Future manufacturing: How to solve the US productivity paradox
U.S. manufacturing productivity remains flat despite an uptick in new factory and workforce growth in recent years. MIT experts suggest three solutions.
U.S. manufacturing productivity remains flat despite an uptick in new factory and workforce growth in recent years. MIT experts suggest three solutions.
Stagnant productivity, a tightening workforce, and rising global competition are reprioritizing manufacturing in the U.S. What’s needed: new production models.
The age of agentic AI — systems that are semi- or fully autonomous and can act on their own — has arrived. Here’s what you need to know, according to MIT experts.
This excerpt from “Unlikely Entrepreneurs” explains how small to medium-sized businesses are often viewed by cybercriminals as vectors to infect the systems of larger, harder-to-access companies.
Agile was supposed to revolutionize how companies operate, but it’s fundamentally mismatched with the complex world of platform markets, says digital economy specialist Georg Rilinger.
AI systems built or run with limited resources could soon perform on par with leading larger models while costing much less, according to new research.
Open-source and open-weight AI models perform well and cost less — but users opt for closed models 80% of the time, according to new research.
Experts in artificial intelligence from MIT Sloan are keeping an eye on the human-LLM accuracy gap, AI guardrails, and other trends.
MIT Startup Exchange supports MIT-connected ventures as they explore and assess new technologies. Here are eight companies that were featured in its recent Virtual Demo Day.
The MIT Leaders for Global Operations (LGO) program welcomes Coherent Corp., GE Vernova, and Mayo Clinic as its newest industry partners. Their addition brings LGO’s partner company total to 28.