Google Cloud launches Deep Learning Containers in beta, Predicting Bus Delays with Machine Learning, The rise of robots-as-a-service, Google for Small Business connects entrepreneurs with resources and many more. Here’s your weekly update of This Week In Digital covering all the latest tech developments around the world.
A consortium involving more than 40 leading companies and university researchers introduced MLPerf Inference v0.5, the first industry standard machine learning benchmark suite for measuring system performance and power efficiency. The benchmark suite covers models applicable to a wide range of applications including autonomous driving and natural language processing, on a variety of form factors, including smartphones, PCs, edge servers, and cloud computing platforms in the data center.
Walmart China plans to track food through its supply chain with VeChain’s Thor blockchain, reveals a VeChain press release published on June 25. Per the release, the Walmart China Blockchain Traceability Platform (WCBTP) will be a joint venture by Walmart China, VeChain, PricewaterhouseCoopers (PwC), cattle company Inner Mongolia Kerchin, and the China Chain-Store & Franchise Association.
Norway-based internet browser company Opera has launched the iOS version of its mobile web browser, Opera Touch, according to a press release shared with Cointelegraph. Opera Touch reportedly supports the Ethereum (ETH) protocol and the Ethereum Web3 application programming interface (API). This means that the browser accommodates Ethereum-based decentralized applications (DApps) and all ERC-20 tokens, stablecoins, and non-fungible tokens (NFTs).
Google Cloud launches Deep Learning Containers in beta – June 26, 2019.
Google Cloud Platform (GCP) today launched Deep Learning Containers, environments optimized for deploying and testing applications and services that utilize machine learning. Now in beta, GCP Deep Learning Containers works in the cloud and on-premises, making it possible to develop or prototype in both. Amazon introduced AWS Deep Learning Containers with Docker image support in March.
Driven by strong customer demand including more than 5,000 new Autonomous Database trials in Q4FY19 alone, Oracle has expanded its Autonomous Database capabilities to help meet the needs of enterprise customers who want to move their most mission-critical workloads to the cloud. Today, Oracle announced the availability of the Oracle Autonomous Database Dedicated service, which provides customers with the highest levels of security, reliability, and control for any class of database workload.
AI uses camera footage to track pedestrians in dense crowds – Kyle Wiggers, June 26, 2019.
Tracking dozens of people in dense public squares is a job to which AI is ideally suited, if you ask scientists at the University of Maryland and University of North Carolina. A team recently proposed a novel pedestrian-tracking algorithm — DensePeds — that’s able to keep tabs on folks in claustrophobic crowds by predicting their movements, either from front-facing or elevated camera footage.
Google for Small Business connects entrepreneurs with resources – Kyle Wiggers, June 27, 2019.
In celebration of International Small Business Day, Google today launched Google for Small Business at an event in New York City. A web portal designed to make it easier for entrepreneurs to find business tools and services, it’s part of Grow with Google, the initiative Google launched in October 2017 to help people develop the skills they need to find work or grow their business.
AI capsule system achieves state-of-the-art image classification results – Kyle Wiggers, June 27, 2019.
In 2017, Geoffrey Hinton — a foremost theorist of AI and a recent recipient of the Turing Award — proposed with students Sara Sabour and Nicholas Frosst a machine learning architecture called CapsNet, a discriminately trained and multilayer approach that achieved state-of-the-art image classification performance on a popular benchmark.
Predicting Bus Delays with Machine Learning – Alex Fabrikant, June 27, 2019.
Hundreds of millions of people across the world rely on public transit for their daily commute, and over half of the world’s transit trips involve buses. As the world’s cities continue growing, commuters want to know when to expect delays, especially for bus rides, which are prone to getting held up by traffic.
Explain Yourself: Opening Up AI’s Black Box with Common-sense Reasoning – Caiming Xiong, June 27, 2019.
Human communication is full of unspoken assumptions. Common sense— the innate ability to understand these hidden meanings in a way that is agreed upon by most people allows us to communicate quickly and efficiently. These building blocks of shared understanding and experience provide a foundation for how humans interact with one another and the world.
Amazon’s making it simpler for unique gadget makers to construct fully-featured headphones, wearables, and earbuds powered by Alexa. To this finish, the Seattle firm at this time announced in a weblog put up that the Alexa Mobile Accessory (AMA) Kit — the software program stack that allows units to faucet Alexa for music playback, good dwelling gadget management, calendar administration, and tens of hundreds of third-party abilities — is gaining options within the type of location-aware responses and entry to extra music providers.
AI predicts college student stress from phone sensor and questionnaire data – Kyle Wiggers, June 28, 2019.
College students lead stressful lives. They’ve got assignments to complete and extracurriculars to attend, not to mention tests to prepare for and job applications to submit. Unfortunately for them, the negative health effects of stress are well-documented. If left untreated, it can cause cardiovascular diseases, affect memory and cognition, and even suppress the immune system.
The rise of robots-as-a-service – Hooman Radfar, June 30, 2019.
Robotics-as-a-service (RaaS) is about to eat the world of work. While much of the attention in the world of automation technology has been focused on self-driving cars, many other markets traditionally dominated by human-in-the-loop solutions are reaching a point of inflection, enabling RaaS solutions to take over.