In this podcast, the Radio Free HPC team looks at D-Wave’s new open source software for quantum computing. The software is available on github along with a whitepaper written by Cray Research alums Mike Booth and Steve Reinhardt. “The new tool, qbsolv, enables developers to build higher-level tools and applications leveraging the quantum computing power of systems provided by D-Wave, without the need to understand the complex physics of quantum computers.”
“Just as a software ecosystem helped to create the immense computing industry that exists today, building a quantum computing industry will require software accessible to the developer community,” said Bo Ewald, president, D-Wave International Inc. “D-Wave is building a set of software tools that will allow developers to use their subject-matter expertise to build tools and applications that are relevant to their business or mission. By making our tools open source, we expand the community of people working to solve meaningful problems using quantum computers.”
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.
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.”
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.”
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.
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.”
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.”
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.
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.”