AI Technology & Industry Review
With its improved productivity and accuracy and more personalized experience, AI is revolutionizing medical imaging. According to Signify Research, the world market for AI in medical imaging — comprising software for automated detection, quantification, decision support, and diagnosis — will reach US$2 billion by 2023.
Advanced machine learning techniques and the widespread deployment of surveillance cameras have dramatically improved the efficiency and accuracy of human detection systems in airports, train stations, and other sensitive public places. Is this the end of anonymity?
The Conference on Computer Vision and Pattern Recognition (CVPR) is one of the world’s top computer vision (CV) conferences. CVPR 2019 runs June 15 through June 21 in Long Beach, California, and the list of accepted papers for the prestigious gathering has now been released.
The Conference on Computer Vision and Pattern Recognition (CVPR) announced this week they have accepted 1300 research papers for CVPR 2019, which will be held June 16 – 20 in Long Beach, California. This year’s submission and acceptance totals both set records for the world’s premier computer vision conference, which had never before accepted more than 1000 papers.
Welcome to the Year of the Pig! Lunar New Year is China’s biggest holiday, with this year’s celebrations picking up during the “Little Year” period in late January, peaking February 4 for New Year’s Eve, and continuing through February 19.
This is the first installment of the Synced Lunar New Year Project, a series of interviews with AI experts reflecting on AI development in 2018 and looking ahead to 2019. In this article, Synced chats with Clarifai Founder and CEO Matt Zeiler on recent progress in computer vision and his company’s plans for the future. Founded in New York in 2013, Clarifai produces advanced image recognition systems.
A cooperative research group from Facebook and the University of Southern California has introduced an alternative evaluation task for visual-grounding systems: BISON (Binary Image Selection).
A research team from the University of Rochester, University of Illinois at Urbana-Champaign and Adobe Research has proposed a foreground-aware image inpainting system to achieve superior results on challenging cases with complex compositions.
According to Reuters, leading Chinese AI unicorn Megvii Technology (also known as Face++) has begun raising a new round of funding with a target of US$500 million. This would will bring the company’s value to an estimated US$3.5 billion.
ImageNet Pre-training is common in a variety of CV (Computer Vision) tasks, as something of a consensus has emerged that pre-training can help a model learn transferrable information that can be useful for target tasks.
Tencent AI Lab unveiled its new intelligent microscope for pathological analysis yesterday at the Tencent Global Partner Conference in Nanjing. The device represents a huge step in the company’s ongoing commitment to ramp up its R&D in AI + medicine.
In a new paper Durham University researchers introduce a anomaly detection model, GANomaly, comprising a conditional generative adversarial network that “jointly learns the generation of high-dimensional image space and the inference of latent space.” The process enables the model to perform anomaly detection tasks even in sample-poor environments.
The 15th European Conference on Computer Vision (ECCV) kicked off in Munich, Germany on Saturday. In a keynote speech this morning the ECCV organizing committee announced the conference’s paper submission stats and best paper selections.
Beijing-based computer vision unicorn Megvii Technology runs the world’s largest face-recognition technology platform, Face++. The company provides innovative solutions for object detection and image recognition using AI-powered techniques.
Computers are now excellent at recognizing images of human faces, cats and dogs — but struggle when it comes to detecting continuous actions, for example determining if a character in a video might be “dancing the tango.” Computers also fall short in detecting nuanced expressions of human emotions.
Shanghai-based computer vision company Yitu announced today that it has acquired an additional US$100 million in funding, with China Industrial Asset Management as the sole investor this round.
The country is aiming to build the world’s top hub for AI innovations and talents, and yesterday, prestigious Tsinghua University issued a progress report. The 2018 China Artificial Intelligence Development Report provides an insightful, data-intensive overview of the current status of AI in China.
Innoviz is a two-year-old Israeli provider of LiDAR remote sensing solutions. The company took a leap forward in the solid state LiDAR field recently by scoring a couple of important partnerships: BMW chose solid-state Innoviz LiDAR sensors and computer vision tech to enable its Level 3-5 autonomous vehicles in April…
At the recent youth and technology themed 2050 Conference in Hangzhou, Seemmo CTO Jianhui Wang delivered a talk called The Survival Guide for AI Companies.
The 2018 Conference on Computer Vision and Pattern Recognition (CVPR) opened today in Salt Lake City, USA. The CVPR organizing committee used the occasion to announce its coveted Best Paper and Best Student Paper selections.
Chinese computer vision company Yitu announced today that is has secured US$200 million in its C+ funding round, with investments from GC Capital, ICBC International, and SPDB International.
Today it was Apple’s turn to unveil new machine learning tools and software at its 2018 Worldwide Developers Conference (WWDC), which runs June 4-8 at the McEnery Convention Center in San Jose, California..
New York-based AI startup LexSet.ai wants to make furniture shopping as simple and fun as playing a kid’s video game, with an AI-powered plug-in interior designer that “analyzes your home…
Farming is becoming a data-centric business powered by artificial intelligence. China’s big tech firms are using neural network-backed computer vision, wearable devices, and predictive analytics algorithms to reimagine pig, chicken, cow, goose, and cockroach farming.
The Media and Entertainment industry is a cornerstone of contemporary human culture, delivering films, TV shows, advertisements and more in a multitude of languages across a wide variety of devices.
China’s computer vision company SenseTime today announced it had raised a staggering US$600 million in Series C funding, setting a world record for an AI company and bringing its value to an estimated US$4.5 billion to make it the world’s most valued AI startup.
YOLO creators Joseph Redmon and Ali Farhadi from the University of Washington on March 25 released YOLOv3, an upgraded version of their fast object detection network, now available on Github.
Over US$12.5 billion in funding flowed into AI startups in 2017, with Chinese startups receiving 48 percent of that, according to the new CB Insights report The State of Artificial Intelligence.
Zhou Yu, the 29-year-old assistant professor at UC Davis is teaching robots to understand the nuances of non-verbal communication and use them to their advantage.
China’s computer vision company Megvii, a.k.a Face++ (旷视科技) has closed their Series C funding round at a staggering US$460 million.
The global market for this versatile, high-precision, long-distance measuring “eye” will reach US$36 billion in 2030.
Jianxiong Xiao (肖健雄), founder of startup AutoX, developed his first self-driving car in six months with seven cameras costing a total of just US$500.
Recently, CNNs have been successfully used in estimating optical flow. Compared with traditional methods, these methods achieved a large improvement in quality. Here, we will give a brief review on the following papers.
This paper proposes not only a method as a useful tool but also a new concept for modeling complex annotation as a simple polygon.
In this report, we will touch on some of the recent technologies, trends and studies on deep neural network inference acceleration and continuous training in the context of production systems.
We interviewed Mr. Qiang Dong, chief scientist of Beijing YuZhi Language Understanding Technology Co. Ltd. and learned more about their YuZhi NLU Platform that conducts its unique semantic analysis based on concepts rather than words.
CVPR 2017 conference covered topics in: Machine Learning, Object Recognition & Scene Understanding – Computer Vision & Language, 3D Vision, Human Analyzing, Low- & Mid- Level Vision, Image Motion & Tracking: Video Analysis, Computational Photography, Applications.
Synced recently conducted a special interview with the Director of Tencent AI Lab Tong Zhang, to discuss about the strategic position and research focuses in Tencent.