When the topics of Microsoft and global health overlap, one tends to think about the Gates Foundation, but the company itself is doing good work along these lines as well. The latest such effort is AI for Health, a $40 million, five-year outgrowth of Microsoft's AI for Good program that aims to help apply the benefits of AI with an eye to bettering the health of the less fortunate worldwide. The new initiative will focus on direct research in the medical AI field (think algorithms for automatically detecting a disease), global health studies (that is, better understanding of how such things could be of use) and improving access (actually putting the algorithms to work). "AI for Health is a philanthropic initiative that complements our broader work in Microsoft Healthcare," wrote Microsoft's John Kahan in a blog post announcing the new program. "We will support specific nonprofits and academic collaboration with Microsoft's leading data scientists, access to best-in-class AI tools and cloud computing, and select cash grants."

Facebook has settled a lawsuit over facial recognition technology, agreeing to pay $550m (£419m) over accusations it had broken an Illinois state law regulating the use of biometric details. The settlement was quietly disclosed in the company's quarterly results, released on Wednesday evening, which showed record revenues overall at the company, but also surging costs. It is one of the largest payouts for a privacy breach in US history, a marker of the strength of Illinois's nation-leading privacy laws. The New York Times, which first reported the settlement, noted that the sum "dwarfed" the $380m penalty the credit bureau Equifax agreed to pay over a much larger customer data breach in 2017. Illinois heavily regulates the use of biometric identifiers, prohibiting the collection and storing of biometric information without consent from individuals. The law, passed in 2008, also requires companies to store the identifiers securely, and to delete them in a timely manner.

Alzheimer's is one of the growing diseases that cause death in the United States. More than 5.8 million Americans currently have the disease. By 2050, nearly 14 million people in the United States over the age of 65 could be living with the disease unless scientists develop new approaches to prevent or cure it. The limited inclusion of Latinos and African Americans in research will only worsen the outlook, although successful efforts across the country could help us keep up with the disease. The face of Alzheimer's disease is changing, mainly because the number one risk factor is old age.

Google CEO Sundar Pichai and other executives working on artificial intelligence are now calling for limited government regulation as the European Union mulls potential five-year bans of facial recognition software. Pichai called for governments to take a bigger role in regulating the use of artificial intelligence (AI), and he published his beliefs in a Financial Times editorial while speaking out on the topic in speeches around the world. This is in stark opposition to comments he made in an interview with the Financial Times in September that called for caution with any potential government intrusion of how tech companies deploy AI. "There are real concerns about the potential negative consequences of AI, from deepfakes to nefarious uses of facial recognition. While there is already some work being done to address these concerns, there will inevitably be more challenges ahead that no one company or industry can solve alone," Pichai wrote in The Financial Times. "The EU and the US are already starting to develop regulatory proposals. International alignment will be critical to making global standards work. To get there, we need agreement on core values. Companies such as ours cannot just build promising new technology and let market forces decide how it will be used. It is equally incumbent on us to make sure that technology is harnessed for good and available to everyone," he said in the editorial.

Take a look at how people can build software to handle low-level tasks and massive calculations and what it means for both machine and human workloads. Social media can send up an early warning sign of illness, and data analysis can predict how it will spread. Social media can make or break food trends, says Signals Analytics Trends change faster than ever and within minutes or hours, something can go viral. Data privacy is an increasing concern for companies and individuals. Jan. 28 was Data Privacy Day, … Google CEO Sundar Pichai and other AI researchers say limited regulation is needed to protect people from irresponsible use cases.

Trends change faster than ever and within minutes or hours, something can go viral. This is especially true for the food and consumer goods industries, where social media popularity can realistically translate into higher sales or controversy, as seen late last year with Popeyes Chicken Sandwich and a Peloton bike advertisement. Signals Analytics, an AI-powered platform, helps companies in the food and pharmaceutical industries identify trends and capitalize on troves of previously untapped data streams. Frances Zelazny, Signals Analytics chief marketing officer and head of strategy spoke to TechRepublic about the food trends in 2020 and what people may be eating in six months based on their research. "We are focused on external data, so you should think about social media posts, product reviews, commentary on news websites, patent filings, research papers, conference agendas and other data sources. Think about what it would be like if you could have access to all that data and could use that data in order to make decisions. Most companies use two or three external data sources," Zelazny said.

The global artificial intelligence market size is expected to reach $169,411.8 million in 2025, from $4,065.0 million in 2016 growing at a CAGR of 55.6% from 2018 to 2025. Artificial intelligence has been one of the fastest-growing technologies in recent years. AI is associated to human intelligence with similar characteristics such as language understanding, reasoning, learning, problem solving, and others. AI is positioned at the core of the next gen software technologies in the market. The report focuses on the growth prospects, restraints, and artificial intelligence market trends. The rise in number of innovative start-ups and advancements in technology have led to increase in investment in artificial intelligence technologies.

San Francisco native Doug Perez on turning down a flight offered by the U.S. State Department to stay with his Chinese girlfriend. What's it like to be stuck in ground zero for the deadly coronavirus outbreak in China? Doug Perez, an American living in the quarantined city of Wuhan, described his experiences on Thursday's edition of the "Fox News Rundown" podcast. He said he barely leaves the house, except to walk his dog. "Whenever we leave [the home], we bring the dog," said Perez, who lives with his girlfriend and their labrador, Chubby.

Over the last few years, AWS has invested heavily in making it easier for developers and engineers to create and deploy AI models, Minnick said, speaking with TechTarget at the AWS re:Invent 2019 user conference in Las Vegas in December 2019. AWS' efforts to simplify the machine leaning lifecycle were on full display at re:Invent. During the opening keynote, led by AWS CEO Andy Jassy, AWS revealed new products and updates for Amazon SageMaker, AWS' full-service suite of machine learning development, deployment and governance products. Those products and updates included new and enhanced tools for creating and managing notebooks, automatically making machine learning models, debugging models and monitoring models. SageMaker Autopilot, a new AutoML product, in particular, presents an accessible way for users who are new to machine learning to create and deploy models, according to Minnick.

The healthcare sector has been exploring applications of 3D printing for decades, but the cost and complexity of scaling the technology has stunted its path to mass adoption. Axial3D is hoping to overcome these barriers by incorporating machine learning into the process. The Belfast-based startup has developed a system that uses computer vision algorithms to automatically label CT and MRI scans and then converts the images into 3D-printed models of an individual patient's anatomy. Using machine learning to produce the models helps cut the time to create and deliver the 3D-printed files from up to eight weeks down to 24-48 hours, the startup claims. "The challenge is really to identify the anatomy within an MRI or CT scan," Axial3D CTO Niall Haslan tells Techworld.