Scientists have developed a brain-inspired semiconductor that can adjust its responses based on experience, much like human neurons do through “intrinsic plasticity.” ...

Traditional silicon-based architectures face challenges from rising AI demands, leading to a shift towards specialized computing solutions. Neuromorphic computing reduces power usage while enhancing ...

QCi’s photonic chips could reduce the cost of quantum computers. IonQ’s trapped ion technology could shrink quantum processing units. Both of these companies are growing, but one is grossly overvalued ...

Quantum computing has emerged as one of the most popular opportunities within the AI landscape. Smaller stocks such as IonQ, Rigetti, and D-Wave, have fetched a lot of attention as of late. Yet, there ...

Overall, Alphabet looks well positioned for the future. For investors putting $1,000 to work today and looking for a dominant AI winner that still isn't priced like one, Alphabet stands out as the ...

Ryotatsu Yanagimoto, a scientist at NTT Research, led the research under the supervision of Peter L. McMahon, an associate ...

Microchips power almost every modern device — phones, laptops and even fridges. But behind the scenes, making them is a complex process. But researchers say they have found a way to tap into the power ...

Nvidia has largely dominated the artificial intelligence (AI) narrative over the last few years thanks to its combination of leading chips and software.

Over the past year, a new corner of the artificial intelligence (AI) landscape started capturing investor attention. While the dominant narratives continue to focus on chip procurement, data center ...

BUFFALO, N.Y. — It’s estimated it can take an AI model over 6,000 joules of energy to generate a single text response. By comparison, your brain needs just 20 joules every second to keep you alive and ...

Artificial intelligence (AI) benefits many industries but is limited by the so-called "curse of dimensionality," which arises when machine learning models handle data with many features. This issue is ...