NVIDIA Pockets ARM for $40 Billion Unveiling the Biggest Chip Company M&A
On September 13th, NVIDIA announced the acquisition of UK-based semiconductor startup ARM for US$40 billion, unveiling the largest acquisition dealContinue Reading
Category: AI
Global machine intelligence updates.
Facebook One-Shot, On-Device Model Efficiently Transforms Smartphone Pics Into 3D Images
Facebook has introduced a model that turns common two-dimensional pictures into 3D photos.
Beijing Builds 100km Highway Lanes for Self-Driving Cars with Unmanned Machineries
Jingxiong highway, a highway with designated lanes for unmanned vehicles, is expected to be completed by the end of this year and open to traffic in June 2021.
The Chinese Government Restricts AI Technology Exports to Stop the Selling of TikTok
On August 28, China’s Ministry of Commerce and Ministry of Science and Technology released the new updated version of the Catalogue of Technologies Prohibited and Restricted from Export.
Elon Musk’s Neuralink Demos Brain-Computer Link in Live Pigs
Last Wednesday, Elon Musk caught the AI community’s attention with a tweet announcing an upcoming “Live webcast of working @Neuralink device…” On Friday, the billionaire tech entrepreneur delivered. With pigs.
ECCV 2020 Best Paper Award Goes to Princeton Team
The 16th European Conference on Computer Vision (ECCV) kicked off on Sunday as a fully online conference. In the Conference Opening Session this morning, the ECCV organizing committee announced the conference’s paper submission stats and Best Paper selections.
CUHK & Facebook Demonstrate SOTA Monocular 3D Hand Motion Capture Method ‘FrankMocap’
Researchers from The Chinese University of Hong Kong, Facebook Reality Labs, and Facebook AI Research have unveiled a state-of-the-art monocular 3D hand motion capture method, FrankMocap, which can estimate both 3D hand and body motions from in-the-wild monocular inputs with faster speed and better accuracy than previous approaches.
Love-Love: Stanford Researchers Generate Realistic ‘Fake’ Wimbledon
A Stanford University research team has responded with an AI-powered model capable of realistically simulating a Wimbledon final and more.
NeurIPS Paper Reviews Released, Controversies Resurface
The NeurIPS 2020 paper reviews were sent out last Friday, starting the author response phase.
How Smart is BERT? Evaluating the Language Model’s Commonsense Knowledge
Researchers dive deep into the large language model to discover how it encodes the structured commonsense knowledge it leverages on downstream commonsense tasks.
Introducing Holicity: A City-Scale Dataset for Learning Holistic 3D Structures
HoliCity, a city-scale dataset and all-in-one data platform for research into learning abstracted high-level holistic 3D structures derived from city CAD (computer-aided design) models.
Tour the World From Your Couch: Google ‘NeRF-W’ Delivers Accurate 3D Scene Reconstruction of Complex Outdoor Environments
Google researchers have introduced a series of extensions to the SOTA view-synthesis method Neural Radiance Fields (NeRF) that enable it to produce high-quality 3D representations of complex scenes with only unstructured image collections as input.
AI-Powered Smart Cameras Help You Maintain a Long-Distance Relationship …With Your Pet
Thanks to the rapid development of artificial intelligence (AI) techniques and Internet of things (IoT) devices, many additional functions have been added to make the parent-pet connection stronger.
Preferred Networks Releases Optuna v2.0
Open-source library for machine learning now gives the ability to evaluate which hyperparameters most affect performance.
Eyes on Me: Google AI ‘MediaPipe Iris’ Improves Iris Tracking and Distance Estimation
MediaPipe Iris, a novel machine learning model designed to deliver accurate iris estimation without using depth sensors.
Pixel2Style2Pixel: Novel Encoder Architecture Boosts Facial Image-To-Image Translation
Researchers from Penta-AI and Tel-Aviv University introduce a generic image-to-image translation framework dubbed Pixel2Style2Pixel (pSp).
SIAT Researchers Design Novel Deep Learning System to Assess Skeletal Maturity
Researchers introduced an ensemble-based deep learning pipeline to automatically assess the distal radius and ulna (DRU) maturity from left-hand radiographs.
ArXiv’s 1.7M+ Research Papers Now Available on Kaggle
ArXiv announced that all of its research papers are now available on Kaggle.
