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Sustainable AI: Physical neural networks exploit light to train more efficiently

Artificial intelligence is now part of our daily lives, with the subsequent pressing need for larger, more complex models.
Electronic Design

A Neural-Network-Based Approach to Smarter DPD Engines

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...
GlobalSpec Insights

COMAU highlights the potential of AI to promote the development of the industrial system at ETFA 2025

Comau presented its vision on the strategic use of artificial intelligence (AI) in the manufacturing sector at ETFA 2025, the ...

Parallel Computing and Acceleration Techniques for Neural Networks

Therefore, parallel computing and acceleration techniques have become crucial in the research and application of neural networks, as they can significantly enhance the performance and efficiency of ...
Analytics Insight

Top 10 Deep Learning Frameworks You Should Know in 2025

Overview PyTorch and JAX dominate research while TensorFlow and OneFlow excel in large-scale AI trainingHugging Face ...
TMCnet

WiMi Lays Out Scalable Quantum Convolutional Neural Network to Enhance Image Classification Accuracy and Efficiency

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that they are actively exploring Scalable ...
EurekAlert!

Can a hybrid AI-physics model address the challenges of typhoon forecasting? New study shows significant accuracy gains

A research team has studied the development of the Shanghai Typhoon Model from a traditional physics-based regional model ...

COMAU Highlights AI's Potential to Promote the Development of the Industrial System at ETFA 2025

Comau presented its vision on the strategic use of Artificial Intelligence (AI) in the manufacturing sector at ETFA 2025.