Monday, January 25, 2016

Machine Learning News Issue 1

Welcome to the Momenta Learning News on Machine Learning. This is issue 1, please share this post.

The machine learning problem of the next decade

We're used to computers being consistent and reliable. But as we build more and more complicated machine learning systems to do more and more things that people used to do, they become less consistent and less reliable. Businesses need to figure out how to integrate unreliable systems into their workflow to take advantage of machine learning.

New machine-learning technique could be used to uncover previously unknown features of organisms

A powerful new machine-learning technique can be applied to large datasets in the biological sciences to uncover previously unknown features of organisms and their genes, according to a team led by researchers from the Perelman School of Medicine at the University of Pennsylvania.

Avast: Inside The Brain Of An Antivirus Machine

Former world chess champion Garry Kasparov has said that if we make one mistake in computational intelligence, then this can be amplified and multiplied thousands of times.

What Is Deep Learning And Where Is It Headed?

These Questions originally appeared on Quora - the knowledge sharing network where compelling questions are answered by people with unique insights. Answers by Yoshua Bengio, Head of Montreal Institute for Learning Algorithms, on Quora. Q: Where is deep learning research headed?

Spectrim Automates Quality Control with Machine Learning > ENGINEERING.com

The Spectrim optical sorting platform recently launched for the food and beverage industry. The platform uses machine learning software to perform quality checks of fruit. Spectrim can detect hard to find external blemishes on fruit and automatically separate produce by grade using existing technology.

Microsoft Moves Its CNTK Machine Learning Toolkit To GitHub And MIT License

Microsoft today announced that it is making it easier for developers to use its Computational Network Toolkit (CNTK) to build their own deep learning applications. The company first open sourced this toolkit in April 2015, but at the time, it was hosted on Microsoft's own CodePlex site and was only available under a restrictive academic license.

Researchers use machine learning to understand synapses - The Tartan

Carnegie Mellon researchers, alongside others, are focusing on neurological research with the goal of gaining a deeper understanding of how specific parts of the brain relate to the organ's overall function. Currently, many specific functions are thought to be localized in certain parts of the brain.

An exciting era for computer technology

One has often wondered about the marvels of technology. Its speed, precision, uniformity and ease in accessibility has transcended from age-old PCs to the contemporary handheld devices. However, what if we told you that this progression was a gradual, expected phenomenon and we are yet to witness more fascinating capabilities of technology!

How 2 iSchool professors are undertaking the 'most complicated experiment' in gravitational physics

The National Science Foundation recently awarded two Syracuse University professors a $1 million grant to develop a citizen science system for a project being hailed as "the most complicated experiment ever undertaken in gravitational physics," according to the grant abstract.

The Rise of the Artificially Intelligent Hedge Fund

Last week, Ben Goertzel and his company, Aidyia, turned on a hedge fund that makes all stock trades using artificial intelligence-no human intervention required. "If we all die," says Goertzel, a longtime AI guru and the company's chief scientist, "it would keep trading." He means this literally.

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