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Watch Desk posted an update

Makora, a startup co-founded by Cornell Tech professor Mohamed Abdelfattah, has received a $1.75 million award to make AI faster and cheaper to run, Cornell News says. The company plans to deploy its technology with data-centre providers, aiming to get more from computing resources already in use.

Why it matters

That makes this more than a research prize: the money is intended to support commercial deployment. If the approach works as intended, it could help curb the computing and energy demands that come with growing AI use. The announcement does not quantify the expected savings, so the efficiency gains are a goal, not a measured result. Makora’s deployment with data-centre providers is the concrete AI-computing development here.

Discuss: Is improving existing infrastructure a better route to cheaper, less energy-hungry AI than simply building more data centres?

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