DeepMind & Google Explore Hyperparameter Selection for Offline RL
Researchers conducted a thorough empirical study of hyperparameter selection for offline RL, aiming to identify and develop more reliable and effective approaches.
Unselfie Turns Arm-Extended Selfies into Neutral-Pose Portraits
“Unselfie,” a novel photographic transformation model that can automatically translate selfies into neutral-pose portraits.
AI Generator Learns to ‘Draw’ Like Cartoonist Lee Mal-Nyeon in Just 10 Hours
A Seoul National University Master’s student and developer has trained a face generating model to transfer normal face photographs into cartoon images in the distinctive style of Lee Mal-nyeon.
As Its GPT-3 Model Wows the World, OpenAI CEO Suggests ‘the Hype Is Way Too Much’
OpenAI’s 175 billion parameter language model GPT-3 has gone viral once again.
Google ‘BigBird’ Achieves SOTA Performance on Long-Context NLP Tasks
BigBird is shown to dramatically improve performance across long-context NLP tasks, producing SOTA results in question answering and summarization.
Applying Linearly Scalable Transformers to Model Longer Protein Sequences
Researchers proposed a new transformer architecture called “Performer” — based on what they call fast attention via orthogonal random features (FAVOR).
AI-Powered ‘Genderify’ Platform Shut Down After Bias-Based Backlash
Genderify is an AI-powered tool designed to identify a person’s gender by analyzing their name, username or email address.
Preferred Networks Releases PFRL Deep Reinforcement Learning Library for PyTorch Users
PFRL succeeds ChainerRL as comprehensive library with cutting-edge deep reinforcement learning algorithms and features.
MLPerf Training v0.7 Results Released: Google & NVIDIA Lead the Race
The industry-standard MLPerf benchmark today released the results of the third round of its ongoing ML Training Systems competition.
Google Proposes Lasso Algorithm Variant for Learning Convolutions: ‘Bridging the Gap Between Fully-Connected and Convolutional Nets’
Unlike previous work that suggested fully-connected networks can only deliver subpar performance, Neyshabur’s experiments showed a significant performance jump.
New White-Box Framework Will Cartoonize Your World
This framework can generate high-quality cartoonized images with much-improved controllability.
Adobe and Stanford Unveil SOTA Method for Human Pose Estimation
The researchers say the approach produces motions that are visually and physically much more plausible than state-of-the-art methods.
Chinese Search Specialist Sogou Receives Tencent Buyout Offer
Chinese tech giant Tencent has proposed to acquire all of the Sogou’s outstanding ordinary shares for a cash price of US$9 per share.
Medical Image Computation and the Application
The process of applying machine learning methods in medical image analysis is called medical image computation. This post will introduce SIAT’s work in medical image synthesis, classification, and segmentation.
DeepMind’s AlignNet Learns Stable Object Representations Across Time
New research from UK based AI company and research lab DeepMind is enabling AI agents to perceive dynamic real-world environments more like humans do.
Microsoft & MIT Apply Adversarially Robust Models for Better Transfer Learning
Despite being less accurate on ImageNet, adversarially robust neural networks can match or improve their standard counterparts’ transfer performance.
Joint Spatial-Temporal Transformation Learning Boosts Video Inpainting Performance
Researchers introduce a joint Spatial-Temporal Transformer Network (STTN) to tackle such video inpainting challenges.
Facebook & Inria Propose High-Performance Self-Supervised Technique for CV Tasks
Researchers have developed a new technique for self-supervised training of convolutional networks used for image classification and other computer vision tasks.
Automating Machine Learning: Google AutoML-Zero Evolves ML Algorithms From Scratch
Google researchers propose an “AutoML-Zero” approach designed to automatically search for machine learning (ML) algorithms from scratch, requiring minimal human expertise or input.
Meet ByteDance AI’s Xiaomingbot: World’s First Multilingual and Multimodal AI News Agent
Researchers from ByteDance AILab and Shanghai Jiao Tong University have introduced Xiaomingbot, a multilingual and multimodal news reporter.
Fujitsu Develops World’s First AI technology to Accurately Capture Characteristics of High-Dimensional Data Without Labeled Training Data
Fujitsu has developed the world’s first AI technology that accurately captures the characteristics of high-dimensional data without labeled training data.
Google Bridges Domain Gaps in Semantic Segmentation of LiDAR Point Clouds
A team of Google researchers recently proposed a novel “complete and label” domain adaptation approach.