techtimes

NVIDIA’s New LLM Decodes 6x More Tokens Without an Auxiliary Draft Model

Any engineer currently running Eagle3 or a multi-token-prediction setup to speed up their LLM inference now has a compelling reason to look at the alternative NVIDIA's research team published Tuesday.
ki.se

Algorithmic Dynamics Lab - Decoding and Reprogramming Life – Narsis Kiani

We develop AI-mediated and algorithmic approaches to study the informational and computational principles that may drive life. By combining computability, algorithmic information, and dynamical ...
techtimes

AI Patching Reaches Open Source: OpenAI Patch the Planet Targets Python, cURL, Go

OpenAI launched Patch the Planet on June 22, pairing GPT-5.5-Cyber with full-time security engineers from Trail of Bits to find, validate, and patch vulnerabilities in widely used open-source projects ...
IEEE

Encoding–Decoding-Based Quantized Learning Control Using Spherical Polar Coordinates

Abstract: This study investigates the performance of discrete-time systems under quantized iterative learning control. An encoding–decoding mechanism is combined with a spherical polar ...
IEEE

Adaptive Quantized Iterative Learning Control Using Encoding-Decoding Strategy

Abstract: This study investigates the utilization of a dynamic encoding-decoding mechanism for transferred signals to explore adaptive quantized iterative learning ...
note

Luffy Development Log #2 — The Pitfalls of "Citations" and UI Design for Experimental Validation

In the previous installment, I introduced LUFFY as a six-phase enzyme design loop: "Sequence → Literature Anchor → ESM-2 Embedding → Tellurium Simulation → Yield Prediction via Gaussian Process (GP) → ...