Unite.AI

Deep Cogito Raises $43M Series A to Build the Post-Training Engine for Self-Improving AI

Deep Cogito has raised a $43 million Series A as the San Francisco AI lab looks to scale an increasingly important part of the artificial intelligence stack: what happens after a foundation model has ...

DeepSeek debuts multimodal language model competitive with Opus 4.8

DeepSeek trained V4 Flash on 32 trillion tokens worth of training data. The company used an algorithm called Muon to speed up ...

Nvidia just showed that the harness, not the AI model, is now the real hero

Nvidia research shows that AI agents can perform well, and not go off the deep end, through fine-tuning, even if the AI model ...
Windows Latest

Ubuntu is growing faster on Windows 11 than on native Linux PCs, says Canonical

Ubuntu's VP of Engineering says WSL usage on Windows 11 is growing faster than native Ubuntu installs, and could overtake ...

Python libraries every data scientist should learn

VMPLNew Delhi [India], August 5: Modern data architectures require highly optimized code. A raw Python script cannot process a ten-gigabyte dataset effectively. To solve this problem engineering teams ...
ascopubs.org

Deep Learning of Histopathology Predicts Outcomes After Surgery for Pancreatic Cancer

Clinicogenomic Real-World Data Enable Prediction of Hospital Readmissions at a Comprehensive Cancer Center Publicly available WSI of pancreatic ductal adenocarcinoma resections from three cohorts were ...
Hacker

Your PyTorch Model Is Slower Than You Think: This Is the Reason Why

You moved your model to the GPU. You watched nvidia-smi climb toward 100%. You assumed you were done. You probably aren’t. GPU utilization is a coarse, 100ms-sampled metric. A GPU can report 80% ...
The Lancet

Deep learning model for pathological invasiveness prediction using smartphone-based surgical resection images in clinical stage IA lung adenocarcinoma (SuRImage): a prospective ...

lDepartment of Surgery, Meizhou People’s Hospital, Meizhou, China mDepartment of General Practice, Guangdong Provincial Geriatrics Institute, Guangdong Provincial People’s Hospital (Guangdong Academy ...
GitHub

TurboQuant PyTorch — Implementation + Deep Tutorial

A from-scratch PyTorch implementation of TurboQuant (ICLR 2026), Google's two-stage vector quantization algorithm for compressing LLM key-value caches — enhanced with a comprehensive, research-grade ...
Frontiers

Multi-task deep learning models for mechanism-based prediction of developmental and reproductive toxicity (DART) using ToxCast bioassays

Developmental and reproductive toxicity (DART) testing has traditionally relied on animal studies, which are costly, time-consuming, and ethically constrained. To advance new approach methodologies ...
contemporarypediatrics

Deep learning model accurately predicts childhood myopia risk

A deep learning model using baseline fundus images accurately predicted myopia and high myopia risk in school-aged children More than half of children without myopia at baseline developed the ...
GitHub

PyTorch for Deep Learning Professional Certificate

This repository contains my work from the PyTorch for Deep Learning Professional Certificate offered by DeepLearning.AI. As a BIE/Data Engineer and AI Engineer, this certificate strengthens my deep ...