Most companies find that the biggest challenge to AI is taking a promising experiment, demo, or proof-of-concept and bringing it to market. McKinsey Digital Analyst Rodney Zemmel sums this up: It’s “so easy to fire up a pilot that you can get stuck in this ‘death by 1,000 pilots’ approach.” It’s easy to see AI’s…
Last November, Bradford G. Smith got a brain implant from Elon Musk’s company Neuralink. The device, a set of thin wires attached to a computer about the thickness of a few quarters that sits in his skull, lets him use his thoughts to move a computer pointer on a screen. And by last week he…
What would a behind-the-scenes look at a video generated by an artificial intelligence model be like? You might think the process is similar to stop-motion animation, where many images are created and stitched together, but that’s not quite the case for “diffusion models” like OpenAl’s SORA and Google’s VEO 2. Instead of producing a video…
On Thursday I watched Daniela Rus, one of the world’s top experts on AI-powered robots, address a packed room at a Boston robotics expo. Rus spent a portion of her talk busting the notion that giant fleets of humanoids are already making themselves useful in manufacturing and warehouses around the world. That might come as…
If there’s one thing that characterizes driving in any major city, it’s the constant stop-and-go as traffic lights change and as cars and trucks merge and separate and turn and park. This constant stopping and starting is extremely inefficient, driving up the amount of pollution, including greenhouse gases, that gets emitted per mile of driving. …
What if data could help predict a patient’s prognosis, streamline hospital operations, or optimize human resources in medicine? A book fresh off the shelves, “The Analytics Edge in Healthcare,” shows that this is already happening, and demonstrates how to scale it. Authored by Dimitris Bertsimas, MIT’s vice provost for open learning, along with two of Bertsimas’…
Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed a novel artificial intelligence model inspired by neural oscillations in the brain, with the goal of significantly advancing how machine learning algorithms handle long sequences of data. AI often struggles with analyzing complex information that unfolds over long periods of time, such as…
The ambiguity in medical imaging can present major challenges for clinicians who are trying to identify disease. For instance, in a chest X-ray, pleural effusion, an abnormal buildup of fluid in the lungs, can look very much like pulmonary infiltrates, which are accumulations of pus or blood. An artificial intelligence model could assist the clinician…
Since its founding 19 years ago as a pioneering collaboration with Portuguese universities, research institutions and corporations, the MIT-Portugal Program (MPP) has achieved a slew of successes — from enabling 47 entrepreneurial spinoffs and funding over 220 joint projects between MIT and Portuguese researchers to training a generation of exceptional researchers on both sides of…
AI models are riddled with culturally specific biases. A new data set, called SHADES, is designed to help developers combat the problem by spotting harmful stereotypes and other kinds of discrimination that emerge in AI chatbot responses across a wide range of languages. Margaret Mitchell, chief ethics scientist at AI startup Hugging Face, led the…