Neural networks and Raman spectroscopy identify microplastic invaders for a cleaner world
A research team led by Prof. Gao Xiaoming from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences ...
Microsoft and NVIDIA are teaming up to put more AI in your games — Neural Shading comes to DirectX soon
NVIDIA and Microsoft announced a partnership to bring RTX Neural Shaders to a DirectX preview in April. Here's what you need ...
'Fishial' recognition: Neural network deciphers coral reef sounds for species identification
Coral reefs are some of the world's most diverse ecosystems. Despite making up less than 1% of the world's oceans, one ...
AI basics: What are neural networks and why are they significant?
The field of AI is notoriously filled with jargon. To better understand what is going on, here is a series of explainers, ...
Deepfake detectors struggle to tell real from fake using real world data
Detectors that are used to uncover deepfake images have ‘major vulnerabilities’ when used on videos they weren’t trained on, ...
The Leap To AGI: How Bioprocessors Could Catapult AI Beyond Today's Advancements
Bioprocessors could give us the tools to achieve AGI far sooner than anyone expected, but this leap comes with risks that we ...
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Programmable iontronic neural networks
Guo-Xing Miao, Professor at the University of Waterloo, guides us through programmable iontronic neural networks ...
Astronomers Just Created the Most Detailed 3D Map of Cosmic Dust Yet
Voluminous clouds of cosmic dust permeate our galaxy, but only recently has software allowed detailed observations of the ...
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Weird New Computer Runs AI on Captive Human Brain Cells
Australian startup Cortical Labs has launched what it's calling the "world’s first code deployable biological computer." ...
AI Can Now Learn 100x Faster Without Wasting Energy
AI is consuming more energy than ever, with data centers struggling to keep up with demand. A breakthrough training method ...
The Scientific Method Vs. AI: Is There Still Room For Theory?
Modern AI technology is data-hungry. In many areas, data is scarce. For example, in our work in early oncology clinical trials, we only have data on about 20 patients, so we tend to use theory-based ...