Algorithms are not innocent codes based on machine learning and artificial intelligence, but ideological devices that shape ...

To transition from LLMs to AGI, we need to overcome several major limitations and introduce fundamentally new capabilities ...

Quantum computing can boost the accuracy of battery material simulations, optimize power grid flows and enhance the design of ...

Mastering programming languages like Python and understanding machine learning fundamentals is essential.Building real-world ...

At first, I was afraid of the complications artificial intelligence (AI) could bring to the practice of transfer pricing (TP). I kept thinking about how TP professionals could adapt with the growing ...

New research reveals a surprising geometric link between human and machine learning. A mathematical property called convexity ...

The finding was rooted in an AI concept known as double descent, which says deep learning algorithms make fewer mistakes when they have more variable parameters than training data points. Having a ...

A novel real-time automated damage detection method leveraging reinforcement learning has been unveiled in a recent study ...

Lorenzo thinks he’s built a better way to monitor sites, using a type of generative AI called a visual language model, or VLM ...

India's National Quantum Mission aims to achieve quantum supremacy through theoretical brilliance and mission execution, much ...

INNOptimizer is using latest Bayesian Optimization algorithms and a broad set of analytical tools to guide optimizations with ...

New research reveals a surprising geometric link between human and machine learning. A mathematical property called convexity may help explain how ...