A deep learning framework enhances medical image recognition by optimizing RNN architectures with LSTM, GRU, multimodal fusion, and CNN ...

Objective To determine how distinct combinations of resistance training prescription (RTx) variables (load, sets and frequency) affect muscle strength and hypertrophy. Data sources MEDLINE, Embase, ...

Quiq reports on key questions surrounding AI, covering its capabilities, risks, ethical challenges, and future implications ...

Quantum Computing Breakthroughs Accelerate Progress It feels like every week there’s some new development in quantum ...

Before jumping into the AI deep end, it’s vital to take the time to understand how your infrastructure really fits together.

There are a growing number of networking startups working to tackle the challenges of AI networking. Aria Networks is hoping ...

Butterfly Network (NYSE:BFLY) announced today that it launched Compass AI, the latest generation of its enterprise software ...

A new software enables brain simulations which both imitate the processes in the brain in detail and can solve challenging ...

Microsoft’s Ignite event this week saw the Azure platform integrate more AI into network operations, while Palo Alto Networks ...

Explore the role of AI in drug discovery and how it revolutionises research through machine learning insights and strategies.

Although some outcomes showed small to medium effect sizes, these results must be interpreted cautiously given the presence ...