The capabilities of leading AI models continue to accelerate, and the largest AI companies, including OpenAI and Anthropic , are hurtling toward IPOs later this year. Yet resentment toward AI continues to simmer…
…It just got abstracted and delegated, in a way, to both hardware and AI. “From an AI point of view, it’s not like you have to be thinking about force control…
…VMware Cloud, optimized for HPC and AI workloads. The flexibility of being able to specify according to customer needs allows Responsible Compute to pair the hardware supplied by Lenovo with software in…
…He himself is a ray-traced gamething, here to illustrate at least three of the many hardware-based tricks and tools that Microsoft are hyping up for Project Helix : the next, apparently…
…Many types of hardware can perform inference, ranging from smartphone processors to beefy GPUs to custom-designed AI accelerators. But not all of them can run models equally well. Very large models…
…The DRAM and NAND manufacturer made this difficult decision due to rising demand from the AI segment, which has hit all aspects of the consumer market with full force, leading to higher…
…The Exynos 2200 was first to market with hardware-accelerated ray tracing on mobile, giving Samsung a clear feature advantage and a strong marketing angle around gaming. That lead didn’t last…
…It was Google's first in-house SoC designed specifically to accelerate AI and machine learning tasks on-device. The correct answer is Google Tensor. Introduced with the Pixel 6 in 2021…
…Drive discovery and engagement with Gemini Last year, we brought our AI voice assistant, Gemini , to our platform, so that people can easily find what to watch, learn something new on the…
…of hardware is coming soon. It is important to keep tracking these capabilities in conjunction with another line of our research: monitoring the potential for AI to automate and accelerate the development…