Pacific Ocean
Detroit Battles for the Soul of Self-Driving Machines
Bibhrajit Halder left the Midwest and a job developing autonomous trucks for Caterpillar Inc. CAT -1.46 % about a year and a half ago to join Ford Motor Co. F -1.21 % in the San Francisco Bay Area, where the auto maker is working on self-driving vehicles. The Dearborn, Mich., auto maker, however, soon lost the software engineer to Faraday Future Inc., an electric-car startup luring auto industry veterans with Silicon Valley-like perks including stock options, free health care, catered lunches and foosball tables. "The work is exciting," Mr. Halder said in an interview about six months after joining Faraday, where he says he has more responsibility than at the blue chip companies he left. "The company is dependent on you to deliver."
E3 2016 Rumor Roundup: All The Video Game Leaks, Reveals And Trailers In One Place
The Electronic Entertainment Expo, also known as E3, will be prefaced by Bethesda Softworks and Electronic Arts press conferences Sunday, but a lot of news has already leaked ahead of the big event. Several big games have been revealed, and rumblings about new Microsoft, Nintendo and Sony video game consoles have been swelling for months. Based on the rumors, E3 2016 at the Los Angeles Convention Center June 14-16 is shaping up to be a fascinating event that could have a great effect on the video game industry. Nothing gets gamers' blood flowing like a good console unveiling. E3 is the place where consoles are launched, which is why 2016 is an odd year in the event's history.
The Dragon Muscles In: Growing Number Of Victories In Chinese Arms Exports Popular Science
Apart from its Russian engines, the J-20 is completely made and designed in China. And even then, future J-20s will be flying with a more powerful domestic engine, the WS-15, by 2021. In line with its increasingly sophisticated domestic arsenal, China's arms exports have become much more technically competitive in the last ten years; the 2015 U.S. Defense Department's Annual Report on the PLA even stated that China's ground systems in particular are globally competitive or nearly globally competitive. With selling points of low cost and affordable service, lack of geopolitical strings and upgrade packages, China has become the world's third largest arms exporter behind the US and Russia. With a series of recent contracting wins against Russian firms, it looks to expand its market share.
White House Challenges Artificial Intelligence Experts to Reduce Incarceration Rates
The U.S. spends 270 billion on incarceration each year, has a prison population of about 2.2 million and an incarceration rate that's spiked 220 percent since the 1980s. But with the advent of data science, White House officials are asking experts for help. On Tuesday, June 7, the White House Office of Science and Technology Policy's Lynn Overmann, who also leads the White House Police Data Initiative, stressed the severity of the nation's incarceration crisis while asking a crowd of data scientists and artificial intelligence specialists for aid. "We have built a system that is too large, and too unfair and too costly -- in every sense of the word -- and we need to start to change it," Overmann said, speaking at a Computing Community Consortium public workshop. She argued that the U.S., a country that has the highest amount incarcerated citizens in the world, is in need of systematic reforms with both data tools to process alleged offenders and at the policy level to ensure fair and measured sentences.
Robots Are Invading Malls (and Sidewalks) Near You
At the upscale Stanford Shopping Center in Palo Alto, California, people are taking selfies with a roving robot that looks like a cross between Wall-E's girlfriend and R2D2. It's actually a K5 robot security guard--a 300-pound, sensor-filled droid made by a startup called Knightscope that patrols the area and detects suspicious behavior. K5 is part of a small but growing number of human-scale mobile robots that are finding employment outside the confines of industrial settings like factories. They're invading consumer spaces including retail stores, hotels, and sidewalks in a quest to deliver services alongside human staff members for a fraction of the price of employing people to do a variety of typically unexciting tasks. The machines come with navigation capabilities and safety features to allow them to perform simple jobs autonomously without putting people at risk.
Apps That Aim To Give Parents 'Superpowers'
I'm hanging out with my 4-year-old daughter in the early evening, trying to keep her entertained and pull dinner together, when my phone buzzes. Normally I'd feel guilty for checking it immediately, and distracted even if I didn't. It's a timely suggestion from an app called Muse. Here's what it says: "Try playing'Simon Says' with L,. using directional words like: behind, around, between. 'Simon Says stand between the chairs.')" I can even call out the commands while chopping vegetables.
White House Challenges Artificial Intelligence Experts to Reduce Incarceration Rates
The U.S. spends 270 billion on incarceration each year, has a prison population of about 2.2 million and an incarceration rate that's spiked 220 percent since the 1980s. But with the advent of data science, White House officials are asking experts for help. On Tuesday, June 7, the White House Office of Science and Technology Policy's Lynn Overmann, who also leads the White House Police Data Initiative, stressed the severity of the nation's incarceration crisis while asking a crowd of data scientists and artificial intelligence specialists for aid. "We have built a system that is too large, and too unfair and too costly -- in every sense of the word -- and we need to start to change it," Obermann said, speaking at a Computing Community Consortium public workshop. She argued that the U.S., a country that has the highest amount incarcerated citizens in the world, is in need of systematic reforms with both data tools to process alleged offenders and at the policy level to ensure fair and measured sentences.
With 14M investment from top VCs, Ozlo opens Seattle office to help develop 'personal' AI chatbot
Google, Apple, Microsoft, Amazon, Facebook, and other tech giants are all building their own "bots" that utilize artificial intelligence and machine learning. There are a bevy of other startups doing the same, developing conversational technology that can help humans with everyday tasks. But one small company out of Palo Alto, Calif. is building a virtual assistant that it believes is differentiated and special -- and some top investors seem to agree. Ozlo is a new Silicon Valley startup that last month reeled in 14 million investment round from Greylock and AME Cloud Ventures, a fund started by Yahoo co-founder Jerry Yang. It also just opened its first remote office in Seattle and plans to move into a permanent location next month, with room for up to 25 employees.
AI Software Comes Alive
It's been a big month for artificial intelligence. On May 9, a hot startup unveiled a shape-shifting personal assistant. On May 12, a legacy computer company that thinks it's a startup shifted a platform to cyber security. VIV is the product of two artificial intelligence wunderkinds, Das Kittlaus and Adam Cheyer. They've been tinkering with the smart frontier of software for the better part of 15 years. In fact, the two were working on natural language programs at DARPA long before working at that defense project was cool.
Unsupervised Discovery of El Nino Using Causal Feature Learning on Microlevel Climate Data
Chalupka, Krzysztof, Bischoff, Tobias, Perona, Pietro, Eberhardt, Frederick
We show that the climate phenomena of El Nino and La Nina arise naturally as states of macro-variables when our recent causal feature learning framework (Chalupka 2015, Chalupka 2016) is applied to micro-level measures of zonal wind (ZW) and sea surface temperatures (SST) taken over the equatorial band of the Pacific Ocean. The method identifies these unusual climate states on the basis of the relation between ZW and SST patterns without any input about past occurrences of El Nino or La Nina. The simpler alternatives of (i) clustering the SST fields while disregarding their relationship with ZW patterns, or (ii) clustering the joint ZW-SST patterns, do not discover El Nino. We discuss the degree to which our method supports a causal interpretation and use a low-dimensional toy example to explain its success over other clustering approaches. Finally, we propose a new robust and scalable alternative to our original algorithm (Chalupka 2016), which circumvents the need for high-dimensional density learning.