AI Technology & Industry Review
Google AI recently launched the open-source browser-based toolset “rǝ,” which was created to enable the exploration of city transitions from 1800 to 2000 virtually in a three-dimensional view.
“The Computational Limits of Deep Learning” first author Neil Thompson of MIT says DL’s economic and environmental footprints are growing worrying fast
Pinkney and Adler NeurIPS 2020 workshop paper enables realistic image generation in domains such as animation and ukiyo-e with creative control on the output.
PwC and arXiv jointly announced their partnership yesterday, unveiling a convenient new Code tab on the abstract page of arXiv Machine Learning articles.
ICLR 2021 paper An Image Is Worth 16×16 Words: Transformers for Image Recognition at Scale suggests Transformers can outperform top CNNs on CV at scale.
Researchers introduce an isolated nanoscale electronic circuit element that can perform nonmonotonic operations and transistorless all-analogue computations.
A team from Google, University of Cambridge, DeepMind, and Alan Turing Institute have proposed a new type of Transformer dubbed Performer, based on a Fast Attention Via positive Orthogonal Random features (FAVOR+) backbone mechanism.
Imaginaire, a universal PyTorch library designed for various GAN-based tasks and methods.
Researchers introduced retrieval-augmented generation - a hybrid, end-to-end differentiable model that combines an information retrieval component with a seq2seq generator.
Facebook AI researchers have open-sourced the new wav2vec 2.0 algorithm for self-supervised language learning.
The trimmed-down pQRNN extension to Google AI’s projection attention neural network PRADO compares to BERT on text classification tasks for on-device use.
VR and AR will converge to combine the real and virtual, as Facebook Reality Labs researchers, developers, and engineers aim to change how we see the world.
Synced has identified a few significant technical advancements in the 3D photo field that we believe may be of interest to our readers.
UIUC, Adobe Research and University of Oregon propose HDMatt, a Deep Learning-based image matting Cross-Patch Context module for high-resolution image inputs.
Augmented Temporal Contrast (ATC), a new unsupervised learning (UL) task for learning visual representations agnostic to rewards and without degrading the control policy.
NumPy is the foundation upon which the scientific Python ecosystem is constructed.
Former Uber Chief Scientist and VP for AI Zoubin Ghahramani has joined Google Research as part of the Google Brain team leadership.
Researchers have introduced a novel network architecture for jointly estimating the shape and pose of vehicles even from partial LiDAR observations.
OpenAI researchers introduce GPT-f, an automated prover and proof assistant for the Metamath formalization language.
Novel attention condensers designed to enable the building of low-footprint, highly-efficient deep neural networks for on-device speech recognition on the edge.
Researchers introduce a test covering topics such as elementary mathematics, designed to measure language models’ multitask accuracy.
Although OpenAI hasn’t yet officially announced the GPT-3 pricing scheme, Branwen’s sneak peek has piqued the interest of the NLP community.
DeepMind unveiled a partnership with Google Maps that has leveraged advanced GNNs to improve ETA accuracy.
Nvidia CEO Jensen Huang today unveiled the company’s new GeForce RTX 30 Series GPUs.
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.
Intel Labs researchers have proposed a novel method for building a robot called “OpenBot” on just a US$50 budget.
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.
Researchers argue that “attention mechanism is the update rule of a modern Hopfield network with continuous states.”
Elon Musk tweeted that Tesla is recruiting AI or chip talents for the company’s neural network training supercomputer project “Dojo.”
DeepMind and McGill University researchers believe the problem could be solved through a strategic “divide-and-conquer” approach.
A Stanford University research team has responded with an AI-powered model capable of realistically simulating a Wimbledon final and more.
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.
MediaPipe Iris, a novel machine learning model designed to deliver accurate iris estimation without using depth sensors.
Researchers from Penta-AI and Tel-Aviv University introduce a generic image-to-image translation framework dubbed Pixel2Style2Pixel (pSp).