As the sector evolves, AI and ML offer measurable business value while improving health outcomes for potentially millions of policyholders.

Advances in automation, robotics, artificial intelligence (AI), and machine learning (ML) are transforming how research is done at NSLS-II, streamlining workflows, enhancing productivity, and alleviating workloads for both users and staff.

A new type of smart interconnect IP can leverage ML heuristics to dramatically speed up the creation of high-performance SoCs.

The study reveals that XAI methodologies are essential for making black-box AI models more transparent. Traditional ML models are often divided into white-box models, which are interpretable but less accurate,

Artificial intelligence (AI) has significantly improved the predictability of pathogenic emergence and transmissibility. A recent Nature study emphasizes that the continued success of this technology depends on data transparency and reduced training costs.

The pharmaceutical industry has long relied on data-driven decision-making to advance drug discovery, improve clinical trials, and ensure regulatory compliance. With the advent of artificial intelligence (AI) and machine learning (ML),

AirHopAI today announced launch of First Office Application at Rakuten Mobile of an AI/ML-powered sustainability solution that manages MIMO antenna re

In recent years, the rapid advancement of artificial intelligence (AI) and machine learning (ML) technologies has sparked a wave of innovation

The Evolving Role of AI/ML in Healthcare - The use of artificial intelligence/machine learning (AI/ML) in healthcare is

The artificial intelligence (AI) sector is experiencing unprecedented growth, exemplified by Amazon Web Services (AWS) recent announcement of "Ultracluster," a supercomputer comprising hundreds of thousands of proprietary Trainium chips.