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Video Friday: Sony's Home Robot, MegaBots Duel, and Six-Legged Zebros

IEEE Spectrum Robotics Channel

Video Friday is your weekly selection of awesome robotics videos, collected by your Automaton bloggers. We'll also be posting a weekly calendar of upcoming robotics events for the next two months; here's what we have so far (send us your events!): Let us know if you have suggestions for next week, and enjoy today's videos. I like the design, but it costs over $1,100. Apollo is a fixed-base manipulation platform at the Max Planck Institute for Intelligent Systems who seems to enjoy playing with puny humans.


Vision is the next big challenge for chips

ZDNet

In my previous post on the recent Linley Processor Conference, I wrote about the ways that semiconductor companies are developing heterogeneous systems to reach higher levels of performance and efficiency than with traditional hardware. One of the areas where this is most urgently needed is vision processing, a challenge that got a lot of attention at this year's conference. The obvious application here is autonomous vehicles. One of the dirty secrets of self-driving cars is that today's test vehicles rely on a trunk full of electronics (see Ford's latest Fusion Hybrid autonomous development vehicle below). Sensors and software tend to be the big focus, but it still requires a powerful CPU and multiple GPUs burning hundreds of watts to process all this data and make decisions in real-time.


Big Data, Big Solutions and How Machine Learning Will Help Bring Businesses into the Future - insideBIGDATA

@machinelearnbot

In this special guest feature, Ran Sarig, Co-founder and CEO of Datorama, discusses the importance of applying machine learning to data integration or'cleansing' processes with speed and at a scale in order to keep up with the ever increasing number of data sources. And why Big Data needn't be a big mess anymore. Ran has 14 years of management, product, engineering and leadership experience. He co-founded Datorama in 2012 and is its chief executive officer. Prior to this, he worked for MediaMind as its VP of R&D where he managed a group of 130 engineers and product managers.


Machine Learning And The Future of Finance

#artificialintelligence

Artificial intelligence has conquered games and image recognition, but will it master investing? The short answer is yes, but how soon and how complete? Machine learning methods have had impressive recent successes. These include defeating humans at chess, Jeopardy, poker and Go, as well as providing superior image and speech recognition. Developers strive to create tools that automate decision making and that can mimic or exceed human performance for specific tasks.


To Survive the Streets, Self-Driving Cars Have to Start Thinking Like Humans

#artificialintelligence

Next time you're driving down the road or walking down the street, pause to consider how you read your surroundings. How you pay extra attention to the kid kicking a soccer ball around her front lawn and the slightly wobbly, nervous looking cyclist. How you deprioritize the woman striding toward the street, knowing she's heading for the group of friends waving to her from the sidewalk. You make these calls by drawing on a lifetime of social and cultural experience so ingrained you hardly need to think about it. But imagine you're an autonomous car trying to do the same thing, without that accumulated knowledge or the shared humanity that lets you read others' nuanced behavioral cues.


Lyft gets $1bn from Google to rev up challenge to Uber

Daily Mail

US ridesharing giant Lyft announced Thursday it has received a $1 billion investment led by the venture arm of Google parent Alphabet, to help ramp up its challenge to market leader Uber. Lyft said the new funding gives it a valuation of $11 billion as it steps up competition against Uber, reeling from a series of missteps and scandals which have forced out its founder and chief executive. A Lyft blog post said the new funding round was led by CapitalG, formerly known as Google Capital, which invests in emerging tech firms. Lyft's latest capital injection of $1 billion led by Google parent Alphabet boosts the valuation of the ridesharing firm to $11 billion Lyft and Alphabet already have a relationship through a partnership Lyft struck with Waymo, Alphabet's self-driving car unit, in May. The two companies are collaborating on bringing autonomous vehicle technology to market, but have not provided many details.


Online learning: Machine learning's secret for big data

#artificialintelligence

In the field of machine learning, online learning refers to the collection of machine learning methods that learn from a sequence of data provided over time. In online learning, models update continuously as each data point arrives. You often hear online learning described as analyzing "data in motion," because it treats data as a running stream and it learns as the stream flows. Classical offline learning (batch learning) treats data as a static pool, assuming that all data is available at the time of training. Given a dataset, offline learning produces only one final model, with all the data considered simultaneously.


GITEX Technology Week and GITEX Future Stars: News Highlights – Day 1

#artificialintelligence

Dr. Werner Vogels, Chief Technology Officer at Amazon.com, made his first regional keynote speech at GITEX Technology Week today. Speaking on how an experimental mindset helps drive continuous innovation on a worldwide scale, he highlighted how digital acceleration can create new opportunities and extolled entrepreneurs to work on things that truly differentiate their businesses. At this afternoon's keynote, Dr. Vogels said that the most disruptive businesses in the Middle East are powered in the cloud. Dr. Vogels expressed his excitement to announce that the company is building a presence in the Middle East, which will allow it to harness the power of technology to create a rich featured infrastructure platform for startups and big businesses in the region. Meanwhile, Mike Sutcliff, Group Chief Executive of Accenture Digital at his keynote address highlighted the role technology will play across the private and government sectors.


Leveraging Artificial Intelligence & GPUs for Cybersecurity

#artificialintelligence

Artificial Intelligence (AI) presents a significant opportunity to solve problems previously either not easy to solve or worse, not possible to solve. The combination of AI along with today's Graphics Processing Unit (GPU) technology provides an added boost to those leveraging sophisticated algorithms in their deep learning solutions. These sophisticated systems are able to train deep learning models and ultimately lead to predictive insights. The objective is to move from reactive to proactive and finally to predictive insights. The breadth of opportunities that AI presents is wide, however, a significant opportunity is in the Cybersecurity space.


To Survive the Streets, Self-Driving Cars Must Learn to Think Like Humans

WIRED

Next time you're driving down the road or walking down the street, pause to consider how you read your surroundings. How you pay extra attention to the kid kicking a soccer ball around her front lawn and the slightly wobbly, nervous looking cyclist. How you deprioritize the woman striding toward the street, knowing she's heading for the group of friends waving to her from the sidewalk. You make these calls by drawing on a lifetime of social and cultural experience so ingrained you hardly need to think about it. But imagine you're an autonomous car trying to do the same thing, without that accumulated knowledge or the shared humanity that lets you read others' nuanced behavioral cues.