Technology, AI, cybersecurity, infrastructure, and innovation.
Researchers at National Taiwan University have created an analytical framework that quantifies response diversity over time, potentially linking it to ecosystem stability.
Recent advancements in artificial intelligence are not only refining climate forecasts but also aiding researchers in uncovering the underlying physical dynamics that influence the future of our planet.
ApexGO, an innovative AI-driven method from researchers at the University of Pennsylvania, shows promise in improving antibiotic candidates, achieving an 85% success rate in lab tests.
A new AI model sheds light on the formation of extreme weather events, such as super typhoons, by analyzing historical data and identifying critical patterns.
The recent decision by Beijing to block the acquisition of an AI start-up in Singapore raises questions about the future of Chinese companies relocating to the city-state.
Research indicates that a single radioactive cloud was a major contributor to the nuclear fallout from the Fukushima disaster on March 11, 2011, as published in the Journal of Hazardous Materials.
OpenAI's CEO Sam Altman is set to testify in a significant trial involving Elon Musk, addressing allegations that could impact the future of the AI company.
During a recent discussion, educators highlighted the critical need to teach ethics and social implications of AI tools, cautioning against the loss of foundational knowledge.
A recent analysis highlights investor concerns regarding potential regulatory impacts on artificial intelligence, urging leaders like Trump and Xi to avoid interference.
Experts suggest that while new AI models for predicting sepsis are emerging, their performance may not be the sole factor influencing hospitals' willingness to adopt them.
As patient care becomes increasingly urgent, AI technologies like those from Aidoc are proving vital in enhancing clinical decision-making through real-time analysis.
KAIST researchers have introduced a novel chip-scale photonic technique aimed at generating ultralow-noise microwave and millimeter-wave signals, enhancing stability and reliability.
AI companions are becoming increasingly popular, with 72% of U.S. adolescents engaging with these technologies for various forms of support. Their potential extends beyond personal use to significant climate action.
Researchers at Science Tokyo have developed a new computational method that merges generative AI with atomistic simulations to improve the search for hydrogen fuel cell catalysts.
Recent research has identified critical weak spots in lithium metal that may impact the performance of electric vehicle batteries, potentially paving the way for improved designs.
The case of Taki Allen underscores the potential dangers of AI in law enforcement, particularly in misidentifying objects and individuals, leading to wrongful arrests.
During a recent testimony in Elon Musk's lawsuit, Microsoft CEO Satya Nadella reflected on the 2023 attempt to oust OpenAI's CEO, describing it as poorly executed.
As artificial intelligence becomes increasingly integrated into research environments, it raises important questions about trust and collaboration among scientists.
The CEO of Circle has expressed concerns that recent layoffs driven by AI advancements may be just the beginning of broader employment challenges.
The development of protein language models is advancing the field of protein engineering, enabling the creation of novel structures. However, there is a pressing need for safety and explainability in these AI tools.