Facial Recognition in Identity Verification
Facial recognition is a major class of biometric technology which is increasing its market share while expanding its applications across multiple industries.
Author: Synced
Machine Intelligence | Technology & Industry | Information & Analysis
Paper Submissions Break NeurIPS 2019 Paper Submission System
The Microsoft Conference Management Toolkit (CMT) that leading machine learning conference NeurIPS 2019 uses to process academic paper submissions failed in the countdown to yesterdays’s 1 p.m. PT submission deadline.
Moving Camera, Moving People: Google AI’s Deep Learning Approach to Depth Prediction
Google AI has introduced a deep learning based approach that generates depth prediction from videos where both camera and subject are in motion.
Samsung AI Makes the Mona Lisa ‘Speak’
Imagine the lips forming the Mona Lisa’s famous smile were to part, and she began “speaking” to you. This is not some sci-fi fantasy or a 3D face animation, it’s an effect achieved by researchers from Samsung AI lab and Skolkovo Institute of Science and Technology, who used adversarial learning to generate a photorealistic talking head model.
ACM Announces Best Doctoral Paper
The Association for Computing Machinery (ACM) has announced the recipient of its 2018 ACM Doctoral Dissertation Award. Chelsea Finn, a PhD student from UC Berkeley, took the top honour with her paper Learning to Learn with Gradients.
NeurIPS 2019 Will Host Minecraft Reinforcement Learning Competition
A group of AI experts from top US universities is organizing a sample-efficient reinforcement learning competition, MineRL, which will start on June 1, 2019. The organizers want to increase group participation in reinforcement learning and are encouraging people to “play to benefit science”.
Computer Graphics + Computer Vision = TensorFlow Graphics
Google’s deep learning TensorFlow platform has added Differentiable Graphics Layers with TensorFlow Graphics, a combination of computer graphics and computer vision. Google says TensorFlow Graphics can solve data labeling challenges for complex 3D vision tasks by leveraging a self-supervised training approach.
Facebook Open-Sources Pythia for Vision and Language Multimodal AI Models
Facebook announced today that it is open-sourcing Pythia, a deep learning framework for vision and language multimodal research framework that enables researchers to “more easily build, reproduce, and benchmark AI models.”
Microsoft Pumps $100M into African AI Centres
Under CEO Satya Nadella, Microsoft has made it a priority to develop international partnerships, and the world’s largest software company is now expanding its presence across the great continent of Africa.
AI Designing AI: An AutoML Review
Automated machine learning (AutoML) is a hot topic in artificial intelligence. Researchers from German digital and software company USU Software AG and the University of Stuttgart recently published a review paper summarizing the latest academic and industrial developments in AutoML.
Google Diagnostic AI Aims to Boost Lung Cancer Survival Rates
Google has achieved a milestone in machine learning research that will boost the company’s broader ambitions in healthcare. In a paper published today in Nature Medicine, Google researchers present an end-to-end deep learning model that can predict lung cancer comparably or better than human radiologists.
Google Releases Open Image V5, Launches Open Image Challenge
Google has released its updated open-source image dataset Open Image V5 and announced the second Open Images Challenge for this autumn’s 2019 International Conference on Computer Vision (ICCV 2019).
Machine Learning Powers Breast Cancer Study; UK National Health Service Embraces AI
Synced Global AI Weekly May 19th
Intelligent Technology in the Pharmaceutical Industry Outlook
According to data from Statista, global pharmaceutical sales now stand at some one trillion US dollars. The United States is the largest single pharmaceutical market by far, contributing more than US$450 billion in revenue, while Europe generated around US$214 billion.
Google AI Apps Aim to Improve the Lives of People With Disabilities
About 15 percent of the world population — over one billion people — have some type of disability, according to the World Health Organization. Some 200 million of these experience considerable difficulties in work and public environments.
ACL 2019 Reports Record-High Paper Submissions; Begins Notifying Accepted Authors
The annual meeting of the Association for Computational Linguistics (ACL) is world-leading conference in the field of natural language processing, Yesterday, conference organizers sent out author notifications on accepted papers for the 57th ACL gathering, which will take place in Florence, Italy from July 28 to August 2.
Adversarial Examples Aren’t Bugs, They’re Features
n the new paper Adversarial Examples Are Not Bugs, They Are Features, a group of MIT researchers propose that adversarial examples’ effectiveness can be attributed to non-robustness: “Adversarial vulnerability is a direct result of our models’ sensitivity to well-generalizing features in the data.”
Google AI ‘Translatotron’ Can Make Anyone a Real-Time Polyglot
Google AI yesterday released its latest research result in speech-to-speech translation, the futuristic-sounding “Translatotron.”
Google Brain NAS-FPN Outperforms SOTA Models for Object Detection
Current state-of-the-art convolutional architectures for object detection tasks are human-designed. In a recent paper, Google Brain researchers leveraged the advantages of Neural Architecture Search (NAS) to propose NAS-FPN, a new automatic search method for feature pyramid architecture.
Yoshua Bengio to Lead New Canadian Advisory Council on AI
At the G7 Digital Ministers gathering in Paris yesterday Canadian Minister of Innovation, Science and Economic Development Navdeep Bains announced the launch of the Advisory Council on Artificial Intelligence.
