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Site title: AI Accelerator Institute | Future of artificial intelligence

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Researchers in Alán Aspuru-Guzik's group at the University of Toronto want to hand that job to their AI. Their recent paper describes an agentic system that designs, configures, and operates its own laboratory setup from a high-level scientific goal.

Give it an o...


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Ninety percent of Canadian CEOs say AI now runs across multiple workflows inside their companies, according to a recent survey. The same research found 43% of tho...


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Ask a frontier AI agent to answer one business question across two enterprise databases, and the odds look worse than a coin flip. That result lands at an awkward moment, given that nearly every data platform now ships an agent and every executive wants one answering questions by Friday.

For data scientists, the timing could hardly be better.


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Teams must demonstrate business value while navigating growing inference demand, increasingly complex agentic workflows and a mix of models.

Success depends on how the entire system performs - from compute and data infrastructure to model serving and continuous improvement.

Join Nebius product marketing and product leaders for a prac...


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It's the story of how I spent one weekend letting an autonomous AI system run overnight to improve the very skills I use to build AI tools, and what happened when I checked the results in the morning.

Let me walk you through it...

The pizza analogy that actually makes sense

Before I get into the technical side, I want to tell you about Mickey.

Mickey is a res...


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