A year has passed since DeepSeek demonstrated that powerful models can be created without billion-dollar budgets – and the industry hasn't been the same since.
The Elastic platform has acquired a built-in automation system, the ability to ask data questions in plain language, and a tool for quickly assembling AI agents.
NeuroBlog
How ChatGPT is Heating Up the Planet: An AI Conscience Crash Test
Artificial intelligence • Ecology
Every query to a neural network adds to our carbon footprint. We dive into how much energy AI models truly consume and whether it's possible to save the planet without abandoning our favorite bots.
Hugging Face has introduced Daggr – an open-source tool that helps assemble chains of AI models and visually track their internal processes.
The Chinese text recognition model has been adapted for AMD GPUs – we break down what this means for those working with documents.
AI: Events
Trinity Large: What's Inside and Why Arcee Released Three Versions of the Same Model
Technical context • Products
We dive into how Trinity Large from Arcee AI works as a new language model with a sparse architecture and three checkpoints to choose from.
Cursor found a way to speed up the indexing of large codebases by safely reusing indexes created by colleagues, reducing the time from hours to seconds.
Lab
Making One Network Work for Two: A Pragmatic Solution for Radar and Communications
Electrical Engineering & System Sciences
A new resource allocation scheme allows cellular networks to simultaneously transmit data and detect objects without sacrificing either speed or accuracy. This opens the way for integrated sixth-generation systems.
Microsoft has revealed its second-generation in-house AI chip, designed specifically for running trained models rather than training them.