ResoluteAI, the Connect to Discover company, announced the addition of a News dataset to their Foundation search platform for scientific content. In partnership with FinTech Studios, the leading AI-based intelligent search and analytics platform for Wall Street, the News database provides ResoluteAI's clients with a robust offering of timely scientific content. Foundation is a multi-source research hub that allows public scientific content to be searched as if it's single-source. ResoluteAI applies the most sophisticated artificial intelligence and machine learning to unstructured content. This AI-driven solution creates structured metadata and organizes it into datasets that include Companies, Patents, Grants, Clinical Trials, Technology Transfer, and Publications.
NASA's ambitious plans to build a base on the surface of the moon will likely be delayed. According to NASA's Dough Loverro, who oversees the agency's human exploration programs, several aspects of the project's technical design and multi-phase rollout need to be revised. One of the first changes will affect NASA's touted Lunar Gateway, a space station planned to orbit the moon and to be used as a staging point for the subsequent construction of a base on the moon's surface. NASA's ambitious plans for a lunar base will be delayed by at least a year after unexpected technical complications with the Lunar Gateway, a space station planned to orbit the moon and used as a staging area for construction materials NASA had targeted a completion window for the Lunar Gateway in 2024, and promised construction on the lunar base would begin no later than 2025, but according to a report in the Wall Street Journal, the Lunar Gateway is being reworked. NASA says it will still have a space station in orbit around the moon in 2024, but it won't initially be as capable as originally planned, likely delaying the completion date for the lunar base.
Betteridge's Law of Headlines states that any headline asked in the form of a question can be answered "no," and thus, is a bullshit proposition. This, of course, most certainly applies to the above headline. But given the increasing incidence of stories stacking under the keywords "AI" and "coronavirus" as many of the usual breathless boosters of AI/tech companies currently attempting to (gold) rush their way into a solution (and get in front of a recovering market dip), you may be led to believe otherwise. "Alibaba's new AI system can detect coronavirus in seconds with 96% accuracy" [TNW] "From robots to AI drugs, here are six tech startups fighting coronavirus" [Sifted] "AI could be our best hope in fighting the next coronavirus" [Telegraph] "How Coronavirus-Affected Regions Are Using AI to Combat Outbreak" [Analytics Insight] And where it concerns Betteridge's Law: "Can Artificial Intelligence Prevent Coronavirus From Spreading?" [CIO Review] "Coronavirus: Can AI Be A Cure?" [IBT] We'll let the Wall Street Journal's recent, sober, fair look at the crossroads between AI and coronavirus bring this point home. In a story titled "Coronavirus Reveals Limits of AI Health Tools," the WSJ's Parmy Olson reports: Self-described AI systems that are built on machine learning, which adapt based on new data they receive, are difficult to tweak for a new virus, said Hugh Harvey, co-founder of Hardian Ltd., a digital-health-care consulting firm and a former radiologist.
Earlier this month, under its "The Future of Everything" vertical, The Wall Street Journal reported how AI is improving the power grid. The Journal says artificial intelligence is "the key to keeping the lights on." The article explains how power companies are "turning to AI, drones, and sensors to curtail outages, save money, and help operate an increasingly complex electricity grid." Further, by doing so, they cut the recovery time from hurricane-related outages nearly in half in just a little over a decade. But these improvements are just the beginning of how artificial intelligence will manage the electricity grid of the future.
Dr. Khanna believes that the purpose of #AI is to amplify the human potential. After a 10-year stint in Wall Street developing large scale trading, risk management and data analytics systems, Dr. Khanna pursued her PhD in Information Systems and Innovation at the The London School of Economics and Political Science (LSE). Since then, she has become one of Asia's leading #FemaleEntrepreneurs and #fintechexpert. Under ADDO AI, Dr. Khanna has been a strategic advisor on AI smart cities and fintech to leading corporations and governments. Dr. Khanna also serves on the Board of Infocomm Media Development Authority (IMDA), helping to power its #SmartNation vision.
They beat us at chess and trivia, supplant jobs by the thousands, and are about to be let loose on highways and roads as chauffeurs and couriers. Now, fresh signs of robot supremacy are emerging on Wall Street in the form of machine stock analysts that make more profitable investment choices than humans. At least, that's the upshot of one of the first studies of the subject, whose preliminary results were released in January. Buy recommendations peddled by robo-analysts, which supposedly mimic what traditional equity research departments do but faster and at lower costs, outperform their flesh-and-blood counterparts over the long run, according to Indiana University professors. "Using this type of technology to make investment recommendations or to conduct investment analyses is going to become increasingly important," Kenneth Merkley, an associate professor of accounting and one of the authors, said by phone.
People in India watch a lot of videos on the internet. According to a report from The Wall Street Journal, Indians spend more than 8.5GB of mobile data on average, and most of it on video. Last year, YouTube said more than 95% of content consumption is in regional languages. So naturally, there's a lot of appetite for vernacular videos, but not all creators know all Indic languages. Last week, just after Parasite won the Oscar award, Mother Jones claimed dubbing is superior than translated subtitles.
Facebook CEO Mark Zuckerberg speaks about "News Tab" at the Paley Center, Friday, Oct. 25, 2019 in ... [ ] New York. The new feature in the Facebook mobile app will display headlines -- and nothing else -- from the Wall Street Journal, the Washington Post, BuzzFeed News, Business Insider, NBC, USA Today and the Los Angeles Times, among others.(AP Facebook has been ramping its acquisitions for AI (Artificial Intelligence) startups. While the deals appear to be relatively small, they still are likely to be critical for the company's future. The latest purchase was for Scape Technologies, which is focused on building computer vision applications that help with AR (Augmented Reality).
They beat us at chess and trivia, supplant jobs by the thousands, and are about to be let loose on highways and roads as chauffeurs and couriers. Now, fresh signs of robot supremacy are emerging on Wall Street in the form of machine stock analysts that make more profitable investment choices than humans. At least that's the upshot of one of the first studies of the subject, whose preliminary results were released in January. Buy recommendations peddled by robo-analysts, which supposedly mimic what traditional equity research departments do but faster and at lower cost, outperform their flesh-and-blood counterparts over the long run, according to Indiana University professors. "Using this type of technology to make investment recommendations or to conduct investment analyses is going to become increasingly important," Kenneth Merkley, an associate professor of accounting and one of the authors, said by phone.
Robots are said to take over some 200,000 jobs on Wall Street over the next decade and a new study suggests this prediction could soon become a reality. Following the analysis of 76,000 reports from seven different robo-analysis firms, researchers determined that the technology is able to make recommendations similar to their human counterparts - but faster and more accurately. Because the automation is less subject to behavioral biases and conflicts of interest, it can produce a more balanced distribution of ratings, which includes investment's risk and suggestions whether to hold, sell or purchase. Looking at the robot portfolios, the study found their buy recommendations earned returns from 6.4 percent to 6.9 percent, while those of its human counterparts only ranged from 1.2 percent to 1.7 percent. Although robo-analysis sounds like it could weed out human investors, researchers believe that as long as there are people that need human interaction, 'the buy-side, the sell-side will still be around.'