According to a recent McKinsey report, despite major developments, the automotive industry is still only at the beginning of the AI disruption. State-of-the-art AI applications remain narrow—they can perform better than humans, but only in very specific tasks.
In this article, they focus on AI systems that use machine
learning and deep learning to enhance or create new applications in the automotive industry. One thing they found from a survey of 3K consumers in China, Germany, and the USA is that most consumers see AI as a welcome enabler of convenience in mobility. See the chart below. Check out Michael J Coren‘s article which expresses some skepticism on some of the report’s findings.
Facebook has become the latest technology company to dig into Montreal’s burgeoning artificial intelligence sector, announcing the opening of a research lab in the city Friday. The lab, known as FAIR Montreal, is headed by Joelle Pineau, a professor in McGill University’s computer science department and co-director of Reasoning and Learning Lab.
The social media giant follows Google and Microsoft in establishing AI roots in Montreal. The lab is open and ready for business, with the first researchers already setting up shop in a new building.
Can Alexa help shoppers in large, retail stores where store associates are spread out and often hard to find? That’s the premise behind the hack, “Alexa Shop Assist,” presented at the TechCrunch Disrupt 2017 hackathon in San Francisco.
The system utilizes two AWS Lambda functions,
speaker recognition, and a context switched response tree. This is all tied together through an iOS app, which uses the Alexa Skill Set and Alexa Voice Service. If implemented in a retail environment, the store would place Alexa-powered devices throughout. These wouldn’t necessarily have to be Echo hardware devices, as Alexa’s voice service is capable of running on any hardware.
Andrew Grey, a mechanic from Australia, was able to discover an entire star system through analyzing data from the Kepler Space Telescope. Grey is among the millions of “citizen scientists,” ordinary people with a curiosity and interest in science, who help researchers with their projects in order to expand the collective knowledge of humanity. Although science has always been the province of ordinary people to some extent, advances in technology have democratised science in a much more radical way.
The Milky Way Project, now on Zooniverse (a citizen science project platform that allows anyone to participate in a range of projects online from home), is another example of citizen scientists helping classify images from space. In this case, volunteers study infrared images from the Spitzer Space Telescope and WISE satellite observatory in order to classify various objects. Citizen scientists helped astronomers source “yellowballs,” star-forming regions, as part of this project.
Saykara, a health technology company developing an AI-fueled voice scribe that aims to be the Amazon Alexa for hospitals. The service uses AI tools to transcribe and sort through a physician’s oral notes during and after interacting with a patient. The goal is to cut down on the time a doctor spends at the computer doing administrative work so they can focus more on the patient.
“Saykara is built on a combination of speech recognition, natural language processing and machine learning. Most importantly, it is highly customized to a physicians workflow, by speciality,” Saykara CEO Harjinder Sandhu told GeekWire in an email.
In this episode, Wei Luo, founding COO of DeepMap — who build HD maps for autonomous vehicles — and David Rumsey, founder of the David Rumsey Map Collection (one of the largest paper private
map collections in the world, now at Stanford University, and *the* largest digital online private collection in the world, at 80,000 + maps) talk with a16z’s Hanne Tidnam about how maps — and mapmaking tools — are changing in the age of autonomous vehicles.
China’s Tencent Holdings and Guangzhou Automobile Group Company Ltd have agreed to collaborate on internet-connected cars – a strategic pact that sent shares in Guangzhou Auto surging.
Earlier this year, Tencent bought 5 percent of U.S. electric car maker Tesla Inc for $1.78 billion. Tencent and Guangzhou Auto will work together to develop internet-connected cars and AI-aided driving, as well as explore investment in areas such as auto-related e-commerce, so-called new energy cars, and auto insurance, the automaker said in a filing late on Monday.
As computer vision and object recognition technology continue to mature, we’re edging closer to automating away the exceedingly boring task of monitoring closed circuit TV cameras. Matroid is one of the startups leading the democratisation of this variety of machine intelligence. The company is announcing a $10 million Series A from NEA and Intel Capital that brings Matroid’s total financing to $13.5 million.