Though artificial intelligence decreases human error in experimentation, human experts outperform AI when identifying causation or working with small data sets.Though artificial intelligence decreases human error in experimentation, human experts outperform AI when identifying causation or working with small data sets.[#item_full_content]
Though artificial intelligence decreases human error in experimentation, human experts outperform AI when identifying causation or working with small data sets.Though artificial intelligence decreases human error in experimentation, human experts outperform AI when identifying causation or working with small data sets.Computer Sciences[#item_full_content]
Despite significant progress in developing AI systems that can understand the physical world like humans do, researchers have struggled with modeling a certain aspect of our visual system: the perception of light.Despite significant progress in developing AI systems that can understand the physical world like humans do, researchers have struggled with modeling a certain aspect of our visual system: the perception of light.Machine learning & AI[#item_full_content]
US firm OpenAI debuted a tool last week that can generate highly realistic snippets of video from just a few lines of text, leading content creators to wonder if they are the latest professionals about to be replaced by algorithms.US firm OpenAI debuted a tool last week that can generate highly realistic snippets of video from just a few lines of text, leading content creators to wonder if they are the latest professionals about to be replaced by algorithms.Machine learning & AI[#item_full_content]
Artificial intelligence is pivotal in advancing biotechnology and medical procedures, ranging from cancer diagnostics to the creation of new antibiotics. However, the ecological footprint of large-scale AI systems is substantial. For instance, training extensive language models like ChatGPT-3 requires several gigawatt-hours of energy—enough to power an average nuclear power plant at full capacity for several hours.Artificial intelligence is pivotal in advancing biotechnology and medical procedures, ranging from cancer diagnostics to the creation of new antibiotics. However, the ecological footprint of large-scale AI systems is substantial. For instance, training extensive language models like ChatGPT-3 requires several gigawatt-hours of energy—enough to power an average nuclear power plant at full capacity for several hours.Hi Tech & Innovation[#item_full_content]
In an era where artificial intelligence (AI) is transforming industries from health care to finance, understanding how these digital brains learn is more crucial than ever. Now, two researchers from EPFL, Antonia Sclocchi and Matthieu Wyart, have shed light on this process, focusing on a popular method known as Stochastic Gradient Descent (SGD).In an era where artificial intelligence (AI) is transforming industries from health care to finance, understanding how these digital brains learn is more crucial than ever. Now, two researchers from EPFL, Antonia Sclocchi and Matthieu Wyart, have shed light on this process, focusing on a popular method known as Stochastic Gradient Descent (SGD).[#item_full_content]
In an era where artificial intelligence (AI) is transforming industries from health care to finance, understanding how these digital brains learn is more crucial than ever. Now, two researchers from EPFL, Antonia Sclocchi and Matthieu Wyart, have shed light on this process, focusing on a popular method known as Stochastic Gradient Descent (SGD).In an era where artificial intelligence (AI) is transforming industries from health care to finance, understanding how these digital brains learn is more crucial than ever. Now, two researchers from EPFL, Antonia Sclocchi and Matthieu Wyart, have shed light on this process, focusing on a popular method known as Stochastic Gradient Descent (SGD).Computer Sciences[#item_full_content]
Pollsters trying to predict presidential election results and physicists searching for distant exoplanets have at least one thing in common: They often use a tried-and-true scientific technique called Bayesian inference.Pollsters trying to predict presidential election results and physicists searching for distant exoplanets have at least one thing in common: They often use a tried-and-true scientific technique called Bayesian inference.[#item_full_content]
Pollsters trying to predict presidential election results and physicists searching for distant exoplanets have at least one thing in common: They often use a tried-and-true scientific technique called Bayesian inference.Pollsters trying to predict presidential election results and physicists searching for distant exoplanets have at least one thing in common: They often use a tried-and-true scientific technique called Bayesian inference.Computer Sciences[#item_full_content]
Researchers from Carnegie Mellon University, the University Hospital Bonn and the University of Bonn have created an open-source platform known as A-SOiD that can learn and predict user-defined behaviors, just from video. The results of the study have now been published in the journal Nature Methods.Researchers from Carnegie Mellon University, the University Hospital Bonn and the University of Bonn have created an open-source platform known as A-SOiD that can learn and predict user-defined behaviors, just from video. The results of the study have now been published in the journal Nature Methods.Software[#item_full_content]
