AI Technology & Industry Review
Technical review of the newest machine intelligence research.
University of Notre Dame and Facebook AI research propose Img2pose, real-time 6DoF 3D face pose estimation without face detection or landmark localization.
This year, 22 Transformer-related research papers were accepted by NeurIPS, the world’s most prestigious machine learning conference. Synced has selected ten of these works to showcase the latest Transformer trends.
Yoshua Bengio and Anirudh Goyal from Mila - Quebec AI Institute delve into human and non-human animal intelligence and how it can inform deep learning.
Organizers of NeurIPS 2020 (Conference on Neural Information Processing Systems) see machine learning as an invaluable tool in the fight against climate change.
SlimGANs can easily change model sizes during runtime to implement quality-efficiency trade-offs based on practical needs.
Looking back at the evolution of deep learning frameworks we can clearly see a tightly coupled relationship between deep learning frameworks and deep learning algorithms.
“Depix” is a new AI-powered tool that can easily undo pixelization to enable recovery of the information therein.
New machine learning powered operations service provides tailored recommendations to improve application availability
This year, NeurIPS is hosting two workshops dedicated to self-supervised learning: Self-Supervised Learning for Speech and Audio Processing on Friday, December 11; and Self-Supervised Learning — Theory and Practice on Saturday, December 12.
CSAIL researchers propose a framework for image reconstruction tasks using the state-of-the-art generative model StyleGAN2.
The new AI-powered Multi-Ingredient Pizza Generator (MPG) can deliver all these mouth-watering pies and many more.
At AWS re:Invent, Amazon Web Services, Inc., an Amazon.com company, announced Amazon Monitron, Amazon Lookout for Equipment, the AWS Panorama Appliance, the AWS Panorama SDK, and Amazon Lookout for Vision.
ImHex’s creator says his trending hex editor is aimed at “Reverse Engineers, Programmers and people that value their eyesight when working at 3 AM.”
NVIDIA blog introduced company’s latest NeurIPS presentation: applying a novel neural network training technique, adaptive discriminator augmentation, to the popular NVIDIA StyleGAN2 model.
Google DeepMind has added Jraph to the JAX ecosystem, the machine learning framework will also appear in a NeurIPS 2020 Spotlight.
OpenAI’s groundbreaking GPT-3 language model paper, a no-regret learning dynamics study from Politecnico di Milano & Carnegie Mellon University, and a UC Berkeley work on data summarization have been named the NeurIPS 2020 Best Paper Award winners.
Max Planck Institute, University of Cambridge and Saarland University initiate two probabilistic approaches designed to achieve algorithmic recourse in practice
AAAI 2021 received a record-high 9034 submissions and over 7911 papers went to review and a total of 1692 papers made it, for an acceptance rate of 21 percent
What if, instead of hard-coding road rules into self-driving algorithms, AI agents were free to come up with their own ways of safely and efficiently sharing the road?
The approach dramatically reduces bandwidth requirements by sending only a keypoint representation [of faces] and reconstructing the source video on the receiver side with the help of generative adversarial networks (GANs) to synthesize the talking heads.
Airbus has developed a new Smart Librarian (SL) FCOM QA system comprising a dialogue engine, retriever (search engine), and QA module.
A Princeton student designed a GAN framework for Chinese landscape painting generation that is so effective most humans can’t distinguish its works from the real thing.
Google’s UK-based lab and research company DeepMind says its AlphaFold AI system has solved the protein folding problem, a grand challenge that has vexed the biology research community for half a century.
This is the first in a special Synced series of introductory articles on traditionally theoretical fields of studies and their impact on modern day machine learning.
Facebook’s new model enables free-viewpoint rendering of dynamic scenes in a single video.
Researchers from the City University of Hong Kong and SenseTime propose a lightweight matting objective decomposition network (MODNet) that can smoothly process real-time human matting from a single input image with diverse and dynamic backgrounds.
The SeLf-trAining framework for Distance mEtric learning (SLADE) framework combines self-supervised learning and distance metric learning methods to improve information retrieval performance.
University of Alberta recently proposed U^2-Net, a novel deep network architecture that achieves very competitive performance in salient object detection.
In EMNLP 2020, a Montreal-based research team introduced a large medical text dataset designed to boost abbreviation disambiguation in the medical domain.
Researchers achieved world-class interface smoothness with a-axis YBa2Cu3O7-x/PrBa2Cu3O7-x/YBa2Cu3O7-x trilayers grown on (100) LaAlO3 substrates.
A new study by South China University of Technology and Tencent WeChat AI researchers is the latest fruitful attempt to utilize transformer architectures in object detection.
A new AI-powered image synthesis framework makes “learning” to moonwalk or drop Blackpink dance moves a snap.
Facebook AI is building an automatic differentiation system for the Kotlin programming language and developing a system for tensor typing.
The Conference on Empirical Methods in Natural Language Processing (EMNLP 2020) kicked off on Monday as a virtual conference.
The CoRL 2020 Best System Paper Award was presented today to Huawei Noah’s Ark Lab, Shanghai Jiao Tong University and University College London for their paper SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving.
Stylized Neural Painter is a novel automatic image-to-painting translation method that generates vivid and realistic artworks in controllable styles
A new DeepMind scalable environment simulator takes a digital approach to the question, enabling the examination of environmental factors on AI agents.
CoRL 2020 kicked off yesterday and runs virtually through November 18. This year saw 475 papers submitted, a 20 percent rise over 2019.
New Spoken Language Understanding (SLU) research from MIT CSAIL and Amazon AI introduces step-skipping semi-supervised frameworks that take speech as input and achieve performance competitive to systems leveraging oracle text.
“Our research provides enriched AR user experiences by enabling a more fine-grained visual recognition feature in AR, which is desirable in a wide range of application scenarios including technical support,” IBM researchers say.