AI Technology & Industry Review
Google AI researchers developed a sign language detection model for video conferencing applications that can perform real-time identification of a person signing as an active speaker.
Google AI has announced a new audiovisual speech enhancement feature in YouTube Stories (iOS) that enables creators to make better selfie videos by automatically enhancing their voices and reducing noise.
MediaPipe Iris, a novel machine learning model designed to deliver accurate iris estimation without using depth sensors.
In a recent Google AI team blog post, researchers report on recent efforts and progress in the field of language translation, especially with resource-poor languages.
One of a new breed of open-domain chatbots designed to engage in conversations across any topic, Meena’s free and natural conversational abilities are closing the gap on human performance.
Google has now released a major V2 ALBERT update and open-sourced Chinese ALBERT models.
As global AI development and deployment continues, the demand for AI talents is growing faster than ever. A number of industry leaders and reputable institutions offer AI residency programs designed to help nurture promising AI talents.
Tech giant Google’s recent claim regarding quantum supremacy created a buzz in the computer science community and got global mainstream media talking about quantum computing breakthroughs.
Frame-by-frame fine-grained labeling is however a time-consuming task. To tackle this problem, researchers from Google AI and DeepMind have introduced a novel self-supervised learning method called Temporal Cycle-Consistency Learning (TCC).
Since Google Research introduced its Bidirectional Transformer (BERT) in 2018 the model has gained unprecedented popularity among researchers. Now, a group of researchers from the National Cheng Kung University Tainan in Taiwan are challenging BERT’s efficacy.
Commercial research labs run by Google Research, DeepMind, and OpenAI are taking central stage in the artificial intelligence era. The eye-popping achievements of these massively-funded AI labs are constantly producing headlines in tech journals and even mainstream media.
Might there be a more efficient approach to scaling up CNNs to improve accuracy? Researchers from Google AI say “yes” and have proposed a new model scaling method in their ICML 2019 paper EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks.
Google AI has introduced a deep learning based approach that generates depth prediction from videos where both camera and subject are in motion.
Google AI yesterday released its latest research result in speech-to-speech translation, the futuristic-sounding “Translatotron.”
10 AI News You Must Know from May W 1 – W 2
Traditional methods used to estimate 3D structure and camera motion in videos rely heavily on manual assumptions such as continuity and planarity. Google researchers have now presented an alternative deep learning method which is able to obtain these assumptions from unlabelled video.
This morning the NAACL 2019 conference committee announced its best paper awards. Synced has prepared a summary of the winning papers.
To make ML-based solutions available for a wider variety of deployment scenarios, Waymo’s autonomous driving team has collaborated with Google AI Brain Team researchers on a system that automates the creation of high quality and low latency neural networks on existing AutoML architectures.
Synced Global AI Weekly December 9th
Google AI lead Jeff Dean recently posted a link to his 1990 senior thesis on Twitter, which set off a wave of nostalgia for the early days of machine learning in the AI community. Parallel Implementation of Neural Network Training: Two Back-Propagation Approaches may be almost 30 years old and only eight pages long, but the paper does a remarkable job of explaining the methods behind neural network training and the modern development of artificial intelligence.
Over the past three months, criticism and protests have been mounting over Google’s participation in Project Maven, a Pentagon pilot program to build machine learning models to detect and categorize objects in drone footage provided by the US Department of Defense.
Now Google has introduced a surprising new use for retinal images: combined with artificial intelligence, they can also predict a patient’s risk of heart attack or stoke…