Tag: deep learning

Startup Patents ‘Whole Brain’ AI Approach

Apr 25, 2017 |

Among the criticisms of current artificial intelligence systems is their inability to handle more than one task such as spatial navigation or object recognition at a time.

“Integrating advanced behaviors into a whole brain system for robots and drones represents the future of artificial intelligence” Read more…

New AI Chips to Give GPUs a Run for Deep Learning Money

Apr 24, 2017 |

CPUs and GPUs, move over. Thanks to recent revelations surrounding Google’s new Tensor Processing Unit (TPU), the computing world appears to be on the cusp of a new generation of chips designed specifically for deep learning workloads. Read more…

Facebook Open Sources Caffe2; Nvidia, Intel Rush to Optimize

Apr 20, 2017 |

From its F8 developer conference in San Jose, Calif., this week, Facebook announced Caffe2, a new open-source, cross-platform framework for deep learning. Caffe2 is the successor to Caffe, the deep learning framework developed by Berkeley AI Research and community contributors.  Read more…

IBM Broadens Collaboration on Anaconda

Apr 17, 2017 |

IBM, which recently extended support for the Anaconda data science platform to its open source mainframe, takes another step this week by offering the data platform on its Cognitive Systems platform in collaboration with Anaconda developer Continuum Analytics. Read more…

Meet Ray, the Real-Time Machine-Learning Replacement for Spark

Mar 28, 2017 |

Researchers at UC Berkeley’s RISELab have developed a new distributed framework designed to enable Python-based machine learning and deep learning workloads to execute in real-time with MPI-like power and granularity. Read more…

Big Data’s Relentless Pace Exposes Old Tensions and New Risks in the Enterprise

Mar 22, 2017 |

Over the past two weeks, we’ve explored some of the difficulties that enterprises have experienced in trying to adopt the Hadoop stack of big data technologies. One area that demands further attention is how the rapid pace of development of open source data science technology in general, and the new business opportunities it unlocks, is simultaneously exposing old fault lines between business and IT while opening them to new risks. Read more…

Scrutinizing the Inscrutability of Deep Learning

Mar 15, 2017 |

Most people can’t make heads or tails out of most algorithms. By “most people,” I’m referring to anyone who didn’t literally develop the algorithm in question or doesn’t manage the rules, data, and other artifacts that govern how its results drive automated decision processes. Read more…

What’s In the Pipeline for Apache Spark?

Mar 6, 2017 |

According to Apache Spark creator Matei Zaharia, Spark will see a number of new features and enhancements to existing features in 2017, including the introduction of a standard binary data format, better integration with Kafka, and even the capability to run Spark on a laptop. Read more…

Will Hardware Drive Data Innovation Now?

Feb 10, 2017 |

The world has witnessed an unparalleled flowering of technical innovation that has impacted billions of people over the past decade, much of it driven by creative breakthroughs in software. But now tech leaders are looking for hardware to take the torch and drive the next wave of innovation on even bigger data looming over the horizon. Read more…

How Spark Illuminates Deep Learning

Feb 8, 2017 |

Data scientists everywhere are delving more deeply into deep learning (DL). If you’re only skimming the surface of this trend, you might think that the Spark community, which focuses on broader applications of machine learning, is watching it all from the sidelines. Read more…