“Built by creative agency Redpepper, There’s Waldo zeroes in and finds Waldo with a sniper-like accuracy. The metal robotic arm is a Raspberry Pi-controlled uArm Swift Pro which is equipped with a Vision Camera Kit that allows for facial recognition. The camera takes a photo of the page, which then uses OpenCV to find the possible Waldo faces in the photo. The faces are then sent to be analyzed by Google’s AutoML Vision service, which has been trained on photos of Waldo. If the robot determines a match with 95 percent confidence or higher, it’ll point to all the Waldos it can find on the page”.
“Research at Netflix is aimed at improving various aspects of our business. Research applications span many areas including our personalization algorithms, content valuation, and streaming optimization. To maximize the impact of our research, we do not centralize research into a separate organization. Instead, we have many teams that pursue research in collaboration with business teams, engineering teams, and other researchers.
This allows for close partnerships between researchers and the business or engineering teams in each area. In addition, research that applies to the same methodological area or business area is shared and highlighted in discussion and debate forums to strengthen the work and its impact. These forums also serve to identify and motivate future research directions”.
«Today, we collectively and continuously document our city experience on social media platforms, shaping a virtual city image. Multiplicity reveals a novel view of this photographic landscape of attention and interests. How does Paris look as seen through the lens of thousands of photographers? What are the hotspots of attraction, what are the neglected corners? What are recurring poses and tropes? And how well do the published pictures reflect your personal view of the city?» – Via Nicolas Nova
«MIT researchers have developed a computer interface that can transcribe words that the user verbalizes internally but does not actually speak aloud.The system consists of a wearable device and an associated computing system. Electrodes in the device pick up neuromuscular signals in the jaw and face that are triggered by internal verbalizations — saying words “in your head” — but are undetectable to the human eye. The signals are fed to a machine-learning system that has been trained to correlate particular signals with particular words».
«We’ve been able to make rapid progress because our driver — Waymo’s self-driving technology — is not only experienced, but adaptable. Our self-driving trucks use the same suite of custom-built sensors that power our self-driving minivan. They benefit from the same advanced self-driving software that has enabled our cars to go fully driverless in Arizona. And our engineers and AI experts are leveraging the same five million miles we’ve already self-driven on public roads, plus the five billion miles we’ve driven in simulation. In short, our near-decade of experience with passenger vehicles has given us a head start in trucking».
«The time between calling 911 and the ambulance arriving can be critical for saving heart attack victims, but the person on the phone may not know what’s happening: this AI parses non-verbal clues to help diagnose from a distance».