A group of researchers is using artificial intelligence techniques to calibrate some of NASA's images of the Sun, helping improve the data that scientists use for solar research. A solar telescope has a tough job. Staring at the Sun takes a harsh toll, with a constant bombardment by a never-ending stream of solar particles and intense sunlight. Over time, the sensitive lenses and sensors of solar telescopes begin to degrade. To ensure the data such instruments send back is still accurate, scientists recalibrate periodically to make sure they understand just how the instrument is changing.

Artificial intelligence (AI) is at an inflection point in health care. A 50-year span of algorithm and software development has produced some powerful approaches to extracting patterns from big data. For example, deep-learning neural networks have been shown to be effective for image analysis, resulting in the first FDA-approved AI-aided diagnosis of an eye disease called diabetic retinopathy, using only photos of a patient's eye. However, the application of AI in the health care domain has also revealed many of its weaknesses, outlined in a recent guidance document from the World Health Organization (WHO). The document covers a lengthy list of topics, each of which are just as important as the last: responsible, accountable, inclusive, equitable, ethical, unbiased, responsive, sustainable, transparent, trustworthy and explainable AI.

Dave Girouard, the chief executive of the AI lending platform Upstart Holdings Inc. UPST, -2.51% in Silicon Valley, understood the worry. "The concern that the use of AI in credit decisioning could replicate or even amplify human bias is well-founded," he said in his testimony at the hearing. But Girouard, who co-founded Upstart in 2012, also said he had created the San Mateo, Calif.-based company to broaden access to affordable credit through "modern technology and data science." And he took aim at the shortcomings he sees in traditional credit scoring. The FICO score, introduced in 1989, has become "the default way banks judge a loan applicant," Girouard said in his testimony.

Back in 2004, the Defense Advanced Research Projects Agency (DARPA) Grand Challenge paved the way for autonomous vehicle development. Now, some of the innovators who have competed in that challenge are taking things further as advisors for the Indy Autonomous Challenge (IAC). Organized by Energy Systems Network and the Indianapolis Motor Speedway, IAC is addressed to university teams from all over the world, who will compete for the $1 million grand prize. Hundreds of students from over 40 schools entered the first stage of the challenge. As of this month, the 10 final teams have been established, with more than 200 students from 19 universities.

The world knows that Artificial Intelligence is creating a massive shift in the technology field as well as the lives of citizens across the world. The continuous emergence of AI models has successfully accelerated productivity and enhanced customer engagement in the cut-throat competitive market. Multiple industries and companies along with the government have started adopting AI models to provide freedom to employees from mundane tasks through automated services. India is one of the developing countries that has started allocating budgets for implementing Artificial Intelligence projects. India is set to use ground-breaking technologies for better productivity and earn revenue in the nearby future. Reputed tech companies, especially from Silicon Valley, have realized the potential of India's digital footprint and have started developing branches here.

A writer and military historian responds to Justina Ireland's "Collateral Damage." The histories of the military and technology often go hand in hand. Soldiers and military thinkers throughout the past have continually come up with new ways to fill the people over there full of holes as a means to encourage them to stop trying to do the same to their opponents. After the introduction of a new weapon or the improvement of an existing one, strategists spend their time trying to come up with the best way to deploy their forces to take advantage of the tools and/or to blunt their effectiveness by devising countermeasures. The development of the Greek phalanx helped protect soldiers from cavalry, the deployment of English longbows helped stymie large formations of enemy soldiers, new construction methods changed the shape of fortifications, line infantry helped European formations take advantage of firearms, and anti-aircraft cannons helped protect against incoming enemy aircraft.

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. New Mexico House Majority Leader Sheryl Williams Stapleton resigned Friday amid a criminal investigation involving alleged racketeering and money laundering. The Democratic state lawmaker has "unequivocally" denied the allegations but wrote in a letter to New Mexico's secretary of state that she felt her resignation was in the state's best interest, according to the Santa Fe New Mexican. "This is a decision that weighs heavily on me, and which I have made after a tremendous amount of consideration of the best interest of the people," she wrote.

As the Covid-19 pandemic has shown, we live in a richly connected world, facilitating not only the efficient spread of a virus but also of information and influence. What can we learn by analyzing these connections? This is a core question of network science, a field of research that models interactions across physical, biological, social, and information systems to solve problems. The 2021 Graph Exploitation Symposium (GraphEx), hosted by MIT Lincoln Laboratory, brought together top network science researchers to share the latest advances and applications in the field. "We explore and identify how exploitation of graph data can offer key technology enablers to solve the most pressing problems our nation faces today," says Edward Kao, a symposium organizer and technical staff in Lincoln Laboratory's AI Software Architectures and Algorithms Group.

As the use of AI accelerates around the world, policymakers are asking questions about what frameworks should guide the design and use of AI, and how it can benefit society. The EU is the first institution to take a major step to answer these questions through a proposed legal framework for AI released on 21 April 2021. In doing so, the EU is seeking to establish a safe environment for AI innovation and to position itself as a leader in setting "the global gold standard" for regulating AI. This is a positive aspect of the proposal as AI is a broad set of technology, tools and applications. Shifting the focus away from AI technology, which can have significantly different impacts depending on the application for which it is used, helps to mitigate the risk of divergent requirements for AI products and services.

Opinion prediction is an emerging research area with diverse real-world applications, such as market research and situational awareness. We identify two lines of approaches to the problem of opinion prediction. One uses topic-based sentiment analysis with time-series modeling, while the other uses static embedding of text. The latter approaches seek user-specific solutions by generating user fingerprints. Such approaches are useful in predicting user's reactions to unseen content. In this work, we propose a novel dynamic fingerprinting method that leverages contextual embedding of user's comments conditioned on relevant user's reading history. We integrate BERT variants with a recurrent neural network to generate predictions. The results show up to 13\% improvement in micro F1-score compared to previous approaches. Experimental results show novel insights that were previously unknown such as better predictions for an increase in dynamic history length, the impact of the nature of the article on performance, thereby laying the foundation for further research.