Introduction As cybersecurity challenges grow more complex, the tools we use to protect data and communications are also ...

Now, big data, deep learning, machine learning, and personalized human-centered research on the learning brain are fueling ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of k-nearest neighbors regression to ...

Public benchmarks are designed to evaluate general LLM capabilities. Custom evals measure LLM performance on specific tasks.

It’s claimed that more information can solve our crises, from climate change to Gaza. But the world today shows how this vision of reason has tipped over into unreason, anger, and barbarism.

The PNN and EPM-based diagnostic method improves turbofan engine fault detection, achieving over 90% accuracy and ensuring ...

SEBI has issued draft guidelines on usage of artificial intelligence and machine learning by market intermediaries like AMCs ...

The potential for machine learning to transform data-intensive businesses is undeniable, but realizing this potential ...

AI and machine learning applications in brain image analysis. · Hybrid imaging techniques combining various modalities to enhance resolution and accuracy. · Novel biomarkers for neurological disease ...

The consultation paper issued on November 13 recognised the benefits of using these tools and the dangers of not regulating ...

“Their groundbreaking approach involved leveraging techniques like pruning and quantisation to optimise machine learning ...

By implementing these six data strategies, organizations can ensure their data is primed for effective AI deployment.