Tag: deep learning

Can Blockchain Help ML and AI?

Jun 13, 2018 |

It can be difficult not to get caught up in the hype surrounding blockchain and cryptocurrencies, such as the notoriously volatile Bitcoin. “They will completely revolutionize the world!” (or so we’re told). Read more…

Drug Discovery Partnership Focuses on Deep Learning

Jun 11, 2018 |

Deep learning approaches continue to make inroads in medical applications such as drug discovery. Those AI applications are, in turn, creating partnerships among researchers seeking to accelerate medicinal breakthroughs.

The latest collaboration was reported on Monday (June 11) by Insilico Medicine, which announced a “strategic investment” by venture funding arm of China’s WuXi Aptec, the drug and medical devices developer. Read more…

How AI Boosts Human Expertise at Wolters Kluwer

Jun 6, 2018 |

On balance, there will be some jobs lost to artificial intelligence, and you can also expect AI to create other jobs. But at the global information services company Wolters Kluwer, AI is being infused into expert systems in a bid to augment lawyers, accountants, and other professionals with superior decision-making abilities. Read more…

Databricks Open Sources MLflow to Simplify Machine Learning Lifecycle

Jun 5, 2018 |

Databricks today unveiled MLflow, a new open source project that aims to provide some standardization to the complex processes that data scientists oversee during the course of building, testing, and deploying machine learning models. Read more…

Project Hydrogen Unites Apache Spark with DL Frameworks

Jun 5, 2018 |

The folks behind Apache Spark today unveiled Project Hydrogen, a new endeavor that aims to eliminate barriers preventing organizations from using Spark with deep learning frameworks like TensorFlow and MXnet. Read more…

Intel Adds Memory to Deep Learning for Drug Discovery

May 31, 2018 |

A drug discovery technique called “high content” screening analyzes data in microscopic images used to determine the effects of genetic and chemical treatments on cell cultures. However, the processing-intensive analysis of sets of thousands of pre-defined features can take half a day. Read more…

Opening Up Black Boxes with Explainable AI

May 30, 2018 |

One of the biggest challenges with deep learning is explaining to customers and regulators how the models get their answers. In many cases, we simply don’t know how the models generated their answers, even if we’re very confident in the answers themselves. Read more…

A Wave of Purpose-Built AI Hardware Is Building

May 15, 2018 |

Google last week unveiled the third version of its Tensor Processing Unit (TPU), which is designed to accelerate deep learning workloads developed in its TensorFlow environment. But that’s just the start of a groundswell of new processors and processing architectures, including Wave Computing, which claims its soon-to-be-launched processor will dramatically lower the barrier of entry for running artificial intelligence workloads. Read more…

Ensuring Iron-Clad Algorithmic Accountability in the GDPR Era

May 7, 2018 |

Artificial intelligence’s “black boxes” are about to be blown wide open, whether or not the data science world is ready for it.

That’s because AI’s algorithmic models are in the bullseye of the European Union’s General Data Protection Regulation (GDPR), which takes effect on May 25. Read more…

Deep Learning Shows Promise in Screening CT Scans

Apr 30, 2018 |

Healthcare applications for AI continue to emerge, including vetted algorithms used as diagnostic tools for analyzing medical imagery to spot critical abnormalities.

AI startup Qure.ai said a clinical validation study involving 21,000 patients found that its algorithm could help accurately identify internal bleeding, fractures or other trauma in head CT scans. Read more…

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