AI
Intel Gets Serious About Neuromorphic, Cognitive Computing Future
Like all hardware device makers eager to meet the newest market opportunity, Intel is placing multiple bets on the future of machine learning hardware. …
AI
AI
Making the Connections in Disparate Data
Enterprises are awash in data, and the number of sources of that data is only increasing. …
AI
Unwinding Moore’s Law from Genomics with Co-Design
More than almost any other market or research segment, genomics is vastly outpacing Moore’s Law. …
AI
Pushing MPI into the Deep Learning Training Stack
We have written much about large-scale deep learning implementations over the last couple of years, but one question that is being posed with increasing frequency is how these workloads (training in particular) will scale to many nodes. …
AI
A New Twist On Adding Data Persistence To Containers
Containers continue to gain momentum as organizations look for greater efficiencies and lower costs to run distributed applications in their increasingly virtualized datacenters as well as for improving their application development environments. …
AI
Data, Analytics, Probabilities and the Super Bowl
Data is quickly becoming the coin of the realm in most aspects of the business world, and analytics the best way for organizations to cash in on it. …
AI
Memory at the Core of New Deep Learning Research Chip
Over the last two years, there has been a push for novel architectures to feed the needs of machine learning and more specifically, deep neural networks. …
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OpenCL Opens Doors to Deep Learning Training on FPGA
Hardware and device makers are in a mad dash to create or acquire the perfect chip for performing deep learning training and inference. …
AI
A Case for CPU-Only Approaches to HPC, Analytics, Machine Learning
With the current data science boom, many companies and organizations are stepping outside of their traditional business models to scope work that applies rigorous quantitative methodology and machine learning – areas of analysis previously in the realm of HPC organizations. …
AI
FPGAs Focal Point for Efficient Neural Network Inference
Over the last couple of years, we have focused extensively on the hardware required for training deep neural networks and other machine learning algorithms. …