Last week, we also heard about Ford’s partnership with Postmates (on-demand delivery). Ford and Postmates will conduct pilot programs to explore how self-driving technology could change the delivery experience for consumers.
In this New York Times article, Cade Metz discusses how for years, tech industry financiers have shown little interest in startup companies that made computer chips. He asks: How big is the sudden explosion of startups building AI chips? There are 45 of them, and at least five have raised $100M.
It is doubtful that any of the companies fantasise about challenging Intel head-on with their own chip factories, which can take billions of dollars to build…But in designing chips that can provide the particular kind of computing power needed by machine learning how to do more and more things, these startups are racing toward one of two goals: Find a profitable niche or get acquired. Fast.
On an average day, people around the world watch one billion hours of video on YouTube. Most of those—70%—are recommended by YouTube’s algorithms, chief product officer Neal Mohan revealed at CES, as reported by CNET. The recommendations keep mobile users watching for more than 60 minutes at a time, on average, he said.
The algorithms make those connections by narrowing down the millions of videos on the platform into a more manageable pool of hundreds that might interest you, then ranking those videos based on how likely you are to watch them, Google engineers outlined in a 2016 paper (pdf).
In general, Havens said, he thinks the show does a “great job” of exploring the ethical and legal issues surrounding cutting-edge AI technology. Like pretty much everyone else who’s seen the latest season, he was especially taken with “U.S.S. Callister,” which deals with a woman whose consciousness, unbeknownst to her, is copied into the cloud.
Alibaba has developed an AI model that scored better than humans in a Stanford University reading and comprehension test.
Alibaba put its deep neural network model through its paces last week, asking the AI to provide exact answers to more than 100,000 questions comprising a quiz that’s considered one of the world’s most authoritative machine-reading gauges. The model developed by Alibaba’s Institute of Data Science of Technologies scored 82.44, edging past the 82.304 that rival humans achieved.
Steve Miller presents three inter-related reasons for the unpopularity of the AI label within the scientific communities and extend each with an argument as to why we might want to be cautious about over-adoption of this term in the industry and finishes it off with a counter argument.
Irish startup SoapBox Labs is on a mission to create what it calls “the world’s most accurate and accessible speech technology for children”, tech it plans to offer to third-party hardware and app developers. These span educational apps that support reading and language development, children’s voice-control for IoT devices in
the home, smart toys, and AR/VR experiences.
Founded in 2013 by Dr. Patricia Scanlon, an ex-Bell Labs researcher and PhD with nearly 20 years experience in the area of speech recognition technologies, the young company is based on the premise that speech recognition tech built for adults, such as that most recently found in devices like the Amazon Echo or Google Home, doesn’t work as well as it could do for kids.
Do you look like the Mona Lisa? Or maybe more of an American Gothic? Social media is being flooded with Google’s opinions, at least, as part of a new feature that compares a user’s selfie with the company’s catalog of historical artworks, looking for the just-perfect doppelganger.
How does Google do it? The app uses computer-vision tech to examine what is similar about your face to the thousands of pieces of art that are shared with Google by museums and other institutions. Google says this new feature is merely experimental — the app has been around since 2016. Unfortunately, this feature is not available in the UK.
A Hampshire zoo is using AI to help heat an animal enclosure – in a world-first experiment aimed to reduce the park’s electricity bill and carbon footprint. Marwell Zoo, which spends around £150,000 a year on electricity, has teamed up with technology company IBM to install a ‘smart’ heater for the Nyala antelope, which are native to Southern Africa
and prefer warmer climates.
The technology uses an algorithm that relies on data from a grid of infrared sensors to detect if the antelope are in their pen. So far, the algorithm is making the right decision about turning on the heating for the Nyala antelope 95% of the time. The zoo hopes the experiment will save 30-40% on their heating bills, and if successful. will be rolled out across animal houses in the zoo.