Latest from MIT Tech Review – Pragmatic by design: Engineering AI for the real world

The impact of artificial intelligence extends far beyond the digital world and into our everyday lives, across the cars we drive, the appliances in our homes, and medical devices that keep people alive. More and more, product engineers are turning to AI to enhance, validate, and streamline the design of the items that furnish our…

Latest from MIT : 3 Questions: On the future of AI and the mathematical and physical sciences

Curiosity-driven research has long sparked technological transformations. A century ago, curiosity about atoms led to quantum mechanics, and eventually the transistor at the heart of modern computing. Conversely, the steam engine was a practical breakthrough, but it took fundamental research in thermodynamics to fully harness its power.  Today, artificial intelligence and science find themselves at…

Latest from MIT : New MIT class uses anthropology to improve chatbots

Young adults growing up in the attention economy — preparing for adult life, with social media and chatbots competing for their attention — can easily fall into unhealthy relationships with digital platforms. But what if chatbots weren’t mere distractions from real life? Could they be designed humanely, as moral partners whose digital goal is to…

Latest from MIT Tech Review – Hustlers are cashing in on China’s OpenClaw AI craze

Feng Qingyang had always hoped to launch his own company, but he never thought this would be how—or that the day would come this fast.  Feng, a 27-year-old software engineer based in Beijing, started tinkering with OpenClaw, a popular new open-source AI tool that can take over a device and autonomously complete tasks for a…

Latest from MIT : A better method for planning complex visual tasks

MIT researchers have developed a generative artificial intelligence-driven approach for planning long-term visual tasks, like robot navigation, that is about twice as effective as some existing techniques. Their method uses a specialized vision-language model to perceive the scenario in an image and simulate actions needed to reach a goal. Then a second model translates those…

Latest from MIT : 3 Questions: Building predictive models to characterize tumor progression

Just as Darwin’s finches evolved in response to natural selection in order to endure, the cells that make up a cancerous tumor similarly counter selective pressures in order to survive, evolve, and spread. Tumors are, in fact, complex sets of cells with their own unique structure and ability to change.  Today, artificial Intelligence and machine…

Latest from MIT : How Joseph Paradiso’s sensing innovations bridge the arts, medicine, and ecology

Joseph Paradiso thinks that the most engaging research questions usually span disciplines.  Paradiso was trained as a physicist and completed his PhD in experimental high-energy physics at MIT in 1981. His father was a photographer and filmmaker working at MIT, MIT Lincoln Laboratory, and the MITRE Corporation, so he grew up in a house where artists,…

Latest from MIT Tech Review – How Pokémon Go is helping robots deliver pizza on time

Pokémon Go was the world’s first augmented-reality megahit. Released in 2016 by the Google spinout Niantic, the AR twist on the juggernaut Pokémon franchise fast became a global phenomenon. From Chicago to Oslo to Enoshima, players hit the streets in the urgent hope of catching a Jigglypuff or a Squirtle or (with a huge amount…

Latest from MIT Tech Review – How AI is turning the Iran conflict into theater

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. “Anyone wanna host a get together in SF and pull this up on a 100 inch TV?”  The author of that post on X was referring to an online intelligence dashboard following…

Latest from MIT : Improving AI models’ ability to explain their predictions

In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept bottleneck modeling is one method that enables artificial intelligence systems to explain their decision-making process. These methods force a deep-learning model to use…