AI Technology & Industry Review
On November 10, Meta (formerly known as Facebook) announced a partnership with another tech giant Microsoft to integrate its work app Workplace with Microsoft’s work-focused social network and collaboration software Teams.
A team from Facebook and Google has proposed LazyTensor — a technique for targeting domain-specific compilers without sacrificing define-by-run ergonomics.
In a new paper, researchers from Max Planck Institute for Informatics and Facebook Reality Labs propose an end-to-end trainable method that enables re-rendering of humans from one single image.
Facebook’s new model enables free-viewpoint rendering of dynamic scenes in a single video.
A new Facebook AI and CMU renewable energy storage project could enable labs to perform days of electrocatalyst screening and calculations in just seconds.
It was announced yesterday in a PyTorch blog post that the PyTorch / XLA library, a package that enables PyTorch to connect to Google TPUs and use TPU cores as devices, is now generally available on Google Cloud, with support for a broad set of entry points for developers.
Facebook AI researchers and engineers just made live video content more accessible by enabling automatic closed captions for Facebook Live and Workplace Live.
Researchers introduced a novel flow-based video completion algorithm that compares favourably with the state-of-the-art in the field.
Facebook has introduced a model that turns common two-dimensional pictures into 3D photos.
Researchers have developed a new technique for self-supervised training of convolutional networks used for image classification and other computer vision tasks.
Facebook and Kaggle are facing an online backlash after the apparent winners of the Deepfake Detection Challenge (DFDC) were disqualified.
A team of researchers from Facebook and UC Berkeley has proposed a new paradigm for computer vision.
Researchers from the University of Washington, Virginia Tech and Facebook have introduced an algorithm that can reconstruct dense, geometrically consistent depth for all pixels in monocular videos.
This is the first chatbot to blend a diverse set of conversational skills — including empathy, knowledge, and personality — together in one system.
In a bid to simplify 3D deep learning and improve processing performance and efficiency, Facebook recently introduced an open-source framework for 3D computer vision.
FAIR as now open-sourced PySlowFast, along with a pretrained model library and a pledge to continue adding cutting-edge resources to the project.
At NeurIPS 2019 this week Facebook unveiled its Deepfake Detection Challenge (DFDC), along with a new deepfake-specific dataset containing more than 100,000 videos.
Synced surveyed last week’s crop of machine learning papers and identified seven that we believe may be of special interest to our readers.
The latest version, PyTorch 1.3, includes PyTorch Mobile, quantization, and Google Cloud TPU support. The release was announced today at the PyTorch Developer Conference in San Francisco.
“Adversaries and strategic competitors probably will attempt to use deep fakes or similar machine-learning technologies to create convincing — but false — image, audio, and video files to augment influence campaigns directed against the United States and our allies and partners.”
Synced Global AI Weekly September 8th
In collaboration with Partnership on AI, Microsoft, and academics from top universities, Facebook today announced the Deepfake Detection Challenge (DFDC) with the aim of finding innovative deepfake detection solutions to help the media industry spot videos that have been morphed by AI models.
Synced Global AI Weekly August 18th
A team of researchers from the Georgia Institute of Technology, Facebook AI Research and Oregon State University has proposed ViLBERT (Vision-and-Language BERT), a novel model for visual grounding that can learn joint representations of image content and natural language.
Synced Global AI Weekly July 14th
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.
Facebook published a blog article demonstrating their newly developed code search tool, Neural Code Search (NCS).
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.
In a bid to provide a smoother reproduction experience, Facebook has announced the beta release of PyTorch Hub, a new pretrained model repository designed to facilitate research reproducibility testing.
Synced Global AI Weekly May 26th
Facebook announced today that it is open-sourcing Pythia, a deep learning framework for vision and language multimodal research framework that enables researchers to “more easily build, reproduce, and benchmark AI models.”
Researchers from the University of Washington, MIT, and Facebook Realty Lab recently proposed the novel deep representation method “DeepSDF” to study 3D object generation.
Designing accurate and efficient CNNs for mobile devices is challenging due to the large design space and expensive computational methods. Although many mobile CNNs are available for developers to train and deploy to mobile devices, existing CNN architecture may not be able to achieve the best results for some tasks on mobile devices.
Synced Global AI Weekly April 21st
Facebook AI Research has announced it is open-sourcing PyTorch-BigGraph (PBG), a tool that can easily process and produce graph embeddings for extremely large graphs. PBG can also process multi-relation graph embeddings where a model is too large to fit in memory.
Synced Global AI Weekly April 7th
10 AI News You Must Know From March W1 – W2
Zion is the company’s next-generation, large-memory unified training platform; Kings Canyon is an integrated circuit optimized for AI inference; and Mount Shasta is a specialized ASIC for video transcoding.
Facebook AI Infrastructure Director Yangqing Jia is leaving his position with the company, a person familiar with the matter told Synced. The Facebook team confirmed his departure yesterday.
Facebook AI Research (FAIR) introduced their own Go bot last year, aiming to reproduce AlphaGo Zero results using their Extensible, Lightweight Framework (ELF) for reinforcement learning research. FAIR recently added new features to ELF OpenGo and has open-sourced the project.