Technology, AI, cybersecurity, infrastructure, and innovation.
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.
Tech leaders Alphabet and Amazon are turning to international debt markets to secure funding aimed at enhancing their AI infrastructure as part of a growing trend among technology firms.
As society increasingly turns to AI to alleviate cognitive discomfort, there are concerns that this dependency could lead to significant issues for some individuals.
In a recent event in London, Google introduced Platform 37 and AI Exchange, showcasing its latest advancements in artificial intelligence technology.
A recent forecast suggests that AI infrastructure stocks could see substantial growth, potentially surpassing the performance of the S&P 500 in 2026.
As the demand for critical minerals grows to support AI and clean energy technologies, concerns arise over the environmental consequences and the emergence of ‘sacrifice zones.’
Strategies for enhancing resource management in AI and data center operations are crucial for efficiency and performance.
Microsoft Corp. is set to invest heavily in data center infrastructure across Europe, aiming to enhance its cloud services while focusing on sustainability.