As artificial intelligence continues to transform recruitment and workplace practices, questions around transparency, fairness, and trust are becoming increasingly urgent. A new article sheds light on how workers and job applicants across Europe experience and perceive AI-driven data practices, offering fresh empirical insights into one of the most pressing challenges in today’s datafied workplace.As artificial intelligence continues to transform recruitment and workplace practices, questions around transparency, fairness, and trust are becoming increasingly urgent. A new article sheds light on how workers and job applicants across Europe experience and perceive AI-driven data practices, offering fresh empirical insights into one of the most pressing challenges in today’s datafied workplace.Machine learning & AI[#item_full_content]

A new University of California San Diego study unveils the first empirical evidence that a modern artificial intelligence system can pass the Turing test—a major scientific benchmark that asks whether a machine can imitate human conversation so convincingly that people can’t reliably tell it apart from a real person. In a series of experiments, people were often unable to tell the difference between humans and advanced large language models (LLMs).A new University of California San Diego study unveils the first empirical evidence that a modern artificial intelligence system can pass the Turing test—a major scientific benchmark that asks whether a machine can imitate human conversation so convincingly that people can’t reliably tell it apart from a real person. In a series of experiments, people were often unable to tell the difference between humans and advanced large language models (LLMs).Security[#item_full_content]

A new framework allows AI models that have already been trained to learn new tasks without sacrificing performance when performing old tasks. The framework, called CHEEM, also improves an AI model’s operating efficiency by using fewer computational steps to perform simpler tasks.A new framework allows AI models that have already been trained to learn new tasks without sacrificing performance when performing old tasks. The framework, called CHEEM, also improves an AI model’s operating efficiency by using fewer computational steps to perform simpler tasks.Computer Sciences[#item_full_content]

Anthropic, the company behind the generative AI tool Claude, claimed in March 2026 that it used an AI interviewer to conduct “the largest and most multilingual qualitative study” ever done. The AI tool collected responses from nearly 81,000 people about their visions for AI, spanning 70 languages and 159 countries. Anthropic contends that tools like this can enable researchers to conduct “rich, open-ended interviews at a very large scale.”Anthropic, the company behind the generative AI tool Claude, claimed in March 2026 that it used an AI interviewer to conduct “the largest and most multilingual qualitative study” ever done. The AI tool collected responses from nearly 81,000 people about their visions for AI, spanning 70 languages and 159 countries. Anthropic contends that tools like this can enable researchers to conduct “rich, open-ended interviews at a very large scale.”Machine learning & AI[#item_full_content]

South Korean researchers have successfully developed a core technology that can fundamentally resolve “memory shortages,” a chronic bottleneck in large-scale artificial intelligence (AI) training. This technology is a next-generation memory expansion technology based on Ethernet, which is expected to drive infrastructural innovation across the entire AI and big data industries in the future.South Korean researchers have successfully developed a core technology that can fundamentally resolve “memory shortages,” a chronic bottleneck in large-scale artificial intelligence (AI) training. This technology is a next-generation memory expansion technology based on Ethernet, which is expected to drive infrastructural innovation across the entire AI and big data industries in the future.Computer Sciences[#item_full_content]

Drones are becoming increasingly common in densely populated urban centers, supporting applications ranging from parcel delivery to surveillance. However, their growing presence has introduced significant challenges related to safety, congestion, and coordination in low-altitude airspace.Drones are becoming increasingly common in densely populated urban centers, supporting applications ranging from parcel delivery to surveillance. However, their growing presence has introduced significant challenges related to safety, congestion, and coordination in low-altitude airspace.Automotive[#item_full_content]

Researchers at Carnegie Mellon University are investigating how humans respond to artificial intelligence agents that sound physically present in the same room, work that could shape the future of audio-only AI systems used in smart glasses, accessibility tools and other screen-free technologies.Researchers at Carnegie Mellon University are investigating how humans respond to artificial intelligence agents that sound physically present in the same room, work that could shape the future of audio-only AI systems used in smart glasses, accessibility tools and other screen-free technologies.Consumer & Gadgets[#item_full_content]