AI Technology & Industry 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 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 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).
Synced Global AI Weekly May 19th
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.
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.
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.
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 yesterday released its latest research result in speech-to-speech translation, the futuristic-sounding “Translatotron.”
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.
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 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!
Researchers from the University of Washington, MIT, and Facebook Realty Lab recently proposed the novel deep representation method “DeepSDF” to study 3D object generation.
10 AI News You Must Know from May W 1 – W 2
DeepMind and Google researchers have proposed a powerful new graph matching network (GMN) model for the retrieval and matching of graph structured objects.
Synced Global AI Weekly May 12nd
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Synced Global AI Weekly May 5th
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.
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.
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.
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.
“AI is the best bot to keep people safe on our platforms,” Facebook Director of Artificial Intelligence Manohar Paluri told the F8 audience, adding that an effective way to achieve that goal is enabling Facebook’s AI system to “understand content and work effectively with less labeled training data.”
A group of Google researchers led by Quoc Le — the AI expert behind Google Neural Machine Translation and AutoML — have published a paper proposing attention augmentation. In experiment results, the novel two-dimensional relative self-attention mechanismfor image classification delivers “consistent improvements in image classification.”
The non-profit organization behind the popular worldwide library of computer vision programming functions, OpenCV (Open Source Computer Vision), is launching a kickstarter campaign to raise funds for a series of summer 2019 AI courses.
New research from Harvard Medical Group shows AI-powered autonomous device navigation is possible in minimally invasive surgical procedures, and even in heart surgery.
10 AI News You Must Know from April W 3 – W 4
San Francisco research company OpenAI has developed Sparse Transformer, a deep neural network which outperforms current state-of-the-art techniques for predicting long-sequence data in text, image and sound.
Synced Global AI Weekly April 28th
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.
The semiconductor industry took off in the 1960s, when most companies were still IDMs (integrated device manufacturers) who designed, manufactured, packaged, tested and sold ICs (integrated circuits).