Xiaowei Gu and Joshua Johansen at the RIKEN Center for Brain Science in Japan have discovered key circuitry in the rat brain that allows the learning of inferred emotions. The study reveals how the ...

These tech stocks look particularly well positioned to benefit from this opportunity.

While the tech world obsesses over headlines about the $100 million price tag to train GPT-4, the real economic story is happening in inference: the ongoing cost of actually running AI models in ...

Historically, we have used the Turing test as the measurement to determine if a system has reached artificial general intelligence. Created by Alan Turing in 1950 and originally called the “Imitation ...

AMD is strategically positioned to dominate the rapidly growing AI inference market, which could be 10x larger than training by 2030. The MI300X's memory advantage and ROCm's ecosystem progress make ...

The CNCF is bullish about cloud-native computing working hand in glove with AI. AI inference is the technology that will make hundreds of billions for cloud-native companies. New kinds of AI-first ...

The focus of artificial intelligence computing is set to shift from training to inference beyond 2025, a transition that will also redefine system bottlenecks across data centers, according to .

Over the past several years, the lion’s share of artificial intelligence (AI) investment has poured into training infrastructure—massive clusters designed to crunch through oceans of data, where speed ...

Google Kubernetes Engine is moving from hype to hardened practice as teams chase lower latency, higher throughput and portability. In fact, the GKE inference conversation has moved away from ...