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. …
AI
AI
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. …
AI
Refining Oil and Gas Discovery with Deep Learning
Over the last two years, we have highlighted deep learning use cases in enterprise areas including genomics, large-scale business analytics, and beyond, but there are still many market areas that are still building a profile for where such approaches fit into existing workflows. …
AI
The Road Ahead for Deep Learning in Healthcare
While there are some sectors of the tech-driven economy that thrive on rapid adoption on new innovations, other areas become rooted in traditional approaches due to regulatory and other constraints. …
AI
Building Intelligence into Machine Learning Hardware
Machine learning is a rising star in the compute constellation, and for good reason. …
AI
Nvidia CEO’s “Hyper-Moore’s Law” Vision for Future Supercomputers
Over the last year in particular, we have documented the merger between high performance computing and deep learning and its various shared hardware and software ties. …
AI
Inside Intel’s Strategy to Integrate Nervana Deep Learning Assets
There is little doubt that 2017 will be a dense year for deep learning. …
AI
Mainstreaming Machine Learning: Emerging Solutions
In the course of this three-part series on the challenges and opportunities for enterprise machine learning, we have worked to define the landscape and ecosystem for these workloads in large-scale business settings and have taken an in-depth look at some of the roadblocks on the path to more mainstream machine learning applications. …