InfoWorld

The ‘toggle-away’ efficiencies: Cutting AI costs inside the training loop

You don't need the newest GPUs to save money on AI; simple tweaks like "smoke tests" and fixing data bottlenecks can slash ...

Nvidia says it can shrink LLM memory 20x without changing model weights

Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory costs and time-to-first-token by up to 8x for multi-turn AI applications.
Scientific Research Publishing

A Lightweight Self-Supervised Representation Learning Framework for Depression Risk Profiling from Synthetic Daily Behavioural Trajectories ()

Detecting behavioural signatures of depression from everyday digital traces is a central challenge in computational psychiatry. Real-world datasets from smartphones and wearables often suffer from ...
Harvard Business Review

Quantum Computing for Business Leaders

Will the reality live up to the hype? by Jonathan Ruane, Andrew McAfee and William D. Oliver In 1994, mathematician Peter Shor introduced a quantum-computing algorithm that could reduce the time it ...
Cfr.org

Civil War in Sudan

For the first half of the twentieth century, Sudan was a joint protectorate of Egypt and the United Kingdom, known as the Anglo-Egyptian Condominium. Egypt and the United Kingdom signed a treaty ...