New tool makes generative AI models more likely to create breakthrough materials
The artificial intelligence models that turn text into images are also useful for generating new materials. Over the last few…
How are MIT entrepreneurs using AI?
The Martin Trust Center for MIT Entrepreneurship strives to teach students the craft of entrepreneurship. Over the last few years,…
What does the future hold for generative AI?
When OpenAI introduced ChatGPT to the world in 2022, it brought generative artificial intelligence into the mainstream and started a…
How to build AI scaling laws for efficient LLM training and budget maximization
When researchers are building large language models (LLMs), they aim to maximize performance under a particular computational and financial budget.…
Machine-learning tool gives doctors a more detailed 3D picture of fetal health
For pregnant women, ultrasounds are an informative (and sometimes necessary) procedure. They typically produce two-dimensional black-and-white scans of fetuses that…
DoE selects MIT to establish a Center for the Exascale Simulation of Coupled High-Enthalpy Fluid–Solid Interactions
The U.S. Department of Energy’s National Nuclear Security Administration (DoE/NNSA) recently announced that it has selected MIT to establish a new…
AI and machine learning for engineering design
Artificial intelligence optimization offers a host of benefits for mechanical engineers, including faster and more accurate designs and simulations, improved…
A greener way to 3D print stronger stuff
3D printing has come a long way since its invention in 1983 by Chuck Hull, who pioneered stereolithography, a technique…
A new generative AI approach to predicting chemical reactions
Many attempts have been made to harness the power of new artificial intelligence and large language models (LLMs) to try…
3 Questions: The pros and cons of synthetic data in AI
Synthetic data are artificially generated by algorithms to mimic the statistical properties of actual data, without containing any information from…