Google’s ‘DeepMind’ AI platform can now learn without human input

DeepMind is now capable of teaching itself based on information it already possesses.

In a significant step forward for artificial intelligence, Alphabet’s hybrid system — called a Differential Neural Computer (DNC) — uses the existing data storage capacity of conventional computers while pairing it with smart AI and a neural net capable of quickly parsing it.

“These models can learn from examples like neural networks, but they can also store complex data like computers,” wrote DeepMind researchers Alexander Graves and Greg Wayne.

Much like the brain, the neural network uses an interconnected series of nodes to stimulate specific centers needed to complete a task. In this case, the AI is optimizing the nodes to find the quickest solution to deliver the desired outcome. Over time, it’ll use the acquired data to get more efficient at finding the correct answer.

The two examples given by the DeepMind team further clear up the process:

1. After being told about relationships in a family tree, the DNC was able to figure out additional connections on its own all while optimizing its memory to find the information more quickly in future searches.
2. The system was given the basics of the London Underground public transportation system and immediately went to work finding additional routes and the complicated relationship between routes on its own.

Instead of having to learn every possible outcome to find a solution, DeepMind can derive an answer from prior experience, unearthing the answer from its internal memory rather than from outside conditioning and programming. This process is exactly how DeepMind was able to beat a human champion at ‘Go’ — a game with millions of potential moves and an infinite number of combinations.

Depending on the point of view, this could be a serious turn of events for ever-smarter AI that might one day be capable of thinking and learning as humans do.

Or, it might be time to start making plans for survival post-Skynet.

via ScienceAlert

LinkedIn Launches its Online Learning Portal With Over 9,000 Courses

LinkedIn, the business-focused social network which Microsoft recently bought for an astounding $26 Billion, is now trying to turn over a new leaf. They have now introduced a new online-learning section with over 9,000 courses covering everything from coding and programming to writing and accounting.

Called “LinkedIn Learning”, it is built on content taken from the popular e-learning portal, Lynda. LinkedIn acquired the portal back in 2015 for $1.5 billion and is now finally making full use of their plethora of courses.

What is LinkedIn Learning?

LinkedIn Learning is an ambitious e-learning portal tailored to individuals. The subjects available include business, technology, and creative topics. The social network has also added some extra features to make the online learning system work better with their business-minded goal. Consequently, businesses looking to keep training their employees and even educational institutions exploring e-learning courses can make use of the portal.

Currently, individuals looking to start learning through LinkedIn will have to sign-up for LinkedIn’s Premium service. Once signed up, LinkedIn Premium users will get 25 new courses every week. You can also try out LinkedIn Learning for free for a whole month.

LinkedIn Learning for Business

Employers and HR managers can recommend courses for their employees and then track their performance through LinkedIn’s analytics products. The analytics tools can not only monitor employees’ progress but also look at the wider range of what is being studied as a point of reference.

The company has also said that they will soon be releasing an enterprise tier so that large companies can take subscriptions for their entire employee base.

Apart from its e-learning initiative, LinkedIn has introduced a handful of other changes. They announced an updated design for their desktop website which will come with a revamped newsfeed as well as new messaging features.