The Massachusetts Institute of Technology is investing $1 billion dollars to create a new AI-Centric College of Computing that is being cast as the Institutes most significant structural change since 1950.
Episode 244: Addison Snell and Michael Feldman review developments in the Chinese Supermicro spy scandal, plus announcements about HPC in the Czech automotive industry and IBM's quantum modeling of evolution.
The European Centre for Medium-Range Weather Forecasts (ECMWF) and its partners have begun the second phase of an EU-funded project to develop extreme-scale computing for numerical weather prediction (NWP) and climate modeling.
NVIDIA has announced a set of open-source libraries intended to bring GPU acceleration to a wide swathe of data analytics applications. The new software suite has attracted support from IBM, HPE, Oracle and a number of other key providers.
Episode 243: Addison Snell and Michael Feldman analyze the potential effects of the Chinese Supermicro spy scandal on the HPC industry.
koda Auto is planning to increase it computational capacity to 15 petaflops, making it the owner of the most powerful privately owned HPC infrastructure in the Czech Republic.
Researchers from the University of the Basque Country claim they have successfully mimicked Darwinian evolution using a quantum computer.
DataDirect Networks (DDN) has launched a trio of specialized storage appliances that are designed to support the data needs of NVIDIA DGX-1 servers running artificial intelligence and deep learning workloads.
Xilinx has introduced Versal, a new product family based on its heterogeneous Adaptive Computer Accelerator Platform (ACAP). The initial product offerings integrate FPGA technology with Arm CPU cores, DSPs, and AI processing engines. The new platform aims to accelerate a wide array of machine learning and data-intensive workloads running in the datacenter and on edge devices.
Episode 242: Addison Snell and Michael Feldman discuss the pitfalls of machine bias in AI and a new study that predicts coming disruption to a substantial percentage of the workforce.