The San Diego Supercomputer Center at UC San Diego has planned summer institutes for June and August, one focused on cyberinfrastructure-enabled machine learning and the on high-performance computing (HPC) and data science. Application deadlines are April 15 and May 13, respectively. The Cyberinfrastructure-Enabled Machine Learning (CIML) Summer Institute will be held June 27-29 (with a preparatory session on June 22). The institute will introduce machine learning (ML) researchers, developers and educators to the techniques and methods needed to migrate their ML applications from smaller, locally run resources (such as laptops and workstations) to high-performance computing (HPC) systems (e.g., SDSC's Expanse supercomputer). The CIML application deadline is Friday, April 15.

The institute will introduce machine learning (ML) researchers, developers and educators to the techniques and methods needed to migrate their ML …

NEW YORK AND ARMONK, N.Y., Oct. 11, 2021 – IBM (NYSE: IBM) and Deloitte today announced a new offering--DAPPER, an AI-enabled managed analytics solution. The solution reinforces the two organizations' 21-year global alliance--which helps organizations accelerate the adoption of hybrid cloud and AI across the enterprise--and 10 years of experience implementing the Deloitte Analytics Platform. DAPPER's end-to-end capabilities will allow organizations to gain confidence in the insights that their data provides via a secured, simple to consume managed service offering that aims to resolve the challenges of adopting AI. Relevant and actionable data can catapult companies to success in today's competitive, insights-driven business environment. Clients across industries report they are struggling to accelerate the value of AI and analytics--due to lack of trust in data, domain expertise, and the resources to create a solution that can work across business environments--while simultaneously meeting strict security and compliance requirements.

Munich and Tel Aviv, September 30, 2021 – MicroSys Electronics announced today its partnership with artificial intelligence chipmaker Hailo to launch its miriac AIP-LX2160A embedded platform, hosting up to 5 integrated Hailo-8 AI accelerator modules. The new edge server-grade AI solution enables high-performance and scalable AI inference capabilities at the edge. The new, application-ready AI platform offers industries a high bandwidth and power-efficient solution at the edge for a range of applications in Industry 4.0, such as automotive and heavy machinery. Powered by the NXP QorIQ Layerscape LX2160A high-throughput processor technology, the miriac AIP-LX2160A can integrate multiple advanced Hailo-8 AI accelerators and offers best-in-class processing performance and deep learning capabilities of up to 130 tera-operations per second (TOPS). The combined solution delivers exceptional AI computing performance across multiple standard NN benchmarks, including over 6000 Frames Per Second (FPS) on Resnet-50, over 5000 FPS on Mobilenet-V1 SSD and close to 1000 FPS on YOLOv5m.

EuroHPC – its BullSequana will be used in five EuroHPC supercomputing centres – Sofia Tech Park at Bulgaria ("Discover"), CINECA in Italy ("Da Vinci"), IZUM in Slovenia, ("Vega") LuxProvide in Luxembourg ("MeluXina" which is also #4 in the GREEN500) and in the Minho Advanced Computing Centre in Portugal, reinforcing Atos' position as a European leader in high-performance computing. The Linkoping University's'Berzelius' supercomputer for AI will use Atos' recently announced Atos ThinkAI solution to enable its researchers speed-up processing times on their complex data, empowering them to gain insights faster, using the power of deep learning and analytics. "Topaze" at the CCRT – a new supercomputer at the French CCRT based on the BullSequana XH2000 solution from Atos, is the result of joint R&D by Atos and the CEA's Military Applications Directorate (DAM). It will soon be open to the first users, to start the'Grand Challenges' phase, for very large-scale simulations. "Noctua2" at Paderborn University – the recently announced "Noctua2" supercomputer at the University of Paderborn, based on Atos" BullSequana XH2000, will give the University the modern, highly available and flexible supercomputer infrastructure that is needed for excellent science and research. EuroHPC – its BullSequana will be used in five EuroHPC supercomputing centres – Sofia Tech Park at Bulgaria ("Discover"), CINECA in Italy ("Da Vinci"), IZUM in Slovenia, ("Vega") LuxProvide in Luxembourg ("MeluXina" which is also #4 in the GREEN500) and in the Minho Advanced Computing Centre in Portugal, reinforcing Atos' position as a European leader in high-performance computing. The Linkoping University's'Berzelius' supercomputer for AI will use Atos' recently announced Atos ThinkAI solution to enable its researchers speed-up processing times on their complex data, empowering them to gain insights faster, using the power of deep learning and analytics. "Topaze" at the CCRT – a new supercomputer at the French CCRT based on the BullSequana XH2000 solution from Atos, is the result of joint R&D by Atos and the CEA's Military Applications Directorate (DAM). It will soon be open to the first users, to start the'Grand Challenges' phase, for very large-scale simulations. "Noctua2" at Paderborn University – the recently announced "Noctua2" supercomputer at the University of Paderborn, based on Atos" BullSequana XH2000, will give the University the modern, highly available and flexible supercomputer infrastructure that is needed for excellent science and research.

