That is the aim of this Boston-area startup. This year, it expects to come to market with technology to make even fast and powerful industrial robots safe to approach. The technology promises to eliminate the need for guarding around them -- safety measures that might not be as safe as you think. Automated manufacturing facilities are full of physical barriers -- guarding and fences -- because of our fears. That is, because of our entirely legitimate fears.
Now comes word that Microsoft has deleted its facial recognition database of more than 10 million images of some 100,000 people that was reportedly being used by companies to test their facial recognition software. The database, known as MS Celeb, was the largest public facial recognition dataset in the world, amassed by scraping images off the web under a Creative Commons license that allows academic reuse of photos. According to Microsoft Research's paper on the database, it was originally designed to train tools for image captioning and news video analysis. However, after its existence was revealed by Adam Harvey, a Berlin-based artist and researcher, the Financial Times (paywall) ran an in-depth investigation that revealed that giant tech companies like IBM and Panasonic, and Chinese firms such as SenseTime and Megvii, as well as military researchers, were using the massive database to test their facial recognition software. Now Microsoft has quietly taken MS Celeb down.
In this May 22, 2019, photo, a customer waits for a coffee in front of a robot named b;eat after placing an order at a cafe in Seoul, South Korea. SEOUL, South Korea – Are robot baristas the future of South Korea's vibrant coffee culture? The company now has 45 robot-equipped outlets in shopping malls, company cafeterias, schools and an airport. Coffee is just one of many industries that could be transformed by automated services in this tech-forward nation, a notion both exciting and worrisome as jobs become scarcer. South Korean industries, including restaurants, convenience stores, supermarkets, banks and manufacturers, are relying increasingly on robots and other automation.
LAS VEGAS - Amazon.com Inc. has new drones that in coming months will deliver packages to customers in 30 minutes or less, a step toward a goal that has eluded the retailer for years. The new drone takes off and lands vertically like a helicopter, is more stable than prior models and can spot moving objects better than humans can, making it safe, Jeff Wilke, the chief executive of the company's consumer business, said at the company's "re:MARS" conference in Las Vegas on Wednesday. Wilke did not say where customers might see the drone in action, but Amazon made its first customer delivery by drone in the United Kingdom in 2016. For years, the world's largest online retailer has promised that packages would be landing on shoppers' doorsteps via these small aircraft, but hype around the service has long outpaced reality. The company has worked to ensure that hard-to-see wires would not trip up its vehicles, for instance, and it has faced tough regulations limiting commercial flights, particularly in the United States.
A new tool launched by privacy activists offers to help travelers avoid increasingly invasive facial recognition technologies in airports. Activist groups Fight for the Future, Demand Progress and CREDO on Wednesday unveiled a new website called AirlinePrivacy.com, The site also helps customers to directly book flights with airlines that don't use facial recognition technologies. Airlines' use of facial recognition technology is raising fresh questions about privacy and data security, advocates have argued. Instead of verifying passengers' details by scanning a boarding pass, the technology – which is provided by government agencies – scans passengers' face and sends that information to border control to verify identity and flight details.
Advances in 3D imaging have allowed vision users to overcome some challenging inspection tasks. In the machine vision marketplace, 3D imaging continues to mature, tackling applications 2D imaging cannot. "In a manufacturing setting, the fusion of 2D with 3D is necessary to measure how well components go together into an assembly and assess the product for final fit, finish, and packaging," says Terry Arden, CEO of LMI Technologies. According to David Dechow, Principal Vision Systems Architect at Integro Technologies, a systems integrator specializing in machine vision technologies with broad experience in helping companies implement 3D and 2D imaging for industrial automation, accuracy has improved as well. And with inspection tasks in 3D space, which may include measurement or reconstruction, precision is even more essential than with most tasks in robotic guidance or bin picking.
FREMONT, CA: The development in technology has accelerated growth and profits in many industries. Applications of technologies like Artificial Intelligence (AI) are so wide-ranging that it has managed to become an integral part in seemingly non-technical sectors as well. The government sector is yet to adopt advanced technologies in a manner as other areas have. This could change rapidly though, as governments are making themselves feel at home with the transforming technological landscapes. AI can bring about significant changes in the way governments work and make the public sector much more efficient than it has ever imagined being.
YOKOHAMA - Automated trains in Yokohama resumed services Tuesday -- but with drivers in control -- three days after one of them reversed into a buffer and injured 14 passengers, the line operator said. Yokohama Seaside Line Co. suspended services after the accident at Shin-Sugita Station at around 8:15 p.m. on Saturday. The train traveled the wrong way for about 25 meters and hit the buffer shortly after departing. The company has not determined the cause of the accident at the terminal station on the 11-kilometer line, but indicated there had been a problem with the vehicle's electrical system. Driverless services will resume "after the company investigates the cause of the accident and takes measures to prevent a recurrence," transport minister Keiichi Ishii told reporters.
Twitter has just announced it has picked up London-based Fabula AI. The deep learning startup has been developing technology to try to identify online disinformation by looking at patterns in how fake stuff vs genuine news spreads online -- making it an obvious fit for the rumor-riled social network. Social media giants remain under increasing political pressure to get a handle on online disinformation to ensure that manipulative messages don't, for example, get a free pass to fiddle with democratic processes. Twitter says the acquisition of Fabula will help it build out its internal machine learning capabilities -- writing that the UK startup's "world-class team of machine learning researchers" will feed an internal research group it's building out, led by Sandeep Pandey, its head of ML/AI engineering. This research group will focus on "a few key strategic areas such as natural language processing, reinforcement learning, ML ethics, recommendation systems, and graph deep learning" -- now with Fabula co-founder and chief scientist, Michael Bronstein, as a leading light within it.