A new approach could help make future AI chips smaller and more energy-efficient. A KAIST-led research team has used a single material to address one of the major obstacles facing atomically thin semiconductors: the difficulty of efficiently injecting charge. The technology could contribute to next-generation AI and low-power semiconductor devices in which multiple ultrathin layers are vertically integrated to increase device density and performance.A new approach could help make future AI chips smaller and more energy-efficient. A KAIST-led research team has used a single material to address one of the major obstacles facing atomically thin semiconductors: the difficulty of efficiently injecting charge. The technology could contribute to next-generation AI and low-power semiconductor devices in which multiple ultrathin layers are vertically integrated to increase device density and performance.Electronics & Semiconductors[#item_full_content]

A machine-learning system can identify fake, or spoofed, website addresses, according to research published in the International Journal of Electronic Security and Digital Forensics. The work offers a new tool to protect users against phishing attacks, in which attackers direct someone to a deceptive website to steal information such as bank logins or personal and private data.A machine-learning system can identify fake, or spoofed, website addresses, according to research published in the International Journal of Electronic Security and Digital Forensics. The work offers a new tool to protect users against phishing attacks, in which attackers direct someone to a deceptive website to steal information such as bank logins or personal and private data.Security[#item_full_content]

The Canadian computer scientist Yoshua Bengio, considered one of the founders of AI, told AFP that humanity is “losing control” of the technology and that the world needs guardrails similar to nuclear arms controls.The Canadian computer scientist Yoshua Bengio, considered one of the founders of AI, told AFP that humanity is “losing control” of the technology and that the world needs guardrails similar to nuclear arms controls.Machine learning & AI[#item_full_content]

Since 1665, scholarly journals have served as written records of scientific advancement—static words on a page, references written by people for other people to read. That’s about to change.Since 1665, scholarly journals have served as written records of scientific advancement—static words on a page, references written by people for other people to read. That’s about to change.Hi Tech & Innovation[#item_full_content]

Researchers at The University of Manchester, Shandong Jiaotong University and Harbin Engineering University have developed a machine learning framework that enables rapid predictions of how protected steel beams respond during a fire, offering engineers a faster way to assess fire safety performance in industrial structures.Researchers at The University of Manchester, Shandong Jiaotong University and Harbin Engineering University have developed a machine learning framework that enables rapid predictions of how protected steel beams respond during a fire, offering engineers a faster way to assess fire safety performance in industrial structures.Engineering[#item_full_content]

Solid-state drives (SSDs), which store data in computers and servers, are critical to data center reliability. When they fail, they can contribute to service disruptions, data loss and high maintenance costs, making early failure prediction important.Solid-state drives (SSDs), which store data in computers and servers, are critical to data center reliability. When they fail, they can contribute to service disruptions, data loss and high maintenance costs, making early failure prediction important.Hardware[#item_full_content]

The potential existential threat of artificial intelligence has leapt into the headlines after a departing safety researcher at AI company Anthropic posted on social media that he believed there was more than a 1-in-10 chance AI could kill everyone.The potential existential threat of artificial intelligence has leapt into the headlines after a departing safety researcher at AI company Anthropic posted on social media that he believed there was more than a 1-in-10 chance AI could kill everyone.Machine learning & AI[#item_full_content]

Open source software underpins much of the modern digital world, from mobile phones and automobiles to cloud computing and artificial intelligence. Now, the rapid adoption of AI is creating new opportunities to improve that software while placing growing pressure on the people responsible for maintaining and securing it, according to a new TechBrief from the Association for Computing Machinery’s Technology Policy Council (TPC).Open source software underpins much of the modern digital world, from mobile phones and automobiles to cloud computing and artificial intelligence. Now, the rapid adoption of AI is creating new opportunities to improve that software while placing growing pressure on the people responsible for maintaining and securing it, according to a new TechBrief from the Association for Computing Machinery’s Technology Policy Council (TPC).Software[#item_full_content]

AI is advancing rapidly. One of the major shifts in the field is that, instead of single chatbots performing individual tasks, teams of autonomous agents work together by communicating with each other, sharing tools and accessing shared knowledge libraries.AI is advancing rapidly. One of the major shifts in the field is that, instead of single chatbots performing individual tasks, teams of autonomous agents work together by communicating with each other, sharing tools and accessing shared knowledge libraries.Software[#item_full_content]

Large language models (LLMs), the artificial intelligence (AI) systems supporting the functioning of ChatGPT, Gemini and similar conversational platforms, are often expected to answer queries, generate texts for specific purposes and make decisions without the supervision of human experts. Yet past studies suggest that these models can sometimes mislead users, producing unreliable answers that express high confidence in false or inaccurate statements.Large language models (LLMs), the artificial intelligence (AI) systems supporting the functioning of ChatGPT, Gemini and similar conversational platforms, are often expected to answer queries, generate texts for specific purposes and make decisions without the supervision of human experts. Yet past studies suggest that these models can sometimes mislead users, producing unreliable answers that express high confidence in false or inaccurate statements.Computer Sciences[#item_full_content]