In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...
In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of ...
Morning Overview on MSN
Machine learning is turbocharging cheap lithium-ion battery design
Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...
Around the world, millions of families have suffered forcible separation, through war, trafficking, natural disasters, or ...
23h
I’m Cloudera’s chief strategy officer and here’s why your $1 billion AI budget just became obsolete
AI 2.0 is different and challenges that belief as larger models are proving far less valuable in practice. Rather than ...
In essence, PAI is being used for data center optimization to support the demands of digital AI (DAI) applications like ...
AgenticOps is a new operational paradigm where humans and AI collaborate in real time to create efficiency, boost security, ...
Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...
The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning ...
Many high-performance HEAs used in areas such as aerospace engines, gas turbines, and nuclear power plants employ CRMs such as tantalum, niobium, tungsten, and hafnium. These elements are expensive, ...
In some ways, data and its quality can seem strange to people used to assessing the quality of software. There’s often no observable behaviour to check and little in the way of structure to help you ...
Synthetic data allows regulators to test the resilience of critical infrastructure defenders under extreme hypothetical scenarios.
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