In a study that truly underscores the profound and devastating impact humans have on the environment, researchers have found that microscopic bugs are evolving to eat plastic.
The National Institutes of Health will invest $130 million over four years, pending the availability of funds, to accelerate the widespread use of artificial intelligence (AI) by the biomedical and behavioral research communities. The NIH Common Fund’s Bridge to Artificial Intelligence (Bridge2AI) program is assembling team members from diverse disciplines and backgrounds to generate tools, resources, and richly detailed data that are responsive to AI approaches. At the same time, the program will ensure its tools and data do not perpetuate inequities or ethical problems that may occur during data collection and analysis. Through extensive collaboration across projects, Bridge2AI researchers will create guidance and standards for the development of ethically sourced, state-of-the-art, AI-ready data sets that have the potential to help solve some of the most pressing challenges in human health — such as uncovering how genetic, behavioral, and environmental factors influence a person’s physical condition throughout their life.
“Generating high-quality ethically sourced data sets is crucial for enabling the use of next-generation AI technologies that transform how we do research,” said Lawrence A. Tabak, D.D.S., Ph.D., Performing the Duties of the Director of NIH. “The solutions to long-standing challenges in human health are at our fingertips, and now is the time to connect researchers and AI technologies to tackle our most difficult research questions and ultimately help improve human health.”
Social media users may trust artificial intelligence (AI) as much as human editors to flag hate speech and harmful content, according to researchers at Penn State.
The researchers said that when users think about positive attributes of machines, like their accuracy and objectivity, they show more faith in AI. However, if users are reminded about the inability of machines to make subjective decisions, their trust is lower.
The findings may help developers design better AI-powered content curation systems that can handle the large amounts of information currently being generated while avoiding the perception that the material has been censored, or inaccurately classified, said S. Shyam Sundar, James P. Jimirro Professor of Media Effects in the Donald P. Bellisario College of Communications and co-director of the Media Effects Research Laboratory.
A giant new tech hub near Shanghai successfully attracted major names like Tesla, but Lingang remains almost empty of residents three years into its launch.
The Merge is the result of years of decentralized coordination and innovation. On Merge Day, ConsenSys is hosting a 72-hour mint to celebrate the achievement of Ethereum core devs, client teams and researchers. Follow the link to claim your piece of history. Links to merge.consensys-nft.com. Learn more about the NFT drop.
The Quantum computer is the next generation tech that works not with bits but with quantum bits (qubits) with optimized performance. Its working principle is based on the superposition i.e. Unlike the dualistic processing systems based on High and LOWs(0s), it can simultaneously be 1 and 0, or a mixture of both HIGH and LOW. Quantum computers are based on the laws of quantum mechanics to solve problems that are too complex for classical computers. Here are some key takeaways on how quantum computers assist DeFi to get boosted.
When quantum computers become powerful enough, they could theoretically crack the encryption algorithms that keep us safe. The race is on to find new ones.
