Hy 2 DL is a python library to create hydrological models for rainfall-runoff prediction using deep learning methods. The repository includes implementations with Large-Sample Hydrology datasets such ...
Job Description Within our Datalab team, we are looking for a junior-level data scientist & software developer with a strong quantitative background and an affinity for geopolitics and national and ...
Ornith 1.0 by DeepReinforce is meant for developers who want AI that finishes the job, not just autocompletes the next line.
DSpark can make decoding faster, but acceptance quality still determines how much speed the system actually realizes.
This repo contains code accompaning the paper, Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks (Finn et al., ICML 2017). It includes code for running the few-shot supervised learning ...
Chinese tech company Meituan officially unveiled LongCat-2.0 on June 30, confirming the open-license, 1.6-trillion-parameter mixture-of-experts AI model is the same system that sp ...
Google’s Nano Banana 2 Lite shows how faster, cheaper AI image generation could reshape creative workflows and business tools. If you can only read one tech story a day, this is it. We use cookies and ...
Microsoft is reportedly preparing thousands of job cuts as AI spending rises, with sales, consulting, and Xbox among the areas expected to be affected. If you can only read one tech story a day, this ...
Burnham says he'll stick to the manifesto - but that there is 'room for movement on tax' Andy Burnham says he'll "stick by" Labour's 2024 general election manifesto "and the promises that it made".
France’s OVHcloud bets on frontier AI as Europe seeks alternatives to US models The company says the cost of training frontier AI models has fallen sharply, but analysts say the bigger challenge may ...
Anthropic's AI Finds Bugs. IBM Bets $5B It Can Fix Them. IBM and Red Hat assign 20,000 engineers to the new Project Lightwell service as Anthropic's Mythos findings ignite debate over how to secure ...
With hardware prices spiraling, AI vendors ramping up token costs, and models becoming drastically slimmer and more economical, running AI models locally isn’t just going to be a good idea whose time ...