Tag: machine learning

Intel Launches ‘Knights Landing’ Phi Family for HPC, Machine Learning

Jun 21, 2016 |

From ISC 2016 in Frankfurt, Germany, this week, Intel Corp. announced that its new Xeon Phi product family, formerly code-named Knights Landing, is now shipping for high-performance computing and machine learning workloads. The company had been shipping to early customers for the last six months and was waiting to ramp up production before making the product generally available. The window also gave OEMs time to complete their readiness, said Intel’s Charlie Wuischpard.

Baidu Researcher Pushes GPU Scalability for Deep Learning

Jun 20, 2016 |

Greg Diamos, senior researcher, Silicon Valley AI Lab, Baidu, is on the front lines of the reinvigorated frontier of machine learning. Before joining Baidu, Diamos was in the employ of NVIDIA, first as a research scientist and then an architect (for the GPU streaming multiprocessor and the CUDA software). Given this background, it’s natural that Diamos’ research is focused on advancing breakthroughs in GPU-based deep learning. Ahead of a paper he is presenting at the 33rd International Conference on Machine Learning, Diamos answered questions about his research and his vision for the future of machine learning.

Machine Learning Advances Fight Against Cancer

May 18, 2016 |

Developing effective tools against cancer has been a long, complicated endeavor with successes and disappointments. Despite all, cancer remains the leading cause of death worldwide. Now, machine learning and data analytics are being recruited as tools in the effort fight the disease and show significant promise according to two recent papers. In one paper – An Analytics Approach to Designing Combination Chemotherapy Regimens for Cancer – researchers from MIT and Stanford “propose models that use machine learning and optimization to suggest regimens to be tested in phase II and phase III trials.”

Inspur Shares Innovative Deep Learning Technology at GTC16

Apr 18, 2016 |

Recently, the 2016 GPU Technology Conference (GTC16) was held in Silicon Valley. Inspur released the Caffe-MPI, a multi node parallel version open source framework for Deep Learning. Meanwhile, Inspur also announced its plan to launch a Deep Learning Speedup Program(DLSP), aiming at facilitating the accelerated development and efficient application of Deep Learning – from the Read more…

Intel® Scalable System Framework: Using Next Generation Processors Opens the Door to Faster, More Efficient Deep Learning

Apr 11, 2016 |

Deep learning has inspired a gold rush of technology innovation across a wide range of markets from Internet search, to social media, to real-time robotics, self-driving vehicles, drones and more. Spanning the gamut of machine performance, deep learning (and machine learning in general) encompasses floating-point-, network- and data-intensive ‘training’ plus real-time, low-power ‘prediction’ operations. Intel® Read more…

This Hospital Computer Knows When Your Days Are Numbered

Sep 25, 2015 |

Chalk “predict death” off the list of “what computers can’t do.” A supercomputer at Beth Israel Deaconess Medical Center in Boston, Mass., can decipher the likelihood of a patient’s imminent demise with uncanny accuracy. Patients at the hospital are linked up to the machine, which leverages all available patient data — doctors visits, lab results, medications and Read more…

Accelerate Drug Discovery with Machine Learning on Big Medical Data

Sep 24, 2015 |

Pharmaceutical companies spend billions testing prospective drugs by conducting “wet lab” experiments that can take years to complete. But what if the same results could be obtained in a matter of minutes by running computer model simulations instead? A Silicon Valley startup says it has created a novel machine learning algorithm that does just that. Read more…

AI’s Forward March: Machine Teaches Itself to Play Chess in 72 Hours

Sep 23, 2015 |

The field of artificial intelligence has had a rocky history with numerous setbacks, but there have been high points too, like when IBM’s Deep Blue beat reigning chess champion, Garry Kasparov, in 1997, or when another IBM machine, Watson, proved its mettle on the popular quiz show Jeopardy, in 2011. Now machine learning, and its Read more…

U of Michigan Project Combines Modeling and Machine Learning

Sep 10, 2015 |

Although we’ve yet to settle on a term for it, the convergence of HPC and a new generation of big data technologies is set to transform science. The compute-plus-data mantra reaches all the way to the White House with President Obama’s National Strategic Computing Initiative calling for useful exascale computing and sophisticated data capabilities that serve the Read more…

Knowm Snaps in Final Piece of Memristor Puzzle

Sep 9, 2015 |

Adaptive computing company Knowm Inc. says it has cleared a major technological hurdle in the pursuit of practical artificial neural network (ANN) chips that has stymied deeper-pocketed competitors, including IBM and HP. As the first to develop memristors capable of bi-directional incremental learning capability, the Santa Fe, NM-based startup can move forward with its ANN chip architecture, the intended substrate Read more…