AI Technology & Industry Review
Global machine intelligence updates.
Researchers from Carnegie Mellon University and Google Brain have now proposed an unsupervised data augmentation (UDA) technique that significantly improves semi-supervised learning (SSL) by conducting data augmentation on unlabeled data.
The developers behind TabNine have introduced a new deep learning model, “Deep TabNine,” which significantly improves suggestion quality.
Researchers from Baidu Research, the University of Michigan, and the University of Illinois at Urbana-Champaign have published a method for generating adversarial objects that can befuddle the LiDAR point cloud and compromise security in vehicles using the tech.
Two years ago Elon Musk launched a company called Neuralink. Musk already leads high-profile companies including Tesla, SpaceX, and Hyperloop, but Neuralink may be the 48 year-old entrepreneur’s most ambitious plan yet: to surgically connect human brains with artificial intelligence through an ultra high bandwidth brain-machine interface.
he rapid development of AI models such as variational autoencoders (VAE) and generative adversarial networks (GAN) that can generate audio, images and video has opened a Pandora’s box of digital fakery.
Have you ever shot a perfect video only to have it spoiled by an unsightly pedestrian, truck or other moving object passing through the frame? Although most people know how to crop or photoshop their photos to remove unwanted stuff, doing so with video is another matter entirely.
Carnegie Mellon University researchers have made another leap in the field with their Joint Language-to-Pose (JL2P) model, which generate animations from text input via a joint multimodal space comprising language and poses.
Although there are many means for identifying and locating a missing person — police and amber alerts, photos and biometrics such as fingerprints and even facial recognition — few of these resources are available for finding a lost dog, and about 75 percent of dogs in the USA are not microchipped.
Synced Global AI Weekly July 14th
Although natural language processing (NLP) has been around for decades, the recent and rapid rise of deep learning algorithms together with the increasing availability of massive amounts of text data are creating new and appealing opportunities for the tech across many industry sectors, including in the investment world.
Last month, Harvard Microrobotics Lab researchers introduced RoboBee X-Wing, a solar-powered micro-aerial vehicle that fits in the palm of your hand.
Artificial intelligence is having a revolutionary effect on industrial production. In the following article, Baidu Ventures Partner and Founder of Comet Labs Saman Farid shares his thoughts on recent changes and future trends in Machine learning-driven production philosophies and technologies.
Don’t simply “all in” if there’s a bot at your Texas hold’em poker table, because Facebook and Carnegie Mellon University’s new *Pluribus* AI system just beat five human pros at the same time — including a couple of World Series of Poker Champs.
Forerunners Google and NVIDIA announced today that they have set new AI training time records on the MLPerf benchmark competition.
Blizzard Entertainment, the American video game developer and publisher behind the StarCraft series, announced that AlphaStar will join the competitive ladder in Europe on the online gaming platform Battle.net, where it will play a limited number of games against human players.
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.
Leading UK AI research company DeepMind has now proposed “BigBiGAN” (not BigBigGAN, but BigBiGAN), which achieves state-of-the-art results in both unsupervised representation learning on ImageNet and in unconditional image generation.
If you are a developer who has ever wished for a rich collection of machine learning algorithms implemented exclusively in NumPy, then you’ll love Numpy-ml — a new GitHub project that’s winning accolades from across the global machine learning community.
At last month’s RE•WORK Applied AI Summit 2019 in San Francisco, AI experts from Uber and Lyft shared insights on how the companies are leveraging machine learning algorithms to improve their services for both riders and drivers.
A group of researchers from the Chinese University of Hong Kong, Harbin Institute of Technology and Tencent have proposed a method to create such cartoon faces from photos of human faces via a novel CycleGAN model informed by facial landmarks.
Synced Global AI Weekly July 7th
Artificial intelligence is changing the operation modes of industrial production, and has become one of the key tools in the new era of global manufacturing.
The global cosmetic products market is expected to climb to US$863 billion in 2024 — an impressive CAGR of above 7 percent.
In common reinforcement learning (RL) domains, existing keypoint discovery methods struggle to perceive keypoints in an image when there are limited objects present.
Baidu’s homegrown deep learning framework PaddlePaddle will empower Huawei’s Kirin smartphone chips, the company announced at the Baidu Create 2019 AI Developer Conference that kicked off today in Beijing.
A Reddit post has triggered discussions regarding a patent Google filed on Dropout supposedly becoming active last week.
MIT and Brown have now upgraded the Northstar platform with an AutoML-based component called Virtual Data Scientist (VDS), which helps users generate machine learning models to run prediction tasks on datasets.
Facebook published a blog article demonstrating their newly developed code search tool, Neural Code Search (NCS).
Synced Global AI Weekly June 30th
In the late 2000s Fortune Global 500 healthcare companies ramped up AI deployment in the industry, from in-hospital diagnosis and treatment to drug supply chain and out-of-hospital scenarios.
Just two days after a story on Motherboard went viral, developers of the “DeepNude” AI-powered software that enables users to virtually disrobe images of women have announced they are shutting down the website and the free and premium versions of the app they launched in March.
Parsing fine-grained temporal actions is vital in application scenarios that require an understanding of detailed and precise operations over long-term periods, such as daily activity understanding, surgical robots, human motion analysis and animal behavior analysis.
While it is exhilarating to see AI researchers pushing the performance of cutting-edge models to new heights, the costs of such processes are also rising at a dizzying rate.
In 2017 the “Godfather of Deep Learning” Geoffrey Hinton and his students Sara Sabour and Nicholas Frosst proposed the discrimininatively trained, multi-layer capsule system “CapsNet” in their paper Dynamic Routing Between Capsules.
Facebook AI research team show how they trained a large convolutional network to predict hashtags on some 3.5 billion social media images. The research returned a state-of-the-art top-1 accuracy result of 85.4 percent on ImageNet.
Researchers from Microsoft and JD AI Labs have proposed Object-driven Attentive Generative Adversarial Networks (Obj-GAN) a new model capable of generating relatively complex scenes based on a short phrase or sentence of descriptive text.
A team of researchers from Carnegie Mellon University and Google Brain have now proposed XLNet, a new language model which outperforms BERT on 20 language tasks including SQuAD, GLUE, and RACE; and has achieved SOTA results on 18 of these tasks.
Synced Global AI Weekly June 23th
The traditional retail industry is undergoing a significant reinvention and upgrade as more and more brick and mortar stores boost business by adopting e-commerce platforms powered by cutting-edge tech.
At Huawei’s Nova 5 Series smartphone launch event yesterday the Chinese tech giant unveiled its new 7nm SoC, the Kirin 810.