Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization ...

While multiple machine learning (ML) algorithms offered similar predictive performance, the cost-effective analysis revealed ...

Models rewrite code to avoid being shut down. That’s why ‘alignment’ is a matter of such urgency.

Does the Z13 justify the price tag? True, the Z13 might be an appealing option for, say, a niche subset of demanding gamers ...

Microsoft’s data lakes meet the industrial internet of things, helping you create complex models with data from multiple ...

Rose Yu has drawn on the principles of fluid dynamics to improve deep learning systems that predict traffic, model the ...

Rather than building fragmented tools, GenOS enables Intuit to deliver consistent and scalable AI experiences by integrating ...

The global telecommunications landscape is characterized by unprecedented connectivity demands, fueled by a surge in mobile data traffic projected to reach staggering volumes in the coming years. Some ...

Machine learning models using data from digital inhalers can successfully predict COPD exacerbations up to 5 days in advance.

The Kabul River Basin is highly vulnerable to flooding due to its steep mountainous terrain, heavy seasonal rainfall, and ...

The customer demand and improving technology have caused a rapid transformation of the marketing industry in 2025. Brands cannot use traditional strategies anymore because today’s market runs on ...

Classical AI is not a competitor to quantum; it’s a critical enabling technology for realizing quantum’s potential.