$45 gets you Microsoft Visual Studio Pro 2026 and a premium coding bundle

Whether you’re learning to code for work or you just want to pick up a new hobby and start automating your tasks or building ...
the-decoder

Google's NotebookLM now runs its own cloud computer with code execution and agent-based research

Google has overhauled NotebookLM. The AI research tool now runs on Gemini 3.5 Flash and Google's coding tool Antigravity. Each notebook gets its own cloud computer that can write and run code, with ...
CNN

Scientists are cracking the code of interspecies communication. Is that a good thing?

In the Karoo, South Africa’s vast semidesert, an African striped mouse basks in the morning warmth outside the bush it calls home. Nearby, audio equipment casts a long shadow on the rust-colored earth ...
NPR

New research helps explain how human brains are able decode speech so quickly

Scientists are learning how the brain extracts discrete words from a continuous stream of sounds. UNIDENTIFIED PERSON #1: (Speaking Japanese). SUMMERS: Unless you speak Japanese, that probably sounded ...
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

Speech Imagery Decoding Using EEG Signals and Deep Learning: A Survey

Abstract: Speech imagery (SI)-based brain–computer interface (BCI) using electroencephalogram (EEG) signal is a promising area of research for individuals with severe speech production disorders.
GitHub

Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads

[2024/1] Medusa technical report is now available on arXiv. We've added multiple new features, including Medusa-2 recipe for full-model training, self-distillation for adding Medusa to any fine-tuned ...
GitHub

SED: A Simple Encoder-Decoder for Open-Vocabulary Semantic Segmentation

We propose an encoder-decoder for open-vocabulary semantic segmentation comprising a hierarchical encoder-based cost map generation and a gradual fusion decoder. We introduce a category early ...