Abstract: As the frequency of cyber attacks (e.g., DDoS) continues to rise, it becomes increasingly crucial to trace malicious packets and identify which autonomous systems (ASes) they originate from ...

Google DeepMind has named Jasjeet "Jas" Sekhon its new Chief Strategy Officer on March 18. Sekhon is not a product executive or a Silicon Valley veteran. He is a statistician, one of the most ...

The edge inference conversation has been dominated by latency. Read any survey paper, attend any infrastructure conference, and the opening argument is nearly always the same: cloud inference ...

The inference era is not here yet at full scale. But the infrastructure decisions made today will determine who is ...

The first act of the current AI boom was defined by prediction. LLMs were trained to predict the next word in a sentence, acting as sophisticated statistical mirrors of the internet. But for the ...

AWS partnered with Cerebras. Microsoft licensed Fireworks. Google built Ironwood. One week of announcements reveals who ...

Lightbits Labs Ltd. today is introducing a new architecture aimed at addressing one of the most stubborn bottlenecks in large-scale artificial intelligence inference: the growing mismatch between the ...

Inference protection is a preventive approach to LLM privacy that stops sensitive data from ever reaching AI models. Learn how de-identification enables secure, compliant AI workflows with ...

Companies are spending enormous sums of money on AI systems, and we are now at a point where there are credible alternatives ...

We often mistake the "aha!" moment of a clear explanation for actual mastery. The feeling of learning can be a psychological illusion, but we can spot the difference.

As AI workloads shift from centralized training to distributed inference, the network faces new demands around latency requirements, data sovereignty boundaries, model preferences, and power ...