Artificial intelligence (AI) has entered its Golden Age. Machine learning requires more data to provide compelling insights on how to optimize human activity. Landsat 9 will fill the gap and feed invaluable information into the most powerful AI recommender, predictive, and classifications systems ever. Artificial intelligence (AI) has entered its Golden Age. Machine learning requires more data to provide compelling insights on how to optimize human activity.
Armed with a newly minted undergraduate degree in geology, Jasper Baur is in the mining business. Not those mines where we extract metals or minerals; the kind that kill and maim thousands of people every year. As a freshman at upstate New York's Binghamton University in 2016, Baur started working with two geophysics professors, Alex Nikulin and Timothy de Smet, to look into employing instrument-equipped drones to speed the slow, hazardous task of finding land mines. Baur stuck with the research all the way through college; now a grad student in volcanology at Columbia University's Lamont-Doherty Earth Observatory, he is still pursuing it. "It seemed like a really relevant and impactful use of science," he said.
Machine learning, with advancements in natural language processing and deep learning, has been actively used in studying political bias on social media. But the key challenge to model political bias is the requirement of human effort to label the seed social media posts to train machine learning models. Although very effective, this approach has disadvantages in the time-consuming data labeling process and the cost to label significant data for machine learning models is significantly higher. The web offers invaluable data on political bias starting from biased news media outlets publishing articles on socio-political issues to biased user discussions about several topics in multiple social forums. In this work, we introduce a novel approach to label political bias for social media posts directly from US congressional speeches without any human intervention for downstream machine learning models.
Fox News correspondent Peter Doocy has the latest on the president's speech at the U.S. on'Special Report' Federal law enforcement agencies in the Biden administration are reportedly purchasing surveillance drones from China that have previously been labeled a potential national security threat by the Pentagon. The U.S. Secret Service and the Federal Bureau of Investigation have recently acquired surveillance drones from the Shenzhen-based company DJI, around the same time the Defense Department deemed products from the Chinese company to be a potential national security threat, according to an Axios report. DOBRIANSKY AND RUNDE: CHINA'S POWER INSIDE THE UN IS GROWING RAPIDLY AND US MUST UP ITS GAME Procurement records show that the Secret Service bought eight DJI drones on July 26 just three days after the Defense Department issued a statement warning about possible threats posed by the company's products. Around the same time, records show that the FBI bought 19 drones from DJI. DJI is one of the most popular drone manufacturers in the industry, and the company requires those who purchase their products to download proprietary software and provide to users their own mapping databases that have the potential to be monitored remotely. Concerns about the company's products being used to advance China's interests have been longstanding and include a 2017 statement from the Department of Homeland Security that claimed with "moderate confidence" that DJI was "providing U.S. critical infrastructure and law enforcement data to the Chinese government."
The FDA has authorized the marketing of Paige Prostate, an AI-based software platform to help pathologists identify prostate cancer when they review slide images from prostate biopsies.1 The standard biopsy review process involves the pathologist examining digitally scanned slide images from prostate biopsies to find areas that are suspicious for cancer. Paige Prostate provides a supplementary assessment of the image and locates the area with the highest probability of harboring cancer. The pathologist can then examine this specific area further if they did not identify it on their initial assessment. "Pathologists examine biopsies of tissue suspected for diseases, such as prostate cancer, every day. Identifying areas of concern on the biopsy image can help pathologists make a diagnosis that informs the appropriate treatment," Tim Stenzel, MD, PhD, director of the Office of In Vitro Diagnostics and Radiological Health in the FDA's Center for Devices and Radiological Health, stated in a press release.
Joe Biden made his début at the elegant green-marble rostrum of the United Nations this week, as the coronavirus infected more than half a million people each day worldwide, as wildfires and floods aggravated by climate change ravaged the Earth, and as the U.S. struggled to prevent a new cold war with China. In lofty language, the President tried to redirect the world's focus away from the calamitous end to America's longest war, in Afghanistan, and a recent bust-up with its most longstanding ally, France. Just eight months into his Presidency, Biden is already trying to hit reset on his foreign policy. "I stand here today for the first time in twenty years with the United States not at war. We've turned the page," Biden told the chamber.
LONDON – Long before the real-world effects of climate change became so abundantly obvious, the data painted a bleak picture – in painful detail – of the scale of the problem. For decades, carefully collected data on weather patterns and sea temperatures were fed into models that analyzed, predicted, and explained the effects of human activities on our climate. And now that we know the alarming answer, one of the biggest questions we face in the next few decades is how data-driven approaches can be used to overcome the climate crisis. Data and technologies like artificial intelligence (AI) are expected to play a very large role. But that will happen only if we make major changes in data management.
Scientists have developed a method using machine learning to better analyze data from a powerful scientific tool: Nuclear magnetic resonance (NMR). One way NMR data can be used is to understand proteins and chemical reactions in the human body. NMR is closely related to magnetic resonance imaging (MRI) for medical diagnosis. NMR spectrometers allow scientists to characterize the structure of molecules, such as proteins, but it can take highly skilled human experts a significant amount of time to analyze that data. This new machine learning method can analyze the data much more quickly and just as accurately.
Sepsis is a huge healthcare concern. "You take every single cancer and all the deaths due to every single cancer and you add them all up together. More people die from sepsis worldwide than that," said Bobby Reddy, Jr., CEO of Prenosis, in an interview with MD DI. And even if patients survive, they can have lifelong consequences. "Sepsis occurs when you have a very abnormal, unhealthy reaction to infection," Reddy said.
Activision Blizzard has confirmed an investigation by US regulators following allegations of sexual misconduct and discrimination at one of the world's most high-profile video game companies. The California-based company said on Tuesday that it was complying with a recent Securities and Exchange Commission subpoena sent to current and former employees and executives and the company itself on "employment matters and related issues". The Wall Street Journal had reported on Monday that the SEC was investigating how the company had treated complaints of sexual misconduct and workplace discrimination and had subpoenaed senior executives including the CEO, Bobby Kotick, a well-known tech billionaire. An SEC spokesman declined to comment. Activision Blizzard – the maker of popular video games including Candy Crush, Call of Duty, Overwatch and World of Warcraft – also said on Tuesday that it had cooperated with an Equal Employment Opportunity Commission investigation into employment practices and that it was working with multiple regulators "on addressing and resolving workplace complaints it has received" and that it was committed to making the company "one of the best, most inclusive places to work".