Podcasts about intel nervana

In this episode, I will discuss Databricks getting a huge injection of funding, Paperspace offering free GPU compute to small businesses, the ambitious timeline of Tesla to achieve full-self-driving, the Intel Nervana family of processors, and the world's first AI university.

Guillaume Poggiaspalla vous livre tous les éléments d'actualité autour des composants, notamment à l'appui de l'événement annuel : Hot Chips 2019 ! Soutenez Tech Café sur Patreon ! Discutez avec nous sur Telegram ! CPNews Les puces Ice Lake 10nm de chez Intel. Comet Lake, la gamme Intel était trop lisible… Et encore de futurs Atoms... Cascade Lake vs Turing, qui a la plus grosse (puissance) en DP ? Epyc win : AMD roule sur les Xeons et reste Zen. Une surfaces Pro en Pentium II, c’est moins bien… Combien de Raspberry Pi pour faire un serveur ARM ? On peut faire la FinFet avec un SMIC. Les NAND en tiennent des couches : 96 chez Micron et 136 chez Samsung. Le changement c’est maintenant ? Le premier CPU en nanotubes. Hot Chips 31ème édition Intel Lakefield et Foveros. Ayar Lab, les puces hybrides : photoniques / électroniques. Intel Nervana et les futur NNP-I, NVIDIA multi chip, Huawei Da Vinci, Habana Goya. Cerebra : la puce géante à 1200 milliards de transistors. Sous les capots d’Hololens 2. IBM libère son POWER, dévoile ses power plans. Le futur selon TSMC. Faire les calculs sur place : UPMEM et Princeton In Memory Compute. Avec Guillaume Poggiaspalla Présentée par Guillaume Vendé (@guillaumevende)

Dr. Naveen Rao, Vice President and General Manager for the Artificial Intelligence Products Group (AIPG) at Intel, joins us to discuss the Intel® Nervana™ Neural Network Processor (NNP). Dr. Rao leads Intel's cross-company artificial intelligence efforts and works to deliver world-changing AI technologies. In this interview, Dr. Rao shares his excitement for Intel Nervana NNP's ability to transform AI processing through to its unique combination of deep-learning-optimized memory subsystems, Flexpoint integer math operations, and low-latency, high-bandwidth between-chip communications. Dr. Rao further speaks to Intel Nervana NNP's place in Intel's end-to-end AI solution portfolio. For more information on the Intel Nervana Neural Network Processor, please visit http://intelnervana.com.

Daman Oberoi, Program Manager for the Intel® Nervana™ AI Academy, joins us to discuss educating today's and tomorrow's developers and data scientists. The Intel Nervana AI Academy is a one-stop shop for people interested in AI and provides training for developers, students, professors, and scientists at a variety of skill levels. In this interview, Oberoi updates on the AI Academy's progress since its November 2016 start, including the launch of the AI Academy for Professors. Oberoi further speaks to the diverse audiences reached by the AI Academy throughout the world. Oberoi additionally notes the AI Academy's strong training and community offerings for the developer audience, which include worldwide meetups, training webinars, framework optimizations, Kaggle competitions, ML/DL learning kits, and access to the Intel® Nervana™ Devcloud. For more information on the Intel Nervana AI Academy, please visit http://software.intel.com/AI.

In this episode, I talk to Naveen Rao, VP and GM of Intel’s AI Products Group, and Scott Apeland, director of Intel’s Developer Network. It's been a few months since we last spoke to Naveen, so he gives us a quick update on what Intel’s been up to and we discuss his perspective on some recent developments in the AI ecosystem. Scott and I dig into Intel Nervana’s new DevCloud offering, which was announced at the conference. We also discuss the Intel Nervana AI Academy, a new portal offering hands-on learning tools and other resources for various aspects of machine learning and AI. The notes for this show can be found at twimlai.com/talk/51

Dr. Kyle Ambert, Senior Deep Learning Data Scientist at Intel Nervana, joins us to talk about enabling artificial intelligence solutions in the health and life sciences (HLS). Dr. Ambert's team uses machine learning and deep learning methods to solve real-world analytical problems, developing new prototypes and optimization strategies for deep learning networks for text analytics, natural language processing, and image recognition. In this interview, Dr. Ambert talks about his work to deliver AI solutions for doctors and clinicians, highlights important differences between deep learning and traditional machine learning methods, and discusses Intel's ecosystem of tools and technologies that are enabling AI. For more information on Dr. Ambert's work, please visit intelnervana.com.

I talked about Intel’s acquisition of Nervana Systems on the podcast when it happened almost a year ago, so I was super excited to have an opportunity to sit down with Nervana co-founder Naveen Rao, who now leads Intel’s newly formed AI Products Group, for the first show in our O'Reilly AI series. We talked about how Intel plans to extend its leadership position in general purpose compute into the AI realm by delivering silicon designed specifically for AI, end-to-end solutions including the cloud, enterprise data center, and the edge; and tools that let customers quickly productize and scale AI-based solutions. I also spoke with Hanlin Tang, an algorithms engineer at Intel’s AIPG, about two tools announced at the conference: version 2.0 of Intel Nervana’s deep learning framework Neon and Nervana Graph, a new toolset for expressing and running deep learning applications as framework and hardware-independent computational graphs. Nervana Graph in particular sounds like a very interesting project, not to mention a smart move for Intel, and I’d encourage folks to take a look at their Github repo. The show notes for this page can be found at https://twimlai.com/talk/31