A Tokyo-based startup recognized for its laundry-folding robot has gained entry to an international competition for venture firms, and hopes to represent Japan as a country of innovation. Seven Dreamers Laboratories Inc. was chosen as Japan's entry for the Startup World Cup on Wednesday night in Tokyo, beating out nine other competitors in a business presentation contest. The Startup World Cup was launched last year by Silicon Valley-based Fenox Venture Capital with the aim of connecting more startups and investors worldwide. The final round in this year's competition will be held in San Francisco in May, and will feature 32 firms that have each won their regional preliminary rounds. The overall winner will receive a $1 million (about ¥113 million) investment.
Join us on the 26th of October for presentations about some of the technologies and workshops you'll find at the BuzzConf Technology Festival this year. This month is packed with presentations on Arduinos, Insertable Technology, Voice Assistants, Deep Learning & Maker Culture. Tickets are also now on sale for the festival in December, but if you haven't yet got a ticket and want to see what all the buzz is about first - this is a great session to come down to! You can also see videos from many of our events on YouTube. Held in The Loop Bar in Melbourne, there will be plenty of options to eat and drink late into the night!
Key Points: – Businesses spend $1.3 trillion on 265 billion customer service calls each year – Chatbots can help businesses save on customer service costs by speeding up response times, freeing up agents for more challenging work, and answering up to 80% of routine questions – Learn how you can increase productivity and performance at your call centers by seamlessly integrating chatbots and live agents It's 3 AM on a Monday. Maria, a product design engineer, is preparing her presentation of a new ergonomic adjustable standing desk. The weekend flew by, and now it's crunch time to finalize the presentation. Maria opens the product design application, and starts the login process and the application requests an activation code. Maria frantically looks for the code in her email and cloud storage, but to no avail.
Alphabet Inc., Facebook Inc., Amazon.com Inc., Apple Inc. and others are hunting for new areas of growth--often on each other's turf--as they enjoy soaring revenues and stock prices. They are poised to bump into each other across the board, in online sports viewing, movies, news and even podcasting. Up for grabs is an extra $300 billion a year in revenues that Activate projects will flow into the $1.7 trillion global consumer media and internet market by 2021, through growing internet-access fees, ads and paid content. Activate estimates the market will grow 4.1% a year. Consumers' time, though, is already stretched, with young people in particular tethered to devices much of the day.
My Keynote was about « Physics laws & Big Data » . I tried to explain to attendees that as Physics is the science of nature ( word etymology), the principles discovered by physicians & scientific methods that they used could be potentially be useful for Big Data projects. Elastic is the company behind the well-know products Elasticsearch & ELK stack based in San Francisco but thier job offers are very different from other growing start-ups. The aim of this keynote was to present how they build thier Iot Infrastructure based on AWS managed services.
The Google Pixel Buds are wireless headphones designed for use with the company's new Pixel 2 handset. But if you tell it to "Help me speak Japanese" and then start speaking in English, the phone's speakers will output your translated words as you speak them. Earlier this year, Microsoft debuted its PowerPoint "Presentation Translator" add-in. You'll still have plenty of nonverbal and culturally insensitive means of putting your foot in your mouth but until we make like the Empire and develop Galactic Standard, Google's Pixel Buds are our new best bet for understanding one another.
"Machine learning (ML) today is frustrating. However, what I would have vastly benefited from was an ML / AI assistant that pulls together all decision relevant context so that I can make a fully informed decision quickly and without digging into the raw data myself. Strategic importance: Are these features relevant to win strategically relevant deals? The product inventory pages of the ERP loading slower and slower is due to a code push of a seemingly unrelated marketing automation system that hammers the ERP's API to pull large number of full resolution product pictures.
Dr. Weng-Keen Wong from the NSF echoed much the same distinction between the specific and general case algorithm during his talk "Research in Deep Learning: A Perspective From NSF" and was also mentioned by Nvidia's Dale Southard during the disruptive technology panel. Tim Barr's (Cray) "Perspectives on HPC-Enabled AI" showed how Cray's HPC technologies can be leveraged for Machine and Deep Learning for vision, speech and language. Fresh off their integration of SGI technology into their technology stack, the talk not only highlighted the newer software platforms which the learning systems leverage, but demonstrated that HPE's portfolio of systems and experience in both HPC and hyper scale environments is impressive indeed. Stand-alone image recognition is really cool, but as expounded upon above, the true benefit from deep learning is having an integrated workflow where data sources are ingested by a general purpose deep learning platform with outcomes that benefit business, industry and academia.
Thanks in part to research at the University of Toronto, Canada has emerged as an early leader in the artificial intelligence revolution – but truly reaping its rewards will require political vision, an ongoing commitment to diversity and an appetite for winning that, outside of hockey, is rather un-Canadian. U of T, for one, boasts several entrepreneurship hubs on campus, including the Department of Computer Science Innovation Lab and the Creative Destruction Lab (CDL) at the Rotman School of Management – both of which have a heavy focus on AI-powered startups. Urtasun, who is one of Vector's co-founders, used the rest of her time on the stage to explain her work with Uber and the significant challenges associated with developing self-driving cars, a category of transportation she said promises to dramatically reduce accidents and congestion – providing that it's implemented alongside public transit solutions. Sanja Fidler, an assistant professor in U of T's department of computer science, told attendees about her work developing computer vision so AI-powered robots can better understand and interact with the world around them.
We'll be hosting at a new location - so try not to show up to Greenhouse's office:) Brian is the Head of Data Science at Zocdoc, an online doctor marketing place and booking tool, and is also an Adjunct Professor for NYU's Center for Data Science graduate program. Pedro is the Head of Search Engineering at Zocdoc, and online marketplace and booking tool. Pedro is a technology lead with over 15 years of experience dealing with operating systems, electronic trading systems, and full stack web development. At Zocdoc, we have built a patient friendly search system to power our core doctor discovery and booking platform using various products from the AWS stack and custom Machine Learning pipelines.