There’s a reason why artificial intelligence is sometimes referred to as “software 2.0”: It represents the most significant technological advance in decades. Like any groundbreaking invention, it raises concerns about the future, and much of the media focus is on the threats it brings.
There’s a reason why artificial intelligence is sometimes referred to as “software 2.0”: It represents the most significant technological advance in decades. Like any groundbreaking invention, it raises concerns about the future, and much of the media focus is on the threats it brings.
DeepMind released three papers that push the boundaries — and examine the issues — of large language models.
DeepMind released three papers that push the boundaries — and examine the issues — of large language models.
Startups are predicting how climate change will affect global commerce. Companies that specialize in climate analytics are training neural networks to help businesses manage risks posed by a warming globe,
Startups are predicting how climate change will affect global commerce. Companies that specialize in climate analytics are training neural networks to help businesses manage risks posed by a warming globe,
Wineries in areas affected by wildfires are using machine learning to produce vintages that don’t taste like smoke. Some California winemakers are using a service called Tastry to identify grapes tainted by smoke from the state’s surging blazes and recommend blends that will mask the flavor.
Wineries in areas affected by wildfires are using machine learning to produce vintages that don’t taste like smoke. Some California winemakers are using a service called Tastry to identify grapes tainted by smoke from the state’s surging blazes and recommend blends that will mask the flavor.
A new study suggests tactics for machine learning engineers to cut their carbon emissions. Led by David Patterson, researchers at Google and UC Berkeley found that AI developers can shrink a model’s carbon footprint a thousand-fold by streamlining architecture...
A new study suggests tactics for machine learning engineers to cut their carbon emissions. Led by David Patterson, researchers at Google and UC Berkeley found that AI developers can shrink a model’s carbon footprint a thousand-fold by streamlining architecture...
Amazon, Google, and Microsoft are developing machine learning tools for the fossil fuel industry even as they pledge to limit greenhouse gas emissions.
Amazon, Google, and Microsoft are developing machine learning tools for the fossil fuel industry even as they pledge to limit greenhouse gas emissions.
Are your scientist friends intimidated by machine learning? They might be inspired by a primer from one of the world’s premier tech titans. Former Google CEO Eric Schmidt and Cornell PhD candidate Maithra Raghu school scientists in machine learning in a sprawling overview.
Are your scientist friends intimidated by machine learning? They might be inspired by a primer from one of the world’s premier tech titans. Former Google CEO Eric Schmidt and Cornell PhD candidate Maithra Raghu school scientists in machine learning in a sprawling overview.
Severe heat waves and cold snaps are especially hard to forecast because atmospheric perturbations can have effects that are difficult to compute. Neural networks show promise where typical methods have stumbled.
Stay updated with weekly AI News and Insights delivered to your inbox