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Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. For the two weeks that the Hackneys' baby girl lay in a Pittsburgh hospital bed weak from dehydration, her parents rarely left her side, sometimes sleeping on the fold-out sofa in the room. They stayed with their daughter around the clock when she was moved to a rehab center to regain her strength. Finally, the 8-month-old stopped batting away her bottles and started putting on weight again. "She was doing well and we started to ask when can she go home," Lauren Hackney said.

To train deep learning models, which often outperform traditional approaches, large datasets of a specified medium, e.g., images, are used in numerous areas. However, for light field-specific machine learning tasks, there is a lack of such available datasets. Therefore, we create our own light field datasets, which have great potential for a variety of applications due to the abundance of information in light fields compared to singular images. Using the Unity and C# frameworks, we develop a novel approach for generating large, scalable, and reproducible light field datasets based on customizable hardware configurations to accelerate light field deep learning research.

They would also look to make available computing power to analyze the data, with the goal of allowing access to researchers across the country. "This is a moment that is calling us to be strengthening our speed and scale" when it comes to advances in AI technology, said National Science Foundation Director Sethuraman Panchanathan in an interview. "It is also calling us to make sure that innovation is everywhere." The task force, which Congress mandated in the National Artificial Intelligence Initiative Act of 2020, is part of an effort across the government to ensure the U.S. remains at the vanguard of technological advancements. The Senate this week approved a bipartisan bill to invest $250 billion in technology research and development, and the House is considering similar legislation.

NEW YORK CITY--Uber is looking to get into pharmacy medication delivery. Prescription eyeglass company Warby Parker is moving into virtual eye exams, and audio equipment maker Bose wants to help consumers get better sleep through hearing technology. Consumer-focused companies are rapidly moving further into healthcare, and industry incumbents need to be ready for accelerating change: That was one of the big takeaways from CB Insights' Future of Health conference in Manhattan this week. It's not just startups attacking entrenched interests in healthcare; it's large companies as well, said CB Insights CEO Anand Sanwal during the conference. "The field of play is changing pretty dramatically, and the competitive lines are constantly being redrawn," he said, noting Amazon's "unbundling" of the pharmacy, Apple's unbundling of the clinical trials process and Google's unbundling of the hospital.

The pressures facing healthcare delivery organizations are well documented: increased regulatory oversight, financial challenges, heightened competition, a shrinking talent pool, and many more. Also well known is the army of consultants, systems integrators and technology companies promising their solutions will address one or more of these market trends. All too often, implementation fails to deliver the promised results, leaving the healthcare organization with a big bill and little to show for it. What if there were new solutions, built on the powerful capabilities of artificial intelligence and machine learning (AI/ML) that provided proven, quantifiable cost savings of 30% or more, and consistent improvements in uptime for some of the most expensive equipment healthcare facilities operate? Harbor Research, a leading strategy and technology research firm, notes utilizing AI/ML to leverage complex machine data from healthcare imaging equipment alone will provide $11.1 billion in revenue value (decreased costs/increased revenue generation) by 2022.

Just days after a gunman shot and killed 17 people at Marjory Stoneman Douglas High School in Parkland Florida in February, Shreya Nallapati, a 17-year old high school senior from Highlands Ranch, Colorado, declared "a technological revolution against mass shootings, specifically in schools." Fed up with the lack of action being taken by government officials and leaders to end mass shootings, Nallapati decided to take what she knew best-- technology -- and apply it in a way that would make a lasting impact. "I was tired of people posting condolences on Facebook and then forgetting about the incident," Nallapati explains. "I want to use my knowledge of artificial intelligence to bring people together to solve a problem that is prevailing in society." Nallapati put a call out to her network of young women technologists, the Aspirations in Computing community, to join the effort.

It's a myth that Artificial Intelligence is just for large corporations. Robotics and automation are transforming the workplace for smaller businesses as the technology becomes ever cheaper and more accessible. There are many reasons to be optimistic about AI. An Accenture report suggests that it could bring an additional £814 billion to the UK economy by 2035, whist research firm Gartner reports that in 2020, AI will create 2.3 million jobs. General AI-based productivity tools are becoming more readily available and increasingly affordable – sometimes even free.

In the world of state and local government, emerging technologies are always a hot topic. Steve Towns and Joe Morris are two of our content and research experts and they have decided to cover these technologies and more in a recurring video series. The topics of discussion this week are blockchain and artificial intelligence. Think we're hearing a lot more talk about those. We just did some research around that.

With nearly 400 breeds spanning almost every corner of the planet, dogs have long followed man on his travels. In a bid to piece together the complex evolution of dogs, researchers have looked at the genetic sequences of 161 modern breeds. The resulting map unearths new evidence that dogs travelled with humans across the Bering land bridge 15,000 years ago, and will likely help researchers identify disease-causing genes in both dogs and humans. In a bid to piece together the complex evolution of dogs, researchers have looked at the genetic sequences of 161 modern breeds. Researchers from the National Institutes of Health (NIH) in Maryland say their findings highlight how the oldest dog breeds evolved, or were bred to fill certain roles.