China just unveiled an AI chip built on "outdated" tech that it claims can crush NVIDIA’s latest GPUs—and it's not what anyone expected.

Google's TPU chips position it as a viable Nvidia competitor, targeting a significant share of the AI data center market.

With offices in Noida, Agra, and Dubai, Astha Technologies plans to expand AsthaAI Engine into cloud-based SaaS offerings, ...

Intel is seeking an AI Frameworks Engineer to develop PyTorch, TensorFlow, and JAX for enterprise-level AI production in a variety of environments due to the te ...

If you are interested in working in the music industry, Spotify has recently posted a handful of new openings for positions ...

Overview: Rubix ML is the strongest native option for running machine learning within PHP applications.PHP developers increasingly rely on hybrid setups that co ...

Generative AI has leapt from research labs into everyday life at an unprecedented pace. For many, the gateway into this ...

This guide shows how TPUs crush performance bottlenecks, reduce training time, and offer immense scalability via Google Cloud ...

The Firefly EC-ThorT5000 is an industrial edge AI PC built around NVIDIA’s new Jetson T5000 Thor series module, with up to ...

STMicroelectronics introduces the industry’s largest MCU model zooto accelerate Physical AI time to marketLatest extensions ...

BrainChip AKD1500 is an ultra-efficient Edge AI co-processor delivering up to 800 GOPS while consuming just 300 mW of power, ...

Build AI cheaper with E2E Networks’ GPU Cloud. Get fast H100 and H200 GPUs, transparent pricing, and no egress fees for AI ...