patsnap PatSnap Raises $300M to Boost AI-Powered Patent and R&D Platform PatSnap secures $300 million in Series E funding led by SoftBank Vision Fund 2 and Tencent Investment to expand its AI-driven patent intelligence platform. The capital supports global workforce expansion and software development as companies struggle with declining R&D productivity.
facebook Facebook Develops Self-Supervised AI System to Learn Without Human Labels Facebook's AI research division creates SEER, a billion-parameter computer vision model that learns from random, unlabeled images without human curation.
tensorflow 3d Google Releases TensorFlow 3D Library for Advanced Spatial Perception Google introduces TensorFlow 3D, a new library that extends the TensorFlow framework with specialized tools for 3D deep learning and scene understanding. The release targets critical autonomous driving applications like 3D object detection and point cloud registration.
google Google Releases TensorFlow 3D for Advanced Autonomous Vehicle Perception Google introduces TensorFlow 3D, a new library that extends the TensorFlow framework with specialized tools for 3D deep learning. The release targets complex autonomous driving challenges like 3D object detection and point cloud processing.
google Google Releases TensorFlow 3D for Autonomous Vehicle Perception Google introduces TensorFlow 3D, a new library that brings 3D deep learning capabilities to the popular machine learning framework to improve autonomous vehicle perception. The library provides state-of-the-art models for 3D object detection and point cloud registration.
nvidia Nvidia and Harvard AI Toolkit Slashes Genome Analysis Time and Cost A new AI tool called AtacWorks dramatically accelerates genome analysis by producing high-quality results from tiny cell samples in under 30 minutes. The breakthrough significantly lowers the cost barrier for rare and single-cell experiments.
workfusion WorkFusion Secures $220M to Expand AI-Powered Enterprise Automation WorkFusion raises $220 million to accelerate customer acquisition and grow its workforce as demand for intelligent process automation surges. The company uses AI and cloud-federated bots to automate document-heavy tasks in regulated industries.
nvidia NVIDIA and Harvard Build AI Toolkit to Enhance Genome Sequencing Accuracy Researchers from NVIDIA and Harvard University introduce AtacWorks, a deep learning toolkit that improves genome sequencing by filtering out noise from small cell samples. This PyTorch-based convolutional neural network delivers high-quality results faster than traditional methods.
nvidia NVIDIA and Harvard Build AI Toolkit to Enhance Genome Sequencing NVIDIA and Harvard University researchers introduce AtacWorks, a deep learning toolkit that improves genome sequencing by cleaning noisy data. This CNN-based tool allows scientists to achieve high-quality results using significantly fewer cells than traditional methods require.
hugging face Hugging Face Secures $40 Million to Expand Popular NLP Library AI startup Hugging Face raises a $40 million Series B round to grow its widely used open-source natural language processing library. The company currently supports 5,000 organizations and operates as a cash-flow positive business.
microsoft Microsoft Azure Percept Kit Brings Easy Edge AI to Developers Microsoft introduces the Azure Percept platform, a combined hardware and cloud service solution designed to streamline edge AI development. The starter development kit integrates vision and audio modules with Azure's robust machine learning tools.
reinforcement learning Reinforcement Learning Framework Enables Robust Walking in Bipedal Robots Researchers develop a model-free reinforcement learning method that trains robust locomotion policies in simulation and successfully transfers them to the real Cassie bipedal robot.
meta Meta Unveils DINO for Unsupervised Computer Vision Object Segmentation Meta introduces DINO, a self-supervised Vision Transformer method that achieves state-of-the-art computer vision results while automatically segmenting objects without any labeled data or specific segmentation objectives.
vision transformers Self-Supervised Vision Transformers Reveal Surprising New Capabilities Researchers introduce DINO, a self-supervised method that gives Vision Transformers unique properties like explicit semantic segmentation without labels. The approach achieves 80.1% top-1 accuracy on ImageNet using linear evaluation.
facebook Facebook Trains Billion-Parameter Image AI Using One Billion Unlabeled Instagram Photos Facebook develops SEER, a massive computer vision model that partly teaches itself by grouping one billion public Instagram images before fine-tuning on labeled data.