Data prefetching has emerged as a critical approach to mitigate the performance bottlenecks imposed by memory access latencies in modern computer architectures. By predicting the data likely to be ...

The biggest challenge posed by AI training is in moving the massive datasets between the memory and processor.

Scientists have been building supercomputers for simulating climate change for decades on special-purpose machines using specially crafted algorithms. Today powerful cloud computers are growing in ...

Forbes contributors publish independent expert analyses and insights. Craig S. Smith, Eye on AI host and former NYT writer, covers AI. Seven years and seven months ago, Google changed the world with ...

Domain-specific AI has changed the game in computer architecture. Why there’s such a demand for neural networks. While the general-purpose processor has long dominated market share, there’s been a ...

Imagine having a conversation with someone who remembers every detail about your preferences, past discussions, and even the nuances of your personality. It feels natural, seamless, and, most ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now A team of researchers from leading ...

Apple's Unified Memory Architecture first brought changes to the Mac with Apple Silicon M1 chips. There are clear architectural benefits for the hardware — and it is both good and bad for consumers.

Given the accuracy of Moore’s Law to the development of integrated circuits over the years, one would think that our present day period is no different from the past decades in terms of computer ...