The U.S. is using every tool at its disposal to defeat the novel coronavirus, including artificial intelligence. American laboratories are harnessing AI to discover new therapeutics. The Food and Drug Administration approved an AI tool to help detect coronavirus in CT scans. And the White House led an initiative to create a database with more than 128,000 articles that scientists can analyze using AI to help understand the virus better and develop treatments.
Apple has acquired the machine learning startup Inductiv Inc., according to a new report from Bloomberg. The startup had been developing technology that uses artificial intelligence to identify and correct errors in datasets. The report explains that the engineering team from Inductiv has joined Apple "in recent weeks" to work on several different projects including Siri, machine learning, and data science. Apple issued its standard statement regarding the acquisition, saying it "buys smaller technology companies from time to time and we generally do not discuss our purpose or plans." The startup was founded by professors from Stanford University, the University of Waterloo, and the University of Wisconsin.
The "Sensors for Robotics: Technologies and Global Markets" report has been added to ResearchAndMarkets.com's offering This report sizes the market by technology, including sensors within the vision, touch, hearing, and movement segments. The top seven application areas are sized, forecast, and discussed in-depth. These include agriculture, appliances, automotive, healthcare, industrial, logistics, and military. In addition, the overall market and each application area are assessed on a worldwide and regional basis, including North America, Latin America, Europe, the Middle East and Africa, and Asia-Pacific. This report considers the economic slowdown caused by lockdown across the world owing to the COVID-19 pandemic.
Researchers from U of T Engineering and Carnegie Mellon University are using electrolyzers like this one to convert waste CO2 into commercially valuable chemicals. Their latest catalyst, designed in part through the use of AI, is the most efficient in its class. Credit: Daria Perevezentsev / University of Toronto Engineering Researchers at University of Toronto Engineering and Carnegie Mellon University are using artificial intelligence (AI) to accelerate progress in transforming waste carbon into a commercially valuable product with record efficiency. They leveraged AI to speed up the search for the key material in a new catalyst that converts carbon dioxide (CO2) into ethylene -- a chemical precursor to a wide range of products, from plastics to dish detergent. The resulting electrocatalyst is the most efficient in its class.
Mobileye, Intel's driverless vehicle R&D division, today published a 40-minute video of one of its cars navigating a 160-mile stretch of Jerusalem streets. The video features top-down footage captured by a drone, as well as an in-cabin cam recording, parallel to an overlay showing the perception system's input and predictions. The perception system was introduced at the 2020 Consumer Electronics Show and features 12 cameras, but not radar, lidar, or other sensors. Eight of those cameras have long-range lenses, while four serve as "parking cameras" and all 12 feed into a compute system built atop dual 7-nanometer data-fusing, decision-making Mobileye EyeQ5 chips. Running on the compute system is an algorithm tuned to identify wheels and infer vehicle locations and an algorithm that identifies open, closed, and partially open car doors.
Chinese ride-hailing giant Didi Chuxing Technology Co. raised more than $500 million in a funding round led by SoftBank Group Corp. for its autonomous-driving subsidiary, the company said Friday, as it competes with well-backed U.S. startups over self-driving technology. The fresh boost in capital led by SoftBank's Vision Fund 2, the successor to the Japanese tech investor's $100 billion Vision Fund, will be used to test, develop and deploy Didi's autonomous-driving technology, Didi said. The company is also planning to work...
In December 2019, Facebook launched the Towards On-Device AI request for proposals (RFP). The purpose of this RFP was to support the academic community in addressing fundamental challenges in this research area, to accelerate the transition toward a truly "smart" world where AI capabilities permeate all devices and sensors. "We've seen strong progress in moving AI workloads from the cloud to on-device. Running models locally has already helped drive new capabilities like speech assistants, night modes on cameras, and an entirely new class of intelligent devices like smartwatches and smart thermostats," says Vikas Chandra, Director of AI Research. "This is important to push further to preserve privacy, latency, and compute power, and to help create even more experiences that can be useful to us in everyday life."
Multifunction glasses that can monitor your health, let you play video games with your eyes and still work as sunglasses are developed by South Korean scientists. The groundbreaking new wearable tech built at Korea University, Seoul, can provide more advanced personal health data than devices like Fitbits or smart watches. Devices that measure electrical signals from the brain or eyes can help to diagnose conditions like epilepsy and sleep disorders -- as well as in controlling computers. A long-running challenge in measuring these electronic signals, however, has been in developing devices that can maintain the needed steady physical contact between the wearable's sensors and the user's skin. The researchers overcame this issue by integrating soft, conductive electrodes into their glasses that can wirelessly monitor the electrical signals.
A company targeting the nascent driverless urban delivery market is now testing an autonomous prescription delivery service. Nuro, which has been opening up delivery testbeds and was recently awarded a DOT exemption for driverless delivery, has revealed plans along with CVS Pharmacy to test prescription delivery in Houston, Texas, beginning in June. Founded by former Google engineers Jiajun Zhu and Dave Ferguson, Nuro's business model is to deploy a fleet of small, self-driving vans on an as-a-service basis for last-mile urban delivery. According to the company, its pint-sized, battery-powered vans are safer than human-piloted vehicles and will relieve congestion and pollution by taking bigger delivery trucks off crowded city streets. The prescription delivery testbed is a first-of-its-kind rollout in the autonomous delivery space and suggests significant faith in Nuro's identification and security protocols by CVS and the city of Houston.