Latest from MIT Tech Review – The future of AI processing

Artificial Intelligence (AI) is emerging in everyday use cases, thanks to advances in foundational models, more powerful chip technology, and abundant data. To become truly embedded and seamless, AI computation must now be distributed—and much of it will take place on device and at the edge.  To support this evolution, computation for running AI workloads…

Latest from MIT Tech Review – Generative AI is reshaping South Korea’s webcomics industry

“My mind is still sharp and my hands work just fine, so I have no interest in getting help from AI to draw or write stories,” says Lee Hyun-se, a legendary South Korean cartoonist best known for his seminal series A Daunting Team, a 1983 manhwa about the coming-of-age of heroic underdog baseball players. “Still,…

Latest from MIT Tech Review – AI is pushing the limits of the physical world

Architecture often assumes a binary between built projects and theoretical ones. What physics allows in actual buildings, after all, is vastly different from what architects can imagine and design (often referred to as “paper architecture”). That imagination has long been supported and enabled by design technology, but the latest advancements in artificial intelligence have prompted…

Latest from MIT : MIT’s McGovern Institute is shaping brain science and improving human lives on a global scale

In 2000, Patrick J. McGovern ’59 and Lore Harp McGovern made an extraordinary gift to establish the McGovern Institute for Brain Research at MIT, driven by their deep curiosity about the human mind and their belief in the power of science to change lives. Their $350 million pledge began with a simple yet audacious vision:…

Latest from MIT : Making AI-generated code more accurate in any language

Programmers can now use large language models (LLMs) to generate computer code more quickly. However, this only makes programmers’ lives easier if that code follows the rules of the programming language and doesn’t cause a computer to crash. Some methods exist for ensuring LLMs conform to the rules of whatever language they are generating text…

Latest from MIT Tech Review – A Google Gemini model now has a “dial” to adjust how much it reasons

Google DeepMind’s latest update to a top Gemini AI model includes a dial to control how much the system “thinks” through a response. The new feature is ostensibly designed to save money for developers, but it also concedes a problem: Reasoning models, the tech world’s new obsession, are prone to overthinking, burning money and energy…

Latest from MIT Tech Review – Adapting for AI’s reasoning era

Anyone who crammed for exams in college knows that an impressive ability to regurgitate information is not synonymous with critical thinking. The large language models (LLMs) first publicly released in 2022 were impressive but limited—like talented students who excel at multiple-choice exams but stumble when asked to defend their logic. Today’s advanced reasoning models are…

Latest from MIT Tech Review – AI is coming for music, too

Artificial intelligence was barely a term in 1956, when top scientists from the field of computing arrived at Dartmouth College for a summer conference. The computer scientist John McCarthy had coined the phrase in the funding proposal for the event, a gathering to work through how to build machines that could use language, solve problems…