NVIDIA AI Enables Low-Data Face Swap for Pets
NVIDIA has opened a fun online AI platform (https://nvlabs.github.io/FUNIT/petswap.html) that can swap pet faces onto other animals. Simply upload a photo of your Spot or Sylvester, draw a rectangle around its head, click on “Translate” and voila!
Facebook, MIT & UW Introduce DeepSDF AI for 3D Shape Representation
Researchers from the University of Washington, MIT, and Facebook Realty Lab recently proposed the novel deep representation method “DeepSDF” to study 3D object generation.
AI Biweekly: Google Flexes AI Muscles at I/O; Siemens Advances Its Vision 2020+
10 AI News You Must Know from May W 1 – W 2
DeepMind & Google Graph Matching Network Outperforms GNN
DeepMind and Google researchers have proposed a powerful new graph matching network (GMN) model for the retrieval and matching of graph structured objects.
Microsoft Build and Google I/O Pledge Better AI; ICLR 2019 Announces Best Papers
Synced Global AI Weekly May 12nd
Microsoft Research Asia: Past, Present, and Future of NLP
Microsoft Research Asia (MSRA) has been dubbed the “Whampoa Academy for AI” in reference the elite Chinese military school. MSRA is a bootcamp for NLP research and has trained more than 500 interns, 20 PhDs and 20 postdocs over the past two decades.
Google I/O 2019 | Geoffrey Hinton Says Machines Can Do Anything Humans Can
Artificial intelligence is closing the gap on humans. Machines are rapidly honing their skills in object recognition and natural language interaction, and advanced AI agents have already beat human champions in board and video games and even debates.
Google AI | Unsupervised Depth Estimation for Arbitrary Videos
Traditional methods used to estimate 3D structure and camera motion in videos rely heavily on manual assumptions such as continuity and planarity. Google researchers have now presented an alternative deep learning method which is able to obtain these assumptions from unlabelled video.
Alan Turing Institute Releases ML Framework Written in Julia
UK-based national research organization The Alan Turing Institute has released a new machine learning toolbox, Machine Learning in Julia (MLJ), which provides a uniform interface enabling users to easily train, evaluate, and tune machine learning models.
ICLR 2019 | Tsinghua, Google and ByteDance Propose Neural Networks for Inductive Learning & Logic Reasoning
Although machine learning has achieved huge advances in speech recognition, gaming and many other applications, some critics still regard it as little more than glorified “curve fitting” that lacks high-level cognitive abilities and reasoning skills.
I/O 2019 | Your Data Stays on Your Phone: Google Promises a Better AI
The success of artificial intelligence is built on large corpuses of centralized data collection, but rising concerns over user privacy and data misuse have left many people wary of fully embracing AI on their mobile devices. Google wants to change that.
Enlarging Labeled Handwritten Character Datasets With Capsule Networks
Researchers from the Sri Lanka’s University of Moratuwa and the University of Sydney in Australia have proposed a technique for generating new handwritten character training samples from existing samples.
‘Abandon US’ Petition Protests AI Conference Visa Denials
A French-based research scientist has collected almost 300 signatures on an online petition calling for organizers of major computer science conferences such as SIGGRAPH, NeurIPS, ICML, CVPR, etc. to exclude the US as a host.
ICLR 2019 | MILA, Microsoft, and MIT Share Best Paper Honours
The Seventh International Conference on Learning Representations (ICLR) kicked off today. One of the world’s major machine learning conferences, ICLR this year received 1591 main conference paper submissions — up 60 percent over last year — and accepted 24 for oral presentations and 476 as poster presentations.
Microsoft Build 2019 | AI-Driven Collaboration and Hybrid-Cloud Innovations for Microsoft 365 & Azure
Over 6,000 developers and computer scientists poured into Seattle’s Washington State Convention Center this morning for Day 1 of Microsoft Build 2019, the company’s annual developer conference. Microsoft used the occasion to announce a new AI-driven collaboration and hybrid-cloud innovations across Microsoft 365 and Microsoft Azure.
Big Announcements from Facebook F8
Synced Global AI Weekly May 5th
AutoML Mobile: Automated ML Model Design for Every Mobile Device
Designing accurate and efficient CNNs for mobile devices is challenging due to the large design space and expensive computational methods. Although many mobile CNNs are available for developers to train and deploy to mobile devices, existing CNN architecture may not be able to achieve the best results for some tasks on mobile devices.
The Big Picture: Google Releases Massive Landmark Recognition Dataset
Google today announced the release of a new and improved landmark recognition dataset. Google-Landmarks-v2 includes over 5 million images, doubling the number in the landmark recognition dataset the tech giant released last year. The dataset now covers more than 200 thousand different landmarks, a seven times increase over the first version.
Researchers Question KDD 2019 Paper Review Process
The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) released its paper acceptance results this week, and many researchers whose papers were rejected have taken to social media to question the review process.
Buildup to Microsoft Build 2019
Microsoft Build 2019 is around the corner. From May 6 to 8, developers and software engineers will fill Seattle’s Washington State Convention Center, where Microsoft is expected to announce updates to Windows, Office 365, its Azure cloud computing platform, and other company platforms and services.