AI in Computer-Aided Synthesis Planning Market reached USD 2.13 bn in 2024 and is expected to grow rapidly to USD 68.06 bn by ...

For more than a decade, Christopher Kulendran Thomas has trained his own neural networks, building them from scratch before ...

Why doesn't AI replace game designers? The chapter of Take-Two reveals the shortcomings of artificial intelligence in the ...

Brain scans show that most of us have a built-in capacity to learn to code, rooted in the brain’s logic and reasoning ...

IBM released all the Granite 4 Nano models under the open-source Apache 2.0 license, which is highly permissive. The license ...

ABSTRACT: Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns ...

Abstract: Resistive memories enable dramatic energy reductions for neural algorithms. We propose a general purpose neural architecture that can accelerate many different algorithms and determine the ...

While deep neural networks have become an increasingly popular alternative to kernel methods for machine learning over the past decade, kernel-based systems have seen a resurgence in the past few ...

1 School of Mechanical Engineering, Vellore Institute of Technology, Chennai, India 2 Centre for e-Automation Technologies, Vellore Institute of Technology, Chennai, India Introduction: Friction Stir ...