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We’ve been watching enterprises struggle with the same customer service paradox for years: They have all the technology in the world, yet a simple address change still takes three days. The problem isn’t what you think—and neither is the solution. Last month, I watched a colleague try to update their address with their bank. It […]
Fixing Enterprise Apps with AI: The T+n Problem Read More »
The next time you use a tool like ChatGPT or Perplexity, stop and count the total words being generated to fulfill your request. Each word results from a process called inference—the revenue-generation mechanism of AI systems where each word generated can be analyzed using basic financial and economic business principles. The goal of performing this
Balancing Cost, Power, and AI Performance Read More »
More than 300 people across academia and industry spilled into an auditorium to attend a BoltzGen seminar on Thursday, Oct. 30, hosted by the Abdul Latif Jameel Clinic for Machine Learning in Health (MIT Jameel Clinic). Headlining the event was MIT PhD student and BoltzGen’s first author Hannes Stärk, who had announced BoltzGen just a few days
Large language models (LLMs) sometimes learn the wrong lessons, according to an MIT study.Rather than answering a query based on domain knowledge, an LLM could respond by leveraging grammatical patterns it learned during training. This can cause a model to fail unexpectedly when deployed on new tasks.The researchers found that models can mistakenly link certain
Researchers discover a shortcoming that makes LLMs less reliable Read More »
There is growing attention on the links between artificial intelligence and increased energy demands. But while the power-hungry data centers being built to support AI could potentially stress electricity grids, increase customer prices and service interruptions, and generally slow the transition to clean energy, the use of artificial intelligence can also help the energy transition.For
How artificial intelligence can help achieve a clean energy future Read More »
How can you use science to build a better gingerbread house?That was something Miranda Schwacke spent a lot of time thinking about. The MIT graduate student in the Department of Materials Science and Engineering (DMSE) is part of Kitchen Matters, a group of grad students who use food and kitchen tools to explain scientific concepts through short videos
The brain power behind sustainable AI Read More »
Managing a power grid is like trying to solve an enormous puzzle.Grid operators must ensure the proper amount of power is flowing to the right areas at the exact time when it is needed, and they must do this in a way that minimizes costs without overloading physical infrastructure. Even more, they must solve this
A faster problem-solving tool that guarantees feasibility Read More »
A recent study from Oregon State University estimated that more than 3,500 animal species are at risk of extinction because of factors including habitat alterations, natural resources being overexploited, and climate change.To better understand these changes and protect vulnerable wildlife, conservationists like MIT PhD student and Computer Science and Artificial Intelligence Laboratory (CSAIL) researcher Justin Kay
3 Questions: How AI is helping us monitor and support vulnerable ecosystems Read More »
A robot searching for workers trapped in a partially collapsed mine shaft must rapidly generate a map of the scene and identify its location within that scene as it navigates the treacherous terrain.Researchers have recently started building powerful machine-learning models to perform this complex task using only images from the robot’s onboard cameras, but even
Teaching robots to map large environments Read More »
Coding with large language models (LLMs) holds huge promise, but it also exposes some long-standing flaws in software: code that’s messy, hard to change safely, and often opaque about what’s really happening under the hood. Researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) are charting a more “modular” path ahead. Their new approach breaks
MIT researchers propose a new model for legible, modular software Read More »
