Fox News correspondent Gillian Turner has the latest on the president's focus amid calls for an impeachment inquiry on "Special Report." A new study found that artificial intelligence could be used to help detect risk signs and possibly even prevent sudden cardiac death. "When the data is fulsome and accurate and has a large enough sample size, AI will be able to identify patterns and correlations that humans might struggle to see, especially when they require two or more factors or have seemingly contrarian conclusions," Phil Siegel, the founder of the Center for Advanced Preparedness and Threat Response Simulation, told Fox News Digital. Siegel's comments come after the results of preliminary research by the American Health Association found that AI was able to identify people who were at more than a 90% risk of sudden death, according to a report on the study in Medical Xpress. WHAT IS ARTIFICIAL INTELLIGENCE (AI)?

Individuals involved in gang-related activity use mainstream social media including Facebook and Twitter to express taunts and threats as well as grief and memorializing. However, identifying the impact of gang-related activity in order to serve community member needs through social media sources has a unique set of challenges. This includes the difficulty of ethically identifying training data of individuals impacted by gang activity and the need to account for a non-standard language style commonly used in the tweets from these individuals. Our study provides evidence of methods where natural language processing tools can be helpful in efficiently identifying individuals who may be in need of community care resources such as counselors, conflict mediators, or academic/professional training programs. We demonstrate that our binary logistic classifier outperforms baseline standards in identifying individuals impacted by gang-related violence using a sample of gang-related tweets associated with Chicago. We ultimately found that the language of a tweet is highly relevant and that uses of ``big data'' methods or machine learning models need to better understand how language impacts the model's performance and how it discriminates among populations.

Fox News correspondent Douglas Kennedy has the details on software that could'transform society' on'America's Newsroom.' The use of facial recognition technology, a form of biometric artificial intelligence, is growing across the U.S. as an efficient security system that can identify people based on measuring facial features, but has been hit with some notable criticisms. Police departments, the health care industry, and companies looking to fight back against cyber fraud have rolled out the technology in recent years to bolster security measures. The tech is far from new, with its roots stretching back to the mid-1960s, when researchers in Palo Alto pioneered training computers to recognize faces, and has exploded in use since around 2010. Today, machine learning algorithms - a subset of artificial intelligence that uses data and algorithms to mimic how humans learn - has fine-tuned the technology. The tech can measure and identify facial measurements in a photo or video, and cross-analyze whether two photos or videos show the same person, or even pick a person out in a crowd of people, Amazon Web Services explains.

The NHS is to use artificial intelligence to detect, screen and treat people at risk of hepatitis C under plans to eradicate the disease by 2030. Hepatitis C often does not have any noticeable symptoms until the liver has been severely damaged, which means thousands of people are living with the infection – known as the silent killer – without realising it. Left untreated, it can cause life-threatening damage to the liver over years. But with modern treatments now available, it is possible to cure the infection. Now health chiefs are launching a hi-tech screening programme in England in a fresh drive to identify thousands of people unaware they have the virus.

Machine learning (ML) is how a system learns and adapts its processes from the patterns found in large amounts of data. When we think of machine learning, some prominent examples come to mind. For instance, the way product recommendations on Amazon are eerily similar to Google searches you've done. The scope of machine learning extends far beyond what we know of and see in our daily lives. Since machine learning is a relatively new field, the limits of its application are constantly pushed outward.

Facebook Tuesday said it would stop using facial recognition technology to identify people in photos and videos and delete accompanying data on more than 1 billion people. The news marks the end of one of the largest known facial recognition systems. Outside of face unlock for smartphones and applications in airports, Facebook's auto tag is perhaps the most common form of facial recognition technology that people encounter. In a blog post, Facebook VP of artificial intelligence Jerome Pesenti said the decision reflected a "need to weigh the positive use cases for facial recognition against growing societal concerns." Facebook has used a facial recognition system to automatically detect people in photos, videos, and Memories since 2010, drawing criticism from privacy advocates and hundreds and millions of dollars in fines from government regulators.

Urgent action is needed as it can take time to assess and address the serious risks this technology poses to human rights, warned the High Commissioner: "The higher the risk for human rights, the stricter the legal requirements for the use of AI technology should be". Ms. Bachelet also called for AI applications that cannot be used in compliance with international human rights law, to be banned. "Artificial intelligence can be a force for good, helping societies overcome some of the great challenges of our times. But AI technologies can have negative, even catastrophic, effects if they are used without sufficient regard to how they affect people's human rights". On Tuesday, the UN rights chief expressed concern about the "unprecedented level of surveillance across the globe by state and private actors", which she insisted was "incompatible" with human rights.

The NHS has introduced a revolutionary new app to help diagnose Alzheimer's Disease. It takes only five minutes to complete and is more accurate than established pen-and-paper tests. The test is currently done on iPads at a general practice or hospital ward but it could soon be conducted at home on a smart phone – paving the way for the nation's first widespread screening programme for Alzheimer's and other forms of dementia within the next few years. It is hoped it will identify people at high-risk of developing the disease up to 15 years before symptoms appear, so that steps can be taken to slow its progression. The test uses artificial intelligence to assess a person's brain function by showing them large numbers of black and white photographs and asking them to identify which ones contain an animal.

An artificial intelligence-based analysis of epigenetic patterns in blood samples might be able to identify people with Alzheimer's disease, a new study has found. Alzheimer's disease affects nearly 47 million people around the world but can be difficult to diagnose, particularly in its early stages when therapeutic interventions might have the greatest effect. "Drugs used in the late stage of the disease do not seem make much difference, so there is a tremendous amount of interest in diagnosis in the early stages of the disease," Khaled Imam, director of geriatric medicine at Beaumont Health and a co-author of the new study, said in a statement. Imam added that "blood is thought to be a desirable way of approaching this. And it would be relatively cheap and minimally invasive as compared to an MRI or spinal tap."

Civil liberties activists are suing a company that provides facial recognition services to law enforcement agencies and private companies around the world, contending that Clearview AI illegally stockpiled data on 3 billion people without their knowledge or permission. The lawsuit, filed in Alameda County Superior Court in the San Francisco bay area, says the New York company violates California's constitution and seeks a court order to bar it from collecting biometric information in California and requiring it to delete data on Californians. The lawsuit says the company has built "the most dangerous" facial recognition database in the nation, has fielded requests from more than 2,000 law enforcement agencies and private companies and has amassed a database nearly seven times larger than the FBI's. Separately, the Chicago Police Department stopped using the New York company's software last year after Clearview AI was sued in Cook County by the American Civil Liberties Union. The California lawsuit was filed by four activists and the groups Mijente and Norcal Resist.