News, analyses and commentary about machines that mimic human cognitive functions such as learning and problem solving. This includes chatbots, algorithms and Big Data analysis that make use of AI.
AI gurus say the technology is on the verge of surpassing human smarts. But critics point to fundamental flaws that have kept the tech from becoming truly intelligent.
As large language models (LLMs) become increasingly integrated into everyday life, concerns about cheating on assignments or “smuggling” AI into work are on the rise. But some writers and musicians are battling back against the technology on ethical grounds, accusing developers of using their works without consent or compensation.
Surging demand for AI is putting new strains on the US power grid, forcing scientists to take steps to cut energy costs. An MIT alumnus is leading the charge to build high-capacity storage systems that can support the massive data loads of complex AI and machine-learning models.
Scientists are using a machine-learning model to visualize Escher optical illusions in 2.5 dimensions, potentially helping them understand these physics-defying shapes and sparking new designs. A similar approach could help researchers better predict whether proteins that make good drug or vaccine targets will dissolve in certain solvents, reducing the need for more hazardous chemicals.
Despite fears of job loss, AI is also creating new jobs, as companies seek to automate mundane tasks and free up employees for higher-value work. But experts warn that we must prioritise safety and human-like instincts to avoid an AI-led dystopia.