Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. Flying snakes are able to undulate their bodies as they glide through the air, and those unique movements allow them to take flight, scientists have found. These snakes, such Chrysopelea paradisi, also known as the paradise tree snake, tend to reside in the trees of South and Southeast Asia. While up there, they move along tree branches and, sometimes, to reach another tree, they'll launch themselves into the air and glide down at an angle.

In a world where new technology emerges at exponential rates, and our daily lives are increasingly mediated by speakers and sound waves, text to speech technology is the latest force evolving the way we communicate. Text to speech technology refers to a field of computer science that enables the conversion of language text into audible speech. Also known as voice computing, text to speech (TTS) often involves building a database of recorded human speech to train a computer to produce sound waves that resemble the natural sound of a human speaking. This process is called speech synthesis. The technology is trailblazing and major breakthroughs in the field occur regularly.

Artificial intelligence is an increasingly contemporary topic. Whether it is scientific, medical, industrial, or even artistic, it poses humanity to ethical and moral questions of enormous proportions. Going through the classic science fiction canonisms with the contemporary scientific chronicle suggests a story that raises questions about the value of emotions, feelings, and the possible coexistence of the human being with the car. At the heart of the story is a young pair of researchers who get the job of testing an evolved artificial intelligence model. The android should be subjected to field testing by inviting an unknown host to interact by simulating human attitudes.

Amazon today announced the general availability of CodeGuru, an AI-powered developer tool that provides recommendations for improving code quality. It was first revealed during the company's Amazon Web Services (AWS) re:Invent 2019 conference in Las Vegas, and starting today, it's available with usage-based pricing. Software teams perform code reviews to check the logic, syntax, and style before new code is added to an existing application codebase -- it's an industry-standard practice. But it's often challenging finding enough developers to perform reviews and monitor the apps post-deployment. Plus, there's no guarantee those developers won't miss problems, resulting in bugs and performance issues.

In computer vision, one key property we expect of an intelligent artificial model, agent, or algorithm is that it should be able to correctly recognize the type, or class, of objects it encounters. This is critical in numerous important real-world scenarios--from biomedicine, where an intelligent system might be tasked with distinguishing between cancerous cells and healthy ones, to self-driving cars, where being able to discriminate between pedestrians, other vehicles, and road signs is crucial to successfully and safely navigating roads. Deep learning is one of the most significant tools for state-of-the-art systems in computer vision, and its use has resulted in models that have reached or can even exceed human-level performance in important and challenging real-world image classification tasks. Despite their successes, these models still have difficulty generalizing, or adapting to tasks in testing or deployment scenarios that don't closely resemble the tasks they were trained on. For example, a visual system trained under typical weather conditions in Northern California may fail to properly recognize pedestrians in Quebec because of differences in weather, clothes, demographics, and other features.

There is "evident bias" in some football commentary relating to the skin tone of players, according to a new study. In 80 televised games analysed across four European leagues, including the Premier League, players with a lighter skin tone were praised more often for their intelligence and work ethic. Meanwhile, those with darker skin tones were "significantly" more likely to be "reduced to their physical characteristics or athletic ability", such as their pace and power. The research, conducted by Danish firm RunRepeat in association with the Professional Footballers' Association (PFA), concluded that the findings showed "bias from commentators". "The continuous praise for players with lighter skin tone for their skill level, leadership and cognitive abilities combined with the continuous criticism for players with darker skin tone is likely to influence the perception of the soccer watching public," said the researchers.

A Japanese technology company has developed a new Bluetooth-powered smart mask that uses a speaker to amplify a person's voice. Called'c-mask,' the device can also covert a person's speech into text and then translate it into eight different languages through a smartphone app. The mask was developed by Donut Robotics, which initially raised seven million yen, or around $260,000, to fund its development through the Japanese crowdfunding site Fundinno. Donut Robotics has developed a new smart mask to protect against COVID-19 transmission, which also contains a built-in speaker to amplify a person's voice and connects to a smartphone app that can translate speech into eight languages According to Donut, around 5,000 masks are currently planned to be produced and distributed in Japan this September, where they'll retail for 3,980 yen, or around $37. The company will also charge an additional monthly subscription fee to access translation services, according to a report in Japan Today - though the exact pricing hasn't been announced.

From the very first transactions being exchanging goods to dealing with cryptocurrency, finance has come a long way. As in any other domain, technology has become an integral part of the finance ecosystem. From an Automated Teller Machine (ATM) to withdraw your cash, to algorithmic trading, the technology around finance has evolved and it keeps evolving rapidly. In this article, I'll be talking about one of the most (if not the most) influential branches of technology that has been taking over finance, Machine Learning. Machine Learning is an application of Artificial Intelligence that provides computers the ability to learn from experience without being explicitly programmed.

They represent blood, and they're color-coded based on speed: turquoise and green for the fastest flow, yellow and red for the slowest. This real-time video, which can be rotated and viewed from any angle, allows doctors to spot problems like a leaky heart valve or a failing surgical repair with unprecedented speed. And artificial intelligence (AI) imaging technology made it possible. "It's quite simple, it's like a video game," said Dr. Albert Hsiao, an associate professor of radiology at the University of California, San Diego, who developed the technology while a medical resident at Stanford University. There's a lot going on behind the scenes to support this simplicity.

In a newly published paper on the preprint server Arxiv.org, Through techniques like compute-efficient machine learning, federated learning, and data sovereignty, the coauthors assert scientists and practitioners have the power to cut contributions to the carbon footprint while restoring trust in historically opaque systems. Sustainability, privacy, and transparency remain underaddressed and unsolved challenges in AI. In June 2019, researchers at the University of Massachusetts at Amherst released a study estimating that the amount of power required for training and searching a given model involves the emission of roughly 626,000 pounds of carbon dioxide -- equivalent to nearly 5 times the lifetime emissions of the average U.S. car. Partnerships like those pursued by DeepMind and the U.K.'s National Health Service conceal the true nature of AI systems being developed and piloted.