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Live Science on MSN
1 天
Tiny AI chip modeled on the human brain set to boost battery life in smart devices — with ...
The Spiking Neural Processor T1 is an AI chip that's modeled on the way the brain detects patterns and could extend the ...
22 小时
57 Episodes In The Astonishing 70-Year History Of AI
The seven decades of "artificial intelligence" have been marked by exaggerated promises, surprising developments and ...
3 天
Getting an all-optical AI to handle non-linear math
However, AI models are often used to find intricate patterns in data where the output is not always proportional to the input ...
ophthalmologytimes
4 天
New research links retinal imaging and deep learning to improved schizophrenia detection
Ophthalmology Times - ophthalmology news, articles, and events in a timely and accurate manner for members of the ophthalmic ...
EurekAlert!
6 天
Transfer learning-enhanced physics-informed neural network (TLE-PINN): A breakthrough in ...
Researchers have developed a transfer learning-enhanced physics-informed neural network (TLE-PINN) for predicting melt pool ...
Tehran Times
4 小时
Iran ranks second in 3D printing publications among Islamic nations
According to a report released by the Web of Science database, with 606 publications on three-dimensional printing over a ...
1 天
on MSN
Mathematical technique 'opens the black box' of AI decision-making
Western researchers have developed a novel technique using math to understand exactly how neural networks make decisions—a ...
foodengineeringmag
6 小时
Will Food Processors Find Success with AI in 2025?
FOOD ENGINEERING discusses machine learning, neural networks, Industry 4.0, data governance and other AI concepts in food ...
1 小时
on MSN
What is Machine Learning?
At first glance, machine learning might seem mysterious, but it’s built on a logical foundation. Let’s explore how each step ...
GitHub
6 天
convolutional-neural-network
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep ...
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