudity guidelines are less strict.

I dont even post nudity. I have an OnlyFans and I post memes because thats how I want to run my business, she said. I think people see the memes and gravitate toward my personality, and eventually check out my other link because they think Im funny. That attraction is part of why Im so successful, and I have to be able to do both.

Anjelica regained access to the account after having a meeting with Instagram in early July. She said that was a nice starting point but her goal is to have constant dialogue with the platform.

Revealing your face as a woman online will get you so much hate. Angry incels will mass report all our stuff, then it gets taken down or suppressed by the algorithm, Anjelica said. Why is it so hard for marginalized voices and women to express themselves? Were not hurting anybody.

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Meme Creators Want Instagram To Change Its Content Moderation Policies And Stop Deplatforming Them - BuzzFeed News

Dozens of States Are Jumping on the Social Media Censorship Bandwagon – Gizmodo

Photo: Chip Somodevilla (Getty Images)

2022 may be remembered as a turning point for social media regulation, or maybe more aptly, failed social media regulation. Though Texas and Florida managed to dominate headlines recently for their constitutionally questionable deplatforming laws, theyre far from the only states trying to get creative with managing content on social media platforms.

A recent Politico analysis found 34 states, many conservative-leaning but not all, have proposed bills or passed laws vying to influence the way social media companies handle their users content. In conservative-led states, the dominating trend here follows the Texas and Florida mold. States ranging from Ohio to Mississippi are trying to write laws that would prohibit companies from removing or moderating users content based on their political viewpoint. A handful of these states are trying to make those laws a reality by attempting to designate large social media firms as common carriers, a designation that would have them look and feel more like telecoms.

On the other hand, legislators in Democratically led states like New York and California are attempting to forward legislation that would encourage social media companies to take a heavier-handed approach to moderating certain types of content deemed harmful. Though the implications arent equivalent in effect, both strategies have drawn the attention of tech industry groups like NetChoice and first amendment scholars who say the bills could diverge fundamentally from precedents around how tech companies operate. Some of these proposals, experts say, are almost certainly violations of the first amendment.

Here are a few of the states with proposals attempting to shake up social media.

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Dozens of States Are Jumping on the Social Media Censorship Bandwagon - Gizmodo

Alexs War: A film about the de-platformed conspiracy theorist hits iTunes July 29 – BGR

For far-right figures whove been de-platformed everywhere else, Apples ecosystem is increasingly one of the last places left online where their popularity is nonetheless surging. Case in point: Alexs War, a film about Alex Jones from documentarian Alex Lee Moyer, which has surged on the iTunes pre-order chart ahead of its release later this month, on July 29.

The film promises an examination of the rollercoaster career of Americas most infamous, charismatic, and divisive public figure. Jones, of course, has been de-platformed from just about every major, mainstream internet service. Hes persona non grata among the establishment media. And yet, theres Alexs War on the iTunes top pre-orders chart. Listed just behind Top Gun: Maverick, Elvis, and Where the Crawdads Sing.

Making the popularity of Alexs War all the more extraordinary? It seems to largely be word-of-mouth driving that preorder interest. Moyer, for example, has reportedly said Google wouldnt let the films team buy ads to promote it. Likewise, other major platforms like Facebook and TikTok are clamping down on publicity for the movie, which contains content that Facebook has said contains violations of its community guidelines.

Who is Alex Jones? reads the synopsis for Alexs War on iTunes. Looking past caricature and propaganda to a searching and human character study, Alexs War draws on twenty-five years of Infowars archives, unprecedented personal interviews, and months of backstage access, to examine the shattering of our shared national narrative through the rollercoaster career of one of Americas most infamous, charismatic and divisive public figures.

Divisive, indeed. Jones, to say the least, has a long history of making inflammatory statements and spreading conspiracy theories. Among other things, families of the Sandy Hook school shooting victims sued him after he made suggestions that the tragedy was staged. In an April deposition, Jones defiantly cited free speech as a defense.

If questioning public events and free speech is banned because it might hurt somebodys feelings, we are not in America anymore, Jones said, according to The Associated Press. They can change the channel.

Jones continued: They can come out and say Im wrong. They have free speech.

Along these same lines, former Trump aide Steve Bannon got his own ban from services like Twitter and YouTube. Yet his War Room podcast consistently ranks as one of the top shows on Apples podcasts chart. It was a comment during the War Room podcast, in fact, that resulted in the Bannon ban. Back in 2020, Twitter permanently suspended him after a flippant comment about beheading Dr. Anthony Fauci.

As for Jones, Moyer was present at the US Capitol on January 6, 2021, to shoot footage for Alexs War. She was one of a small handful of documentarians there that day.

