Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

6G visions include immersive extended reality, holographic communications, tactile internet applications, and large-scale digital twins. Supporting these services will demand fully autonomous network ...

Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average ...

A blood sample does not have an obvious odor to a person in a lab coat. But to an electronic nose, it can carry a chemical signature that points toward disease.

Multimodal sensing in physical AI (PAI), sometimes called embodied AI, is the ability for AI to fuse diverse sensory inputs, ...

Indian agriculture stands at a critical turning point, where Artificial Intelligence (AI) is increasingly being harnessed to support farmers, strengthen decision-making, and enhance productivity. By ...

ML is poised to become faster and more accessible by 2026. Simply having the support of GenAI already gives it an advantage over other AI-based solutions.

The open-source nature of RISC-V brings the benefits of a modular and royalty-free instruction set architecture (ISA) that eliminates licensing fees, can accelerate development, and fosters ...

Machine learning models are usually complimented for their intelligence. However, their success mostly hinges on one fundamental aspect: data labeling for machine learning. A model has to get familiar ...

How Can Non-Human Identities Strengthen Cybersecurity? Are organizations truly leveraging the full potential of Non-Human Identities (NHIs) in their quest for robust cybersecurity? With cybersecurity ...

In machine learning, privacy risks often emerge from inference-based attacks. Model inversion techniques can reconstruct ...

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...