Meeting the demands of real-time responsiveness has become a defining challenge for artificial intelligence as it integrates ...

A new crowd-trained way to develop LLMs over the internet could shake up the AI industry with a giant 100 billion-parameter model later this year.

From wildfire mitigation to renewable balancing, today’s grid is only as smart and resilient as the digital infrastructure ...

Catalysis plays important roles in chemical transformations, impacting industries ranging from pharmaceuticals and materials to energy production. The ...

The steel and construction industries are witnessing a technological revolution, with Tibnor at the forefront of this ...

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Remarkably, just as this problem became acute, machine learning rose to meet it ... As more of science becomes algorithmically accessible, the frontier will be defined not by what we can compute but ...

Whether training a large language model (LLM) or analyzing real-time edge streams, performance depends on the ability to move data to where the compute lives—and do so with low latency and high ...

This sprawl makes it incredibly difficult to centralize and unify data in a secure and efficient way. Traditional approaches ... It complements emerging trends like federated learning, where models ...

efficient mining operations. Seequent is increasingly introducing more machine learning across their product suite, recently evidenced by the company integrating machine learning into their drill ...