AI
Stanford’s TETRIS Clears Blocks for 3D Memory Based Deep Learning
The need for speed to process neural networks is far less a matter of processor capabilities and much more a function of memory bandwidth. …
AI
AI
Japan to Unveil Pascal GPU-Based AI Supercomputer
A shared appetite for high performance computing hardware and frameworks is pushing both supercomputing and deep learning into the same territory. …
AI
Looking Down The Long Enterprise Road With Hadoop
Just five years ago, the infrastructure space was awash in stories about the capabilities cooked into the Hadoop platform—something that was, even then, only a few pieces of code cobbled onto the core HDFS distributed storage with MapReduce serving as the processing engine for analytics at scale. …
AI
Promises, Challenges Ahead for Near-Memory, In-Memory Processing
The idea of bringing compute and memory functions in computers closer together physically within the systems to accelerate the processing of data is not a new one. …
AI
Current Trends in Tools for Large-Scale Machine Learning
During the past decade, enterprises have begun using machine learning (ML) to collect and analyze large amounts of data to obtain a competitive advantage. …
AI
Baidu Targets Deep Learning Scalability Challenges
When it comes to solving deep learning cluster and software stack problems at scale, few companies are riding the bleeding edge like Chinese search giant, Baidu. …
AI
How Yahoo’s Internal Hadoop Cluster Does Double-Duty on Deep Learning
Five years ago, many bleeding edge IT shops had either implemented a Hadoop cluster for production use or at least had a cluster set aside to explore the mysteries of MapReduce and the HDFS storage system. …
AI
Memristor Research Highlights Neuromorphic Device Future
Much of the talk around artificial intelligence these days focuses on software efforts – various algorithms and neural networks – and such hardware devices as custom ASICs for those neural networks and chips like GPUs and FPGAs that can help the development of reprogrammable systems. …
AI
IBM Wants to Make Mainframes Next Platform for Machine Learning
Despite the emphasis on X86 clusters, large public clouds, accelerators for commodity systems, and the rise of open source analytics tools, there is a very large base of transactional processing and analysis that happens far from this landscape. …
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. …