Adobe's Emerging Products Group (EPG) is seeking a Computer Scientist with solid C/C programming skills to join our team here at HQ in San Jose, California. Proficiency in Android or IOS development is required to succeed in this position. This is a team that explores big technical challenges and next-generation product opportunities empowered by artificial intelligence (AI), computer vision, computational photography, augment reality (AR) and among other areas. Meanwhile, this team has produced mobile products like Adobe Photoshop Fix & Mix. We are working on new projects that merge digital arts with AI, AR and mobile camera capture.
Those were some of the questions posed by John Zimmer, president and co-founder of U.S. rideshare firm Lyft, at the recent Rakuten Optimism 2019 conference in Yokohama, Japan. Lyft became the first ridesharing company to go public earlier this year when it completed an IPO with a valuation of $24 billion. It has also been pursuing autonomous driving technology: in partnership with Aptiv, Lyft recently notched 50,000 rides in Las Vegas in just a year, and has recently launched Waymo autonomous vehicles on the Lyft platform in Phoenix, Arizona. Against that background, Zimmer spoke about the future of transport with Mickey Mikitani, CEO of early Lyft investor, Rakuten. "We have to think about what is the right infrastructure to support (the future of transport)," Zimmer said during his second appearance at Optimism since speaking at the inaugural conference last year in San Francisco.
It feels as though 2019 has gone by in a flash, that said, it has been a year in which we have seen great advancement in AI application methods and technical discovery, paving the way for future development. We are incredibly grateful to have had the leading minds in AI & Deep Learning present their latest work at our summits in San Francisco, Boston, Montreal and more, so we thought we would share thirty of our highlight videos with you as we think everybody needs to see them!. We were delighted to be joined by Dawn at the Deep Reinforcement Learning Summit in June of 2019, presenting the latest industry research on Secure Deep Reinforcement Learning, covering both the lessons leant in the lead up to her presentation, current challenges faced for advancement, and the future direction of which her research is set to take. You can see Dawn's full presentation from June here. Reinforcement Learning is somewhat of a hotbed for research, this year alone we have seen several presentations that have broken down the ins and outs of RL, that said, Doina's talk just last month gave us some new angles on the latest algorithmic development.
In a bid to help mitigate the risk of suicide especially among the homeless youth, a team of researchers at University of California (USC) has turned their focus towards Artificial Intelligence (AI). Phebe Vayanos, an associate director at USC's Center for Artificial Intelligence in Society (CAIS), and her team have been working over the last couple of years to design an algorithm capable of identifying who in a given real-life social group would be the best persons to be trained as "gatekeepers" capable of identifying warning signs of suicide and how to respond. "Our idea was to leverage real-life social network information to build a support network of strategically positioned individuals that can'watch-out' for their friends and refer them to help as needed," Vayanos said. Vayanos and study's lead author Aida Rahmattalabi investigated the potential of social connections such as friends, relatives and acquaintances to help mitigate the risk of suicide. "We want to ensure that a maximum number of people are being watched out for, taking into account resource limitations and uncertainties of open world deployment," Vayanos said.
At the IEEE International Electron Devices Meeting (IEDM) in San Francisco this week, France-based research institute CEA-Leti presented papers highlighting its achievements in bio-inspired neural networks, a readout technique for high-fidelity measurements in large quantum dot arrays and inorganic thin film batteries with optimum energy and power density performance for medical and implantable devices. This article presents highlights of each of these three papers. Bio-inspired neural networks have been in development for a while, and at IEDM, Leti announced it had fabricated a fully integrated bio-inspired neural network, combining resistive-RAM-based synapses and analog spiking neurons. The functionality of this proof-of-concept circuit was demonstrated thanks to handwritten digits classification. "The entire network is integrated on-chip," said Alexandre Valentian, lead author of the paper, Fully Integrated Spiking Neural Network with Analog Neurons and RRAM Synapses.
Accel Robotics, one of a growing number of AI startups that's setting out to enable automated cashierless stores, has raised $30 million in a series A round of funding led by SoftBank, with participation from New Ground Ventures, Toyo Kanetsu Corporate Venture Investment Partnership, and RevTech Ventures. Founded out of San Diego in 2015, Accel Robotics is developing the AI and computer vision smarts needed for checkout-free stores, which are designed to make queuing a thing of the past and will generate vast swathes of consumer data. The general idea is that the shopper simply walks into a store, picks items from the shelves, and then walks out again -- with the receipt sent directly to their mobile device. Accel Robotics has largely flown under the radar compared to other companies operating in the burgeoning cashierless store sphere, but it said it is already working on deployments across North America and Japan -- including in restaurants and drugstore chains. Amazon is arguably the highest profile cashier-free store operator, and since the ecommerce giant debuted its concept Amazon Go stores back in 2016, it has expanded the outlets to 18 locations across the U.S. A number of startups have launched to bring automated supermarkets to every city by helping retailers adapt their existing stores.
LOS ALTOS, CALIFORNIA and LEMONT, ILLINOIS – Cerebras Systems, a company dedicated to accelerating artificial intelligence (AI) compute, and the Argonne National Laboratory, a multidisciplinary science and engineering research center, today announced that Argonne is the first national laboratory to deploy the Cerebras CS-1 system. Unveiled today at SC19, the CS-1 is the fastest AI computer system in existence and integrates the pioneering Wafer Scale Engine, the largest and fastest AI processor ever built. By removing compute as the bottleneck in AI, the CS-1 enables AI practitioners to answer more questions and explore more ideas in less time. The CS-1 delivers record-breaking performance and scale to AI compute, and its deployment across national laboratories enables the largest supercomputer sites in the world to achieve 100- to 1,000-fold improvement over existing AI accelerators. By pairing supercompute power with the CS-1's AI processing capabilities, Argonne can now accelerate research and development of deep learning models to solve science problems not achievable with existing systems.
Machine learning is everywhere, but is it actual intelligence? A computer scientist wrestles with the ethical questions demanded by the rise of AI. Published by Farrar, Straus and Giroux October 15th 2019. The idea is that unchecked robots will rise up and kill us all. But such martial bodings overlook a perhaps more threatening model: Aladdin.
It was founded in 2017 by the academics Shimon Whiteson and João Messias. Waymo hopes the company's expertise can be put to use teaching AI drivers how to deal with complex behaviour such as a car cutting off another at a roundabout, a pedestrian emerging from a parked car, or a cyclist skidding in rain. The Alphabet subsidiary is also intending to use its new base in Oxford to build a second pool of AI talent outside its headquarters in Mountain View, California. The UK is a world leader in AI research, including autonomous vehicles, and many talented researchers will not or cannot relocate to the US – no matter how deep the recruiter's pockets. Whiteson, who will continue to work as a professor of computer science at Oxford, added: "By joining Waymo, we are taking a big leap towards realising our ambition of safe, self-driving vehicles. In just two years, we have made significant progress in using imitation learning to simulate real human behaviours on the road. I'm excited by what we can now achieve in combining this expertise with the talent, resources and progress Waymo have already made in self-driving technology."
High-resolution radar and night vision cameras may help scientists protect bats from untimely deaths at wind farms, according to new research. Researchers are using these technologies to provide more specific details about the number of bats killed by wind turbines in Iowa. These details will improve scientists' understanding of bat activity and potentially save their lives, said Jing Teng, a graduate researcher at the University of Iowa who presented the work this week at the 2019 American Geophysical Union Fall Meeting in San Francisco. This work has broad impacts, according to Teng. "The more bats you kill, the more insects you have on farms; then, farmers will put more pesticides; and then, people will eat more pesticides," he said.