AI
Pushing Hadoop and HPC into the Same Box
Consider the metaphor of pushing an elephant into a small box. …
AI
AI
IARPA Project Targets Hidden Algorithms of the Brain
Whether in the brain or in code, neural networks are shaping up to be one of the most critical areas of research in both neuroscience and computer science. …
AI
IBM Traverses Deeper into Graph Territory
Keeping track of the many graph analytics platforms and databases that exist and weighing their relative advantages could be a full time job. …
AI
Technical Debt Could Leave Machine Learning Bankrupt
There has been a resounding uptick in attention around machine learning, but with relatively few large-scale systems in production (and even fewer public stories about progress and roadblocks), the wider story is all about the potential and dramatically less about the possibilities for problems. …
AI
Hype Over, Hadoop Gets Down to Business
In the decade that Hadoop has been a force, first as an independent research endeavor, then as a project at Yahoo, before moving swiftly into Facebook, LinkedIn, and other webscale datacenters, the entire data landscape changed. …
AI
A Decade of Hadoop: Creator Cutting on the Right Place for the Right Time
Without discounting the extraordinary amount of work and creativity that goes into developing the next big architectural trend, there is something to be said for being at the right place at the right time—and having the perfect blend of the correct skills and experiences to meet the moment. …
AI
Baidu Looks to Next Generation Deep Learning Accelerators
If the last year of stories here from research labs at the forefront of deep learning hasn’t made it clear, the accelerator of choice for training the models that will feed the next generation of speech and image recognition (not to mention a wealth of other application areas) is certainly GPUs. …
AI
National Lab Pushes Graph Platforms to New Points
While graph analytics is not a likely replacement for the standard relational databases that many companies will stick with for many years to come, the value of graphs for a particular set of knowledge discovery applications has become clearer with a widening set of use cases in areas ranging from security, fraud detection, medical research, financial services, and a number of other segments. …
AI
Facebook To Open Up Custom Machine Learning Iron
There is a simple test to figure out just how seriously social network Facebook is taking machine learning, and it has nothing to do with research papers or counting cat pictures automagically with neural networks. …
AI
Emergent Chip Vastly Accelerates Deep Neural Networks
Stanford University PhD candidate, Song Han, who works under advisor and networking pioneer, Dr. …