Jones own de-platforming, meanwhile, came swiftly in 2018. Google and Facebook both started deleting content associated with Jones and his website Infowars. Apple followed suit, pulling multiple podcasts associated with Jones.

In a statement at the time to TechCrunch, Apple said its actions were in response to hate speech found in Jones content. We believe in representing a wide range of views, so long as people are respectful to those with differing opinions, the Apple spokesperson said.

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Alexs War: A film about the de-platformed conspiracy theorist hits iTunes July 29 - BGR

3 signs Bitcoin price is forming a potential macro bottom – Cointelegraph

Bitcoin (BTC) could be in the process of bottoming after gaining 25%, based on several market signals.

BTC's price has rallied roughly25% after dropping to around $17,500 on June 18. The upside retrace came after a 75% correction when measured from its November 2021 high of $69,000.

The recovery seems modest, however, and carries bearish continuation risks due to prevailing macroeconomic headwinds (rate hike, inflation, etc.) and the collapse of many high-profile crypto firms such asThree Arrows Capital, Terra and others.

But some widely tracked indicators paint a different scenario, suggesting that Bitcoin's downside prospects from current price levels are minimal.

The first sign of Bitcoin's macro bottom comes from its weekly relative strength index (RSI).

Notably, BTC's weekly RSI became oversold after dropping below 30 in the week of June 13. This is the first time the RSI has slipped into the oversold region since December 2018. Interestingly, Bitcoin had ended its bear market rally in tha same month and rallied over 340% in the next six months to $14,000.

In another instance, Bitcoin's weekly RSI dropped toward 30 (if not below) in the week beginning March 9, 2020. That also coincided with BTC's price bottoming below $4,000 and thereafter rallying to $69,000 by November 2021, as shown below.

Bitcoin price has rebounded similarly since June 18, opening the door to potentially repeat its history of parabolic rallies after an "oversold" RSI signal.

Another sign of a potential Bitcoin macro bottom comes from its net unrealized profit and loss (NUPL) indicator.

NUPLis the difference between market cap and realized cap divided by market cap. It is represented as a ratio, wherein a reading above zero means investors are in profit. The higher the number, the more investors are in profit.

Related:Bitcoin must close above $21.9K to avoid fresh BTC price crash trader

On July 21, theBitcoin NUPL climbed above zero when the price wobbled around $22,000. Historically, such a flip has followed up with major BTC price rallies. The chart below illustrates the same.

The third sign of Bitcoin forming a macro bottom comes from another on-chain indicator called the Puell Multiple.

The Puell Multiple examines mining profitability and its impact on market prices. The indicator does it bymeasuring a ratio of daily coin issuance (in USD) and the 365-day moving average of daily coin issuance (in USD).

A strong Puell Multiple reading shows that mining profitability is high compared to the yearly average, suggesting miners would liquidate their Bitcoin treasury to maximize revenue. As a result, a higher Puell Multiple is known for coinciding with macro tops.

Conversely, a lower Puell Multiple reading means theminers' current profitability is below the yearly average.

Thus, rigs with break-even or below-zero revenue from mining Bitcoin will risk shutting down, giving up market share to more competitive miners. The ousting of weaker miners from the Bitcoin network has historically reduced selling pressure.

Interestingly, the Puelle Multiple reading as of July 25 is in the green box and similar to levels observed during the March 2020 crash, as well as 2018 and 2015 price bottoms.

The views and opinions expressed here are solely those of the author and do not necessarily reflect the views of Cointelegraph.com. Every investment and trading move involves risk, you should conduct your own research when making a decision.

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3 signs Bitcoin price is forming a potential macro bottom - Cointelegraph

Here’s How long it takes to mine a single Bitcoin – Watcher Guru

Bitcoin [BTC] mining emerged as a controversial yet profitable industry. The mining rewards that came with the process lured an array of individuals and entities into the market. However, the immense backlash toward the mining community has driven away several members of the industry. Chinese miners however remain unfazed by the ban on crypto and continued underground mining. The hype around mining is real. But have you ever wondered how long it takes to mine one Bitcoin?

Bitcoin has come a long way from being associated with the dark web to emerging as a legal asset. The worlds first cryptocurrency wasnt always like this. Back in the day, a mere PC carried out the mining process. However now, extensive power and equipment are required to mine the king coin.

Firstly, it should be noted that BTC is mined in blocks. Right after a miner solves a complex mathematical equation called the hash, and validates new blocks, he/she receives the reward. After mining each block the miner gets a reward of 6.25 Bitcoin. It should be noted that the reward value was slashed in half and was earlier 12.5 BTC.

It should be noted that mining speed can be influenced by an array of things. However, the ideal time required to mine a Bitcoin block is around 10 minutes.

An array of miners come forward to compete against each other. Whoever manages to finish the equation swiftly will end up with the reward. In addition to this, other factors like computational power and the hardware that has been employed also play a role in determining the speed at which BTC is mined.

