Synced Tradition and Machine Learning Series | Part 2: Optimization Basics
This is the second in a special Synced series of introductory articles on traditionally theoretical fields of studies and their impact on modern-day machine learning.
AI Technology & Industry Review
This is the second in a special Synced series of introductory articles on traditionally theoretical fields of studies and their impact on modern-day machine learning.
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.
According to reports on January 20, South Korea’s Gwangju is adopting integrated AI technology to help with city governance.
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).
A Nepalese machine learning (ML) researcher has introduced a handy browser extension that lets users directly access videos related to research papers published on the popular preprint platform arXiv.
According to a report from Reuters, the Trump administration has notified Intel among others, that their supplier licenses to Chinese telecommunication giant Huawei have been revoked.
Kuzi is using satellite data, soil sensor data, ground meteorological observation and machine learning technology trained on predict the locusts’ breeding, appearance and migration routes.
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.
The German Federal government and the State of Baden-Württemberg pledged new AI funding schemes for an “AI breakthrough hub”.
South Korea’s Seodaemun-gu will expand the number of “artificial intelligence (AI) caregiver service” target from 200 to 450 from next month.
Researcher from Toyota Research Institute announce joint efforts with Stanford’s Dynamic Design Lab, to research on automotive safety improvements.
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.
This is the fourth Synced year-end compilation of “Artificial Intelligence Failures.” Our aim is not to shame nor downplay AI research, but to look at where and how it has gone awry with the hope that we can create better AI systems in the future.
As part of our year-end series, Synced has compiled a global list of proposals, rules and regulatory frameworks for AI introduced in 2020.
A new machine translation method enables global manga fans to enjoy immediate translations of their favourite Japanese comics.
As part of our year-end series, Synced highlights 10 AI-powered efforts that contributed to the fight against COVID-19 in 2020.
Synced has invited Mr. Sheldon Fernandez to share his insights about the current development and future trends of artificial intelligence.
At the Wave Summit 2020 held on December 20, Baidu unveiled the company’s newest ML-based bio-computing framework named “PaddleHelix”.
Graphcore has announced that it has raised USD 222 million in a Series E funding round that will boost company value to USD 2.77 billion.
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.
At Crown Coffee, a small-yet-homey coffee bar in downtown Singapore, the autonomous robot barista “Ella” never gets your order wrong.
Porsche Digital, the subsidiary of the Stuttgart-based sports car manufacturer, has unveiled digital assistant ‘Sounce’ offers an improved ability to detect noise – for example, during vehicle component tests.