Google launches TensorFlow 0.8 with support for distributed model training.

Google today is announcing the release of version 0.8 of its TensorFlow open-source machine learning software. The release is significant because it supports the ability to train machine learning models on more than just a single machine.

TensorFlow can be used for a type of artificial intelligence called deep learning, which involves training artificial neural networks on lots of data and then getting them to make inferences about new data. Training is a crucial step in the process.

DataRobot Downloads $33M as Machine Learning Eats the World.

Machine learning is the new big data. Combine the two fields, and you really have something.

Boston-area startup DataRobot has raised a $33 million Series B round, led by New Enterprise Associates. Other participating investors included Accomplice, Intel Capital, and IA Ventures. The new money brings the company’s total raised to more than $57 million.

Deep Learning Machine Teaches Itself Chess in 72 Hours, Plays at International Master Level.

It’s been almost 20 years since IBM’s Deep Blue supercomputer beat the reigning world chess champion, Gary Kasparov, for the first time under standard tournament rules.  Since then, chess-playing computers have become significantly stronger, leaving the best humans little chance even against a modern chess engine running on a smartphone.

But while computers have become faster, the way chess engines work has not changed. Their power relies on brute force, the process of searching through all possible future moves to find the best next one.

Microsoft Says Programmable Chips Will Make AI Software Smarter.

Recent breakthroughs in how accurately software can recognize images and speech came thanks to additional computing power behind a technique known as deep learning. Microsoft now reports progress on an idea that could put even greater muscle behind the technique. A practical way to power up deep learning software even more could lead to further significant advances in the intelligence of machines.

Artificial intelligence startup DigitalGenius raises $3M to help companies automate customer service.

Artificial intelligence (AI) startup DigitalGenius has announced its first venture capital funding, nabbing $3 million in a round led by Metamorphic Ventures, with participation from Lerer Hippeau Ventures, Lowercase Capital, RRE Ventures, Lumia Capital, and a handful of “strategic” angel investors.

The New York-based company’s platform automates question-and-answer conversations, perfect for companies that want to offer a text-based customer support service without requiring actual people. Tapping a multitude of data sources, DigitalGenius’ technology uses machine learning and natural language processing (NLP) that tries to replicate “friendly” human-like attributes.

How machine learning will fuel huge innovation over the next 5 years

Machine learning is coming into a golden age, and with it we’re seeing an awakening of possibilities formerly reserved for science fiction.

Machine learning (ML) is a computer’s way of learning from examples, and it’s one of the most useful tools we have for the construction of artificial intelligence (AI). It begins with the design of an algorithm that learns from collected data, creating machines that in most cases become smarter as data volumes intensify.

PredictionIO Raises $2.5M For Its Open Source Machine Learning Server

Aiming to do for Machine Learning what MySQL did for database servers, U.S. and UK-based PredictionIO has raised $2.5 million in seed funding from a raft of investors including Azure Capital, QuestVP, CrunchFund (of which TechCrunch founder Mike Arrington is a Partner), Stanford University’s StartX Fund, France-based Kima Ventures, IronFire, Sood Ventures and XG Ventures. The additional capital will be used to further develop its open source Machine Learning server, which significantly lowers the barriers for developers to build more intelligent products, such as recommendation or prediction engines, without having to reinvent the wheel.

Wise.io grabs $2.5M to bring machine learning for the cosmos right to your business.

he founders of Wise.io first developed their machine learning technology to help astronomers discover and categorize new stars.

Now they’ve adapted it to help businesses identify important events in their data.

The Berkeley, Calif.-based startup announced today $2.5 million in new funding and a new chief executive with experience in data analytics, Jeff Erhardt.

IBM makes Watson available via API

IBM didn’t have to flaunt its debatable cloud dominance over Amazon Web Services on the sides of public buses if it wanted to upstage the cloud kingpin at its user conference this week — Big Blue could have just led with the news that its famous, Jeopardy!-champ-destroying Watson system is now available for as a cloud service. That’s right: Developers who want to incorporate Watson’s ability to understand natural language and provide answers need only have their applications make a REST API call to IBM’s new Watson Developers Cloud.
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