XSEDE, the National Science Foundation's Extreme Science and Engineering Discovery Environment virtual organization that shares HPC, supercomputing and other advanced computing resources, will present a Big Data and machine learning workshop on Tuesday and Wednesday, April 6-7, 2021. The workshop will focus on Spark and Tensorflow.

Berzelius is now Sweden's fastest supercomputer for AI and machine learning, and has been installed in the National Supercomputer Centre at Linköping University. A donation of EUR 29.5 million from the Knut and Alice Wallenberg Foundation has made the construction of the new supercomputer possible. "It's very gratifying, but also a major challenge, that Linköping University is taking a national responsibility to connect all initiatives within high-performance computing and data processing. Our new supercomputer is a powerful addition to the important research carried out into such fields as the life sciences, machine learning and artificial intelligence", says Jan-Ingvar Jönsson, vice-chancellor of Linköping University. The new supercomputer – Berzelius – takes its name from the renowned scientist Jacob Berzelius, who came from Östergötland, the region of Sweden in which Linköping is located.

Florida State University researchers report they have found a way to automatically infer parameters used in an important quantum Boltzmann machine algorithm for machine learning applications. The work could help build artificial neural networks used for training computers to solve complicated, interconnected problems, such as image recognition, drug discovery and the creation of new materials. The findings of Professor William Oates, the Cummins Inc. Professor in Mechanical Engineering and chair of the Department of Mechanical Engineering at the FAMU-FSU College of Engineering, and postdoctoral researcher Guanglei Xu were published in Scientific Reports. "There's a belief that quantum computing, as it comes online and grows in computational power, can provide you with some new tools, but figuring out how to program it and how to apply it in certain applications is a big question," said Oates. Quantum bits, unlike binary bits in a standard computer, can exist in more than one state at a time, a concept known as superposition.

Some of the most well-known examples of the use of machine learning technics in science applications are the detection and classification of gravitational-waves signals from LIGO and Virgo in astrophysics [1], the recent DeepMind Alpha-Fold2 capabilities outperforming classical methods in protein folding [2] or the winning team of the Gordon Bell 2020 with the Deep Potential Molecular Dynamics [3] which is opening new breakthroughs in the drug design process and could speed up future pandemic response efforts. Beyond these key examples, the convergence between HPC and AI is natural where DL-based surrogate modelling is more and more widely applied in research and recent advances in physics-informed neural networks such as HNN [4] bring physical properties and constraints to neural networks loss functions opening a great path towards a new generation of simulation. In Atos, we built a dedicated approach to support the scientific community and Industries by bringing data science and HPC expertise through the Atos Centers of Excellence. Each center is oriented towards a specific domain where our experts and our customers can jointly bring innovations and technologies with the support of some of our partners. Some of the first Atos Centers of Excellence are dedicated to weather forecast & climate changes [5] and life sciences [6].

Experience tells us that there is a relationship between organizational size and technology adoption: Larger, more resource-rich, enterprises generally adopt new technologies first, while smaller, more resource constrained organizations follow afterward, (provided that the small organization isn't in the technology business). This pattern has repeated itself for multiple generations across a myriad of technologies. However, once smaller organizations get ahold of a technology, their creativity can drive it in ways that nobody ever imagined. Case in point: The personal computer, which was originally deployed at large companies primarily to do word processing and spreadsheets, but within a decade was being used to compose music, control buildings, front-end complex medical devices, and thousands of other applications. Lenovo, NetApp and NVIDIA have teamed up to help drive Artificial Intelligence (AI) into smaller organizations and hopefully seed that creative garden.