The inspiration for this column comes not from the epic 1999 film The Matrix, as the title may suggest, but from an episode of Sean Carroll’s Mindscape podcast that I listened to over the summer. The ...

A growing number of AI processors are being designed around specific workloads rather than standardized benchmarks, ...

It is well known that large language models (LLMs) often exhibit inconsistencies in their inference results, leading to confusion for users when they ask multiple questions. The research from ...

Low Computational Efficiency: The standard implementation breaks down the attention computation into multiple independent steps (such as matrix multiplication and softmax), each requiring frequent ...

Cornami delivers breakthrough performance for scalable computing, enabling advanced encryption technologies like FHE to ...

The constant scaling of AI applications and other digital technologies across industries is beginning to tax the energy grid ...

The idea isn't novel, but presents major challenges. Tensordyne thinks it has solved them, and promises massive speed and ...

Approximately 14,000 employees of the Himachal Pradesh government will be impacted by the newly notified HP Civil Services ...

The amendment provides for omitting section 7A of the rules inserted on January 3, 2022, affecting about 14,000 employees, ...

Nvidia NVDA released its second-quarter 2026 earnings report on Aug. 27, 2025. Here’s Morningstar’s take on Nvidia’s earnings ...

The primary use case is running custom/3rd-party bridges with Beeper. You can connect any † spec-compliant Matrix application service to your Beeper account without having to self-host a whole Matrix ...