AI Technology & Industry Review
Technical review of the newest machine intelligence research.
This paper is the first to systematically study the security of Multi-Sensor Fusion (MSF) based localization in high-autonomy Autonomous Vehicles (AVs). Researchers design FusionRipper, a novel and general attack that opportunistically captures and exploits take-over vulnerabilities.
Researchers from Drexel University, Northeastern University and IT University Copenhagen explore how humans interact with AI in such contexts, with a focus on computer games.
In a new paper, Stanford University researchers dispel the assumption that boosting deep learning model performance on ImageNet translates to better performance on medical imaging tasks.
Synced invited Dr. Linchao Zhu, a lecturer at the ReLER lab, University of Technology Sydney whose works focus on video representation learning, to share his thoughts on the paper Text-to-Image Generation Grounded by Fine-Grained User Attention.
On January 18, in efforts to understand and manage extreme weather events, McGill University announced a new interdisciplinary project to combine deep learning (DL) with social network analysis (SNA).
Researchers from the University of Texas, Austin have proposed a novel framework called Training-Free Neural Architecture Search (TE-NAS) for “training-free” neural architecture search.
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.
A paper in the Journal of Artificial Intelligence Research goes a step further, warning that it could become fundamentally impossible to control a superintelligent AI.
Google Brain’s Switch Transformer language model packs a whopping 1.6 trillion parameters while effectively controlling computational cost. The model achieved a 4x pretraining speedup over a strongly tuned T5-XXL baseline.
Of the 2997 submissions, 860 papers have made it to ICLR 2021, for an acceptance rate of 28.7 percent — slightly higher than last year’s 26.5 percent.
Recent AI research on speech separation has explored ways to associate lip motions in videos with audio, but this approach suffers when speakers’ lips are occluded, which they often are in busy multi-speaker environments.
VOGUE, an AI-powered optimization method that deforms garments according to a given body shape while preserving pattern and material details to deliver state-of-the-art photorealistic, high-resolution try-on images.
AI’s acceleration of scientific discoveries continues - last month DeepMind’s AlphaFold solved a grand challenge in biology, and now an international AI research team has targeted materials science.
Turing Award winner Geoffrey Everest Hinton spoke about his recent research, his quest to understand learning in the brain and why he sees unsupervised learning as the future of AI.
Researchers propose a novel framework and hierarchical predictive model that learns to identify what is predictable from unlabelled video.
A new model surpassed human baseline performance on the challenging natural language understanding benchmark.
Synced has invited Mr. Brian Tse to share his insights about the current development and future trends of artificial intelligence.
OpenAI has trained a neural network called DALL·E that creates images from text captions for a wide range of concepts expressible in natural language.
The novel approach tackles dynamic 3D human-body synthesis from a sparse set of camera views, bettering existing methods on key metrics by significant margins.
Researchers proposed PGDrive, a driving simulator designed to evaluate and improve end-to-end driving agents’ generalization abilities.
Synced has invited Mr. Tatsuya Nagata, the COO of Navier Inc., to share his insights about the current development and future trends of artificial intelligence.
Synced has invited Prof. Johan A.K. Suykens to share his insights about the current development and future trends of artificial intelligence.
A new machine translation method enables global manga fans to enjoy immediate translations of their favourite Japanese comics.
Synced has invited Mr. Sheldon Fernandez to share his insights about the current development and future trends of artificial intelligence.
Researchers from Vector Institute, University of Toronto and Google Brain recently studied three common types of intrinsic motivation across seven agents, three Atari games, and the 3D game Minecraft.
Synced has invited Dr. Viral B. Shah to share his insights about the current development and future trends of artificial intelligence.
Researchers from Tsinghua University have developed an AutoML framework and toolkit specifically designed for graph datasets and tasks.
Synced has invited Prof. Jürgen Schmidhube to share his insights about the current development and future trends of artificial intelligence.
Synced has compiled a list of nonfiction books that notable AI researchers and engineers have recommended on Twitter over the last 12 months.
The four-hour event included three panel discussions: Architecture and Challenges, Insights from Neuroscience and Psychology, and Towards AI We Can Trust.
As part of our year-end series, Synced highlights 10 AI-powered art projects that inspired and entertained us in 2020.
Synced has selected 10 AI-related podcasts for readers to check out over the holiday season.
Researchers combine the effectiveness of the inductive bias in CNNs with the expressivity of transformers to model and synthesize high resolution images.
Rapid and accurate identification of mosquitoes that transmit human pathogens such as malaria is an essential part of mosquito-borne disease surveillance.
In the new paper Canonical Capsules: Unsupervised Capsules in Canonical Pose, Turing Award Honoree Dr. Geoffrey Hinton and a team of researchers propose an architecture for unsupervised learning with 3D point clouds based on capsules.
As part of our year-end series, Synced highlights 10 artificial intelligence papers that garnered extraordinary attention and accolades in 2020.
WILDS is an ambitious benchmark of in-the-wild distribution shifts spanning diverse data modalities and applications.
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.