Machine learning is Big Data being used at its most extreme level, processing vast and disparate data sets at a machine level to find patterns buried within, producing insights beyond human recognition.
Earlier this month, we reported on IBM’s Watson Mobile Developer Challenger Challenge, where IBM held an elite competition to give top developers access to their supercomputer Watson. Now, the Watson team are what VentureBeat is calling a “hiring binge”, trying to source to top minds in New York’s startups to
Yesterday, Microsoft announced Azure ML, a new machine learning service on the cloud-based Azure platform. The service will allow users to build big data-based apps and APIs to predict future events. The platform uses machine learning capabilities already seen in Microsoft’s Bing and Xbox, using predefined workflows and templates to
Five Labs profile of Yahoo CEO, Marissa Mayer We live in era of self-archiving. Of course, this has its advantages; it can help you promote projects, brands, and potentially even land you a job. But the problem with self-archiving and social media is you can never know exactly who’s paying
Since 2003, New York has been using the “311” service to field non-emergency calls and questions. In a thriving and ever-developing hub such as New York, there have been alot of questions to answer- the Manhattan call centre receives 60,000 enquiries a day via phone, text, web and mobile app.
IBM has announced the winners of their Watson Mobile Developer Challenge, a competition which invited developers to design apps using the cognitive processing abilities of IBM’s Supercomputer Watson. Teams from 18 industries and more than 43 countries submitted upwards of 400 business concepts for the challenge. This was narrowed down
Automatic translation of written text has become fairly ubiquitous and commonplace on the internet- you’d be hard pushed to find someone who hasn’t leaned on Google or Bing translators once in a while. But now deep learning technology means that instant translations of speech may come to be just as
Not content with owning some of the most efficient data centres on the planet, Google are now using machine learning to gain a greater understanding of their server farms. At the Data Centres Europe conference, Google’s Joe Kava detailed how they were using neural networks to sift through the immense
Sumo Logic, whose software manages and analyses IT log files, has raised $30 million in its latest round of funding, bringing their total funding to $80.5 million. The funding round was led by Sequoia Capital, with exisiting investors Greylock Partners, Sutter Hill Ventures, and Accel Partners also participating. “We have
Monday saw the unveiling of Tamr, a scalable platform for data curation, at the Databeat Conference in San Francisco. Founders Andy Palmer and Michael Stonebraker also announced they had accrued an impressive $16 million of first-round funding from Google Ventures and New Enterprise Associates. Palmer and Stonebraker came up with
The Chinese search giant, Baidu, announced last week that it has hired the head of Google’s “deep learning” project, Andrew Ng. Ng will now assume the role of chief data scientist for Baidu’s new research initiative, taking the lead of labs in Beijing and Sunnyvale, California. “Andrew is the ideal