While 10 minutes doesnt seem like a long time, this could surge if an individual is mining solo.

Mining Bitcoin without mining pools can be rather complicated, expensive, and time-consuming. Therefore, mining BTC through mining pools is considered a better option.

A mining pool is a group that entails multiple miners who work together and combine their computational resources over a network. With this, the chances of them mining a block are higher. Once a pool manages to acquire the reward, it is split between the individuals contributing to the process.

Miners will most likely be required to show proof of work in order to claim their rightful reward.

Mining difficulty plays a major role in the speed of mining as well. Times when mining difficulty is at its peak, the network is stronger than ever as an array of miners come to compete with each other. However, currently, this was down.

It was revealed that mining difficulty took a major hit in July 2021.

#Bitcoin saw a mining difficulty adjustment at block height of 745,920, with a 5.01% decrease to 27.69 T. It's the largest drop in a year, and the first time in a year that there have been three consecutive mining difficulty decreases. #bitcoinmining pic.twitter.com/BiGd6x5qrZ

This sudden drop can be directed toward the bearish Bitcoin market. The fact that miners wouldnt be garnering much value through the mining reward, could have stopped them from carrying out the process.

At press time, BTC had witnessed some recovery as it was trading at $23,517. Any potential surge is likely to lure miners back into the industry.

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Here's How long it takes to mine a single Bitcoin - Watcher Guru

Stats Show Over 53000 Wrapped Bitcoins Were Removed From Circulation in the Last 3 Months Market Updates Bitcoin News – Bitcoin News

Three months ago, there were 441,546 wrapped or synthetic bitcoins on the Ethereum and Binance Smart Chain worth $17.45 billion using exchange rates on April 24, 2022. Since then, that number has dropped by 53,582 synthetic bitcoins and today the number of wrapped or bonded bitcoins is approximately 387,964 worth $8.81 billion in value.

In the last few years the use of wrapped, bonded or synthetic bitcoins has increased a great deal and earlier this year there were close to half a million synthetic bitcoins held on the Binance Smart Chain (BSC) and Ethereum (ETH) blockchains.

A great majority of these types of tokens stem from the Wrapped Bitcoin (WBTC) project as the ERC20s market cap is the 18th largest among 13,373 crypto assets. At press time, WBTC has a circulating supply of around 236,882 wrapped bitcoins with a valuation of around $5.38 billion today.

However, WBTCs circulating supply has decreased a great deal over the last three months as there was 280,505 WBTC in existence on April 23, 2022, according to Dune Analytics statistics. At the time, BTC was trading for $39K per unit and the WBTC market cap was valued at $10.93 billion.

WBTC is issued on Ethereum and at the time, the BSC BEP2 token otherwise known as BTCB had a circulating supply of around 105,172, and today the supply hasnt changed much as theres 105,175 BTCB in circulation. Three months ago the stash of BTCB was worth $4.10 billion and today its worth $2.39 billion.

While 53,582 synthetic bitcoins have been erased from aggregate of Ethereum-based tokens and most of the reduction stemmed from WBTC. Although, Dune Analytics metrics indicate that HBTC, and RENBTC saw declines during the last 90 days.

HBTC saw a high of 39,870 on May 15, 2022, and today, the number of HBTC in circulation is 38,970. Currently, the aggregate number of synthetic or wrapped bitcoins on both BSC and ETH represents around 1.847% of BTCs 21 million supply cap. The number of synthetic or wrapped bitcoins on Ethereum alone equates to 1.344%, which means the current supply of BTCB in existence represents 0.503% of BTCs capped supply.

What do you think about the number of wrapped or synthetic bitcoins declining during the last three months? Let us know what you think about this subject in the comments section below.

Jamie Redman is the News Lead at Bitcoin.com News and a financial tech journalist living in Florida. Redman has been an active member of the cryptocurrency community since 2011. He has a passion for Bitcoin, open-source code, and decentralized applications. Since September 2015, Redman has written more than 5,700 articles for Bitcoin.com News about the disruptive protocols emerging today.

Image Credits: Shutterstock, Pixabay, Wiki Commons, Coinmarketcap.com, Dune Analytics,

Disclaimer: This article is for informational purposes only. It is not a direct offer or solicitation of an offer to buy or sell, or a recommendation or endorsement of any products, services, or companies. Bitcoin.com does not provide investment, tax, legal, or accounting advice. Neither the company nor the author is responsible, directly or indirectly, for any damage or loss caused or alleged to be caused by or in connection with the use of or reliance on any content, goods or services mentioned in this article.

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Stats Show Over 53000 Wrapped Bitcoins Were Removed From Circulation in the Last 3 Months Market Updates Bitcoin News - Bitcoin News