Output of an Artificial Intelligence system from Google Vision, performing Facial Recognition on a ... [ ] photograph of a man, with facial features identified and facial bounding boxes present, San Ramon, California, November 22, 2019. A Google artificial intelligence tool will no longer identify photos with gender descriptions such as "man" or "woman," Business Insider reported. "Given that a person's gender cannot be inferred by appearance, we have decided to remove these labels in order to align with the Artificial Intelligence Principles at Google," the company said in an email to developers Thursday morning, according to Business Insider. Google's Cloud Vision API is a service that allows developers to attach labels to photos identifying the contents. It can detect faces, brand logos and other images.
Prophesee, a Paris-based startup that has pioneered neuromorphic vision systems, presented this week at the International Solid-State Circuits Conference (ISSCC) in San Francisco a new, stacked event-based vision sensor jointly developed with Sony Corp. Designed by Prophesee's event-driven technology, the new sensor was built on technologies engineered by Sony for advanced stacked CMOS image sensors. For event-driven systems, the new sensor offers the industry's smallest pixel size and the industry's highest high-dynamic range (HDR) performance, Prophesee claimed. The brain-inspired sensor would allow industrial machines, robots and autonomous vehicles to see and sense the environment better. The partnership could herald a new era in which AI -- both AI sensing and AI processing -- could take place very close to the sensor, if not yet on the sensor itself, where data is generated. Sony is the world's leading CMOS image sensor company.
Ben Horowitz resoundingly falls in the category of "needing no introduction": a highly successful entrepreneur who navigated a perilous situation with his business (Loudcloud, which became Opsware) to a $1.65B acquisition by HP, he's also the founder of premier Silicon Valley venture capital firm Andreessen Horowitz (aka "a16z"), and the best selling author of two books: "The Hard Thing About Hard Things" and the newly-released "What You Do Is Who You Are". It was a special treat to host Ben for a fireside chat at the most recent most recent edition of Data Driven NYC – a great evening that included two other terrific speakers: Amr Adwallah, now VP of Developer Relations at Google Cloud, and previously co-founder and CTO at Cloudera (NYSE: CLDR) and Michael James, co-founder of AI chip Cerebras. We spent a good hour with Ben and covered a bunch of topics, loosely organized in two parts, first AI and data, and then culture an his new book. Below are two videos covering each part, as well as a FULL TRANSCRIPT for anyone who prefers to read.
Machine learning is increasingly used across fields to derive insights from data, which further our understanding of the world and help us anticipate the future. The performance of predictive modeling is dependent on the amount and quality of available data. In practice, we rely on human experts to perform certain tasks and on machine learning for others. However, the optimal learning strategy may involve combining the complementary strengths of humans and machines. We present expert-augmented machine learning, an automated way to automatically extract problem-specific human expert knowledge and integrate it with machine learning to build robust, dependable, and data-efficient predictive models. Machine learning is proving invaluable across disciplines. However, its success is often limited by the quality and quantity of available data, while its adoption is limited by the level of trust afforded by given models. Human vs. machine performance is commonly compared empirically to decide whether a certain task should be performed by a computer or an expert.
Co-founder and chief strategy officer David Hunt says their technology allows farmers to see what is happening on their dairy "in high resolution in real time…without anyone needing to go into the barn." Based in California, Canada and Ireland, the company launched their first product in late January. Alus Nutrition focuses on "all things related to feed bunk management," according to portfolio growth lead Tyler Bramble. This includes when feed is delivered to cows or when the cows have cleaned out the feed and need more. Cainthus' smart cameras monitor cows, while their software interprets what the cameras see.
As the DeLorean rolled to a stop and the cloud of tire smoke cleared, Jon Goh peeked out the sliver of the passenger-side window to see dozens of gathered spectators cheering and high-fiving the successful test. The crowd, and anticipation, had built throughout the afternoon, while Goh, a recent mechanical engineering Ph.D. graduate from Stanford, had been outlining a kilometer-long obstacle course in traffic cones at Thunderhill Raceway in Northern California. The sun was setting fast, but Goh and his co-pilot, another grad student named Tushar Goel, couldn't wait until morning to take a shot at the twisty course. Besides, MARTY, the driver, didn't need to see the track--it needed only GPS coordinates and the algorithms on Goh's laptop to chart its path. MARTY is a 1981 DeLorean that Goh and his colleagues at Stanford's Dynamic Design Lab converted into an all-electric, autonomous drift car.
Cornerstone Research VANDY M. HOWELL, PhD Vandy Howell received her PhD in economics from MIT. She has expertise in industrial organization and labor economics. She is the head of Cornerstone Research's San Francisco office. Dr. Howell's practice area focus has been on antitrust, intellectual property, marketing, and breach of contract matters. She has experience across many industries, including cases involving technological and innovation markets, agriculture, and labor market issues.
A major California university has dropped plans to use facial recognition for the surveillance of the campus. The idea was to have the University of California Los Angeles use facial recognition as a way to gain access to buildings, to prove authenticity and deny entry to people with restricted access to the campus, matching their faces against a database. Advocacy group Fight for the Future says UCLA was the first major university exploring using facial recognition to monitor students. The group had tested facial recognition software and found that "dozens" of student-athletes and professors were incorrectly matched with photos from a mugshot database, "and the overwhelming majority of those misidentified were people of color." Why your face is the key: Do you really control how your face is being used?
On Saturday morning, I used an app on my phone to unlock a vehicle from Gig, a car sharing startup, and set off for a Valentine's Day weekend trip to northern California with my partner. By late Sunday afternoon, we were sitting on the side of a remote highway, a software issue on our smart car rendering it unusable. It was getting dark, we had no way of getting home, and I was contemplating the limits of the sharing economy and the ultimate costs of convenience. Gig is a company that rents a fleet of hybrid Toyota Priuses and electric Chevrolet Bolts in the Bay Area and Sacramento to 65,000 users, according to a spokesman for the company. It is part of a growing field of car-sharing services – including Zipcar, the now-defunct Share Now, and recently Uber and Lyft – that allow users to rent standardized vehicles on the go.