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New ReRAM Memory Can Process Data Where it Lives

A team of international scientists have found a way to make memory chips perform computing tasks, which is traditionally done by computer processors like those made by Intel and Qualcomm. This means data could now be processed in the same spot where it is stored, leading to much faster and thinner mobile devices and computers. This type of chip is one of the fastest memory modules that will soon be available commercially.

a16z Podcast Looks at Artificial Intelligence and the Space of Possible Minds

In this a16z Podcast, Murray Shanahan, Azeem Azhar, and Tom Standage discuss the past, present, and future of A.I. as well as how it fits (or doesn’t fit) with machine learning and deep learning. “Where are we now in the A.I. evolution? What players do we think will lead, if not win, the current race? And how should we think about issues such as ethics and automation of jobs without descending into obvious extremes? All this and more, including a surprise easter egg in Ex Machina shared by Shanahan, whose work influenced the movie.”

Podcast: Deep Learning 101

In this AI Podcast, Host Michael Copeland speaks with NVIDIA’s Will Ramey about the history behind today’s AI boom and the key concepts you need to know to get your head around a technology that’s reshaping the world. “AI has been described as ‘Thor’s Hammer’ and ‘the new electricity.’ But it’s also a bit of a mystery – even to those who know it best. We’ll connect with some of the world’s leading AI experts to explain how it works, how it’s evolving, and how it intersects with every facet of human endeavor.”

Princeton Research on Electron-photon Small-talk Could have Big Impact on Quantum Computing

In a step that brings silicon-based quantum computers closer to reality, researchers at Princeton University have built a device in which a single electron can pass its quantum information to a particle of light. The particle of light, or photon, can then act as a messenger to carry the information to other electrons, creating connections that form the circuits of a quantum computer.

European PHENOMEN Project to Develop First Optically-driven Phonon Sources and Detectors

The Polytechnic University of Valencia (UPV) is taking part in the European PHENOMEN project, which kicked off last September. Funded through the FET-Open program, it aims to lay the foundations of a new information technology. “PHENOMEN is a ground-breaking project that will combine advances in photonics, mechanics and electronics to develop the first optically-driven phonon sources and detectors, all at the nano scale.”

Podcast: Where Deep Learning Is Going Next

In this Nvidia podcast, Bryan Catanzaro from Baidu describes how machines with Deep Learning capabilities are now better at recognizing objects in images than humans. “AI gets better and better until it kind of disappears into the background,” says Catanzaro — NVIDIA’s head of applied deep learning research — in conversation with host Michael Copeland on this week’s edition of the new AI Podcast. “Once you stop noticing that it’s there because it works so well — that’s when it’s really landed.”

Matthias Troyer from Microsoft to Speak on Quantum Computing at PASC17

Today the PASC17 Conference announced that Matthias Troyer from Microsoft Research will give this year’s public lecture on the topic “Towards Quantum High Performance Computing.” The event will take place June 26-28 in Lugano, Switzerland.

Japan to Build 130 Petaflop ABCI Supercomputer

Today Japan announced plans to build a 130 Petaflop (half precision) supercomputer for deployment in 2017. And while such a machine would not surpass the current #1 93 Petaflop Sunway TaihuLight supercomputer in China, it would certainly propel Japan to the top of an all new category of supercomputing leadership. “ABCI is an open innovation platform with computing resources of more than hundred petaflops for world-class AI R&D. Through industry and academia collaboration, Algorithms, Big Data, and Computing Power will be leveraged in a single common public platform. ABCI will rapidly accelerate the deployment of AI into real businesses and society.”

Exascale Computing Project Gains Momentum Entering Year 2

In this video from SC16, Paul Messina and Stephen Lee describe the mission, status, and recent milestones of the Exascale Computing Project. Now entering its second year, the ECP recently announced that it has selected four co-design centers as part of a 4 year, $48 million funding award. It also announced the selection of 35 software development proposals representing 25 research and academic organizations.

Liquid Silicon Could Bridge the Gap Between Computation and Storage

Researchers at the University of Wisconsin–Madison are developing new computer chips that combine tasks usually kept separate by design. According to assistant professor Jing Li, these “liquid silicon” chips can be configured to perform complex calculations and store massive amounts of information within the same integrated unit — and communicate efficiently with other chips. “There’s a huge bottleneck when classical computers need to move data between memory and processor,” says Li. “We’re building a unified hardware that can bridge the gap between computation and storage.”