This perspective is particularly relevant in understanding the recent emergence of reasoning models (RMs) within artificial ...

What began as an artificial intelligence special interest group for Boise State’s College of Business and Economics faculty ...

MIT economics professor Sendhil Mullainathan says it is in humans’ power to put artificial intelligence on a path to help us ...

Being all-in with the hyperscalers isn't working anymore. Enterprises are diversifying their data platforms for the AI era.

The economics of AI have shifted dramatically since OpenAI’s founding. Training costs have fallen precipitously as hardware efficiency improves and algorithmic innovations like DeepSeek’s ...

One of my favorite assignments is a short AI-supported essay where students write about how economics shows up in their everyday lives. It’s designed to help them practice prompting and refine their ...

Efficiency must translate into fewer lawyers doing more work in less time, not the same pyramid with AI buried under the base. Big Law needs to dismantle its fortress economics before clients and ...

This means: • Environments running in the cloud for large-scale training and fine-tuning of inference models Since the public introduction of ChatGPT, the discourse around AI economics has (and ...

Concurrently, AI spending is projected to reach an astounding $337 billion, signaling another year of AI frenzy as enterprises contend for competitive advantage through the promise of transformation.

Unlocking the potential of green hydrogen production through AI and ML, revolutionizing the industry and driving towards ...

"By leveraging its diverse and complete industrial system, world-leading infrastructure, large-scale reserve of scientific ...