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Tag: neural networks

Opening Up Black Boxes with Explainable AI

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 Read more…

A Wave of Purpose-Built AI Hardware Is Building

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 Read more…

DARPA Expands ‘Lifelong’ Machine Learning Effort

As AI and machine learning systems advance, real-world applications are exposing limitations such as the inability to adapt to situations beyond the narrow tasks those systems were trained to perform. Indeed, some obs Read more…

Jeff Dean Thinks AI Can Solve Grand Challenges–Here’s How

In 2008, the National Academy of Engineering presented 14 Grand Challenges that, if solved, had the potential to radically improve the world. Thanks to recent breakthroughs in artificial intelligence – specifically, th Read more…

Voice: The New Interface for Analytics

We've grown accustomed to interacting with computers through a visual interface. But thanks to big gains in the accuracy of speech recognition, that's changing, and among the applications being targeted for voice-enablem Read more…

Why Deep Learning May Not Be So ‘Deep’ After All

Deep learning has given us tremendous new powers to spot patterns hidden in great globs of data. For some challenges, neural networks can even outperform top human experts. However, despite all the progress the new appro Read more…

Faking It: Dealing with Counterfeits in the Age of AI

The news isn't the only thing being faked these days. Thanks to cutting edge machine learning techniques, it's easier than ever for people to generate counterfeit videos, audio recordings, and signatures. Today's algorit Read more…

How to Make Deep Learning Easy

Deep learning has emerged as a cutting-edge tool for training computers to automatically perform activities like identifying stop signs, detecting a person's emotional state, and spotting fraud. However, the level of tec Read more…

Dealing with Deep Learning’s Big Black Box Problem

Deep learning currently carries the torch for artificial intelligence, providing us with a glimpse of how powerfully intelligent machines may do our bidding in the future. But there's a big problem with deep learning: No Read more…

Deep Learning Reveals New Insights About People

Can a computer detect an author’s personality type, based only on a sample of his or her writing? Four researchers from Singapore and Mexico City sought to answer that question. In their newly published study, the a Read more…

Why Cracking the ‘Brain Code’ Is Our Best Chance for True AI

Artificial intelligence is all the rage today, and it's definitely real, we tell ourselves. Without AI, how do you explain recent breakthroughs like cars that drive themselves and software that diagnoses cancer? But ther Read more…

Intel Unveils USB Toolkit for AI Prototyping

Intel has begun rolling out AI hardware previewed last fall with the release of its Movidius Neural Compute Stick, billed as a self-contained AI accelerator in a USB format that requires no network connection. The chi Read more…

Google Mimics Human Brain with Unified Deep Learning Model

Despite the progress we've made in deep learning, the approach remains out of reach for many, largely due to the high costs associated with tuning models for specific AI tasks. Now Google hopes to simplify things with a Read more…

Pushing the Scale of Deep Learning at ISC

Deep learning is the latest and most compelling technology strategy to take aim at the decades-old “drowning in data/starving for insight” problem. But contrary to the commonly held notion, deep learning is more than Read more…

Spark’s New Deep Learning Tricks

Imagine being able to use your Apache Spark skills to build and execute deep learning workflows to analyze images or otherwise crunch vast reams of unstructured data. That's the gist behind Deep Learning Pipelines, a new Read more…

Startup Patents ‘Whole Brain’ AI Approach

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 Read more…

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

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. Ca Read more…

Scrutinizing the Inscrutability of Deep Learning

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 arti Read more…

Here’s What a Neural Net Looks Like On the Inside

Ever wonder what the inside of a machine learning model looks like? Today Graphcore released fascinating images that show how the computational graph concept maps to a new graph processor and graph programming framework Read more…

How Intelligent Machines Learn to Make Sense of the World

Home Depot uses it to show which bathtubs in its huge inventory will fit someone’s oddly shaped bathroom. Apple uses it to present customers with relevant apps from the app store. Intuit uses it to display the right he Read more…

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