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Using Artificial Intelligence to Rapidly Identify Brain Tumors

The use of artificial intelligence and, in particular, machine learning is becoming increasingly popular in research. Such systems excel at high-speed data analysis, interpretation, and laborious research tasks, such as image assessment. One of the areas in which machine learning has been enjoying success is image recognition. Now, researchers have begun to use machine learning to analyze brain tumors.

One of the areas in which machine learning has been enjoying success is image recognition. Now, researchers have begun to use machine learning to analyze brain tumors.

No Inflation? Technology May Have Left it Back in the 20th Century

These are a tiny fraction of the examples of how our economy differs from the 20th century industrial economy. Similar changes are under way in the developing world, as labor gives way to robotics and basic goods become affordable and accessible to the planet’s billions. Given those changes, why would 20th century models of prices and rates and money supply work as they used to work?

We like to believe that there are “laws of economics” and past patterns to guide us, but, as Yellen indicated, there is now “considerable uncertainty.” It may feel safer to trust that past patterns will reassert themselves. But maybe policymakers should weigh more heavily the chance that the patterns have changed.


The Federal Reserve takes a 20th-century approach to managing a 21st-century economy.

Google’s New AI Can Mimic Human Speech Almost Perfectly

Last year, artificial intelligence (AI) research company DeepMind shared details on WaveNet, a deep neural network used to synthesize realistic human speech. Now, an improved version of the technology is being rolled out for use with Google Assistant.

A system for speech synthesis — otherwise known as text-to-speech (TTS) — typically utilizes one of two techniques.

Concatenative TTS involves the piecing together of chunks of recordings from a voice actor. The drawback of this method is that audio libraries must be replaced whenever upgrades or changes are made.

Inside the Adidas Factory That Uses Robots to Build Running Shoes

How much faster can you build a sneaker, exactly? A lot, it turns out. Wired UK has paid a visit to Adidas, which is hauling shoe manufacturing from labor-intensive Chinese plants into the aptly named Speed Factories in America and Germany.

Using tricks like robotic knitting, advanced plastic forming, and 3D printing (which is provided by Carbon, one of our 50 Smartest Companies of 2017) Adidas plans to make even custom sneakers 90 times faster than it can right now. It plans to crank out 1 million pairs of shoes a year from two Speed Factories—one in Atlanta, Georgia, the other in Bavaria, Germany—by the end of 2017.

Such innovation, it hopes, will allow it to remain competitive with Nike and Under Armor, which currently dominate the sportswear world.

The Singularity Must Be Decentralized

The research community is beginning to understand that motivations are not a human “artifact” of consciousness, but part of the essential glue that binds consciousness together. Without motivations we have nothing that holds us to this vessel, ensuring that we continue to eat, pay our rent, and do other things necessary for our survival. Conscious machines will for this reason have motivations as well. Otherwise they simply just wouldn’t function. This is an important point because talk of the singularity often brings up visions of a single integrated “machine” that will inevitably enslave humanity. A better question is:

“Will AI be used to gain immense advantage for a single party (whether that party is the AI itself or the human that controls it), or will AI be used to maximize benefit for us all?”

Even if the AIs have interfaces that allow them to share information more rapidly than humans can through reading or watching media, separate AIs will have separate motivations from a single centralized AI. Given that a signature of consciousness is motivation, any consciousness will obviously be motivated to secure all the resources it needs to ensure its survival. In some cases, the most efficient way to secure resources is sharing. In other cases, it’s through competition. AIs might share resources, but they might also compete.

Career Advice for Learners in Artificial Intelligence AI and Machine Learning

Yann LeCun is Director of AI Research at Facebook and Silver Professor at New York University, affiliated with the Courant Institute, the Center for Neural Science and the Center for Data Science, for which he served as founding director until 2014. He received an EE Diploma from ESIEE (Paris) in 1983, a PhD in Computer Science from Université Pierre et Marie Curie (Paris) in 1987.

After a postdoc at the University of Toronto, he joined AT&T Bell Laboratories. He became head of the Image Processing Research Department at AT&T Labs-Research in 1996, and joined NYU in 2003 after a short tenure at the NEC Research Institute. In late 2013, LeCun became Director of AI Research at Facebook, while remaining on the NYU Faculty part-time. He was visiting professor at Collège de France in 2016.

Robots are replacing fast food workers at new Shake Shack

It’s the future of fast food bytes in the Big Apple.

Robots will replace humans and cash won’t be accepted at a soon-to-open Shake Shack in the East Village, reps for the popular burger chain said Monday.

Customers will place orders via an app and at touch-screen kiosks inside the restaurant, which is scheduled to open an Astor Place branch later this month, according to company CEO Randy Garutti.