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As AI capabilities advance, the window for shaping whether the technology augments or replaces workers is narrowing. Decision makers need to step up, MIT researchers say.

Creativity and clean data are at the core of successful artificial intelligence implementations, according to the CFOs of Shopify and Arm Holdings.

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.

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.

Experts in artificial intelligence from MIT Sloan are keeping an eye on the human-LLM accuracy gap, AI guardrails, and other trends.

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.

As businesses adopt AI, they need to rethink how they make money. Understanding these four new business models is a place to start.

Learn how the MIT Entrepreneurship JetPack digital adviser guided health tech startup Femmli through a detailed approach to market segmentation.