Tag Archive for neural networks

Cognitive Computing: Building Systems We Don’t Fully Understand

DCF 1.0

by Angela Guess Nicole Hemsoth recently wrote for The Platform, “One look at the IBM roadmap reveals that future emphasis, particularly on the software and applications side, will revolve around that catch-all trend that couples various elements from speech, text, and image recognition to create a brain–like system with reasoning and judgment capabilities–not to mention…

Voice Recognition and Natural Language Processing: How Do They Work?

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by Angela Guess Chris Jager recently wrote for LifeHacker, “Before a computer can even understand what you mean, it needs to be able to understand what you said. This involves a complex process that includes audio sampling, feature extraction and then actual speech recognition to recognise individual sounds and convert them to text. Researchers have…

Berkeley’s Robot BRETT Uses Deep Learning to Learn From Its Mistakes

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by Angela Guess Yesterday, Manish Singh wrote for Beta News, “Humans understand feedback and they seek improvement over numerous trials and errors. Robots, on the other hand, don’t. Robots only understand what’s hardcoded in their algorithms, essentially making them useless without getting direct input from humans. But recent advances are offering a major shift to…

Deep Neural Networks Take on the Cocktail Party Problem

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by Angela Guess A recent article in the MIT Technology Review reports, “The cocktail party effect is the ability to focus on a specific human voice while filtering out other voices or background noise. The ease with which humans perform this trick belies the challenge that scientists and engineers have faced in reproducing it synthetically.…

Deep Learning Neural Networks Are Hot — Here’s Why

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by Angela Guess Dean Takahashi recently wrote for VentureBeat, “Neural networks had a lot of promise in the field of artificial intelligence in the 1980s and 1990s. But decades later, the revitalized category of “deep-learning neural networks” is making huge progress. That’s the analysis from Jeff Dean, senior fellow at Google, speaking at the Nvidia…

The Challenge of Scaling Neural Networks

brain power

by Angela Guess Mark Montgomery of Computer World recently wrote, “One of the primary obstacles to applied AI has been with scaling neural networks, particularly containing rich descriptive data and complex autonomous algorithms. Even in today’s relatively low cost computing environment scale is problematic, resulting in graduate students at Stanford’s AI lab complaining to their…

Facebook Open Sources AI Tools, Increasing Access to Deep Learning

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by Angela Guess Larry Dignan of ZDnet reports, “Facebook on Friday said it will open source deep learning modules for the Torch artificial intelligence project in a move that could speed up technology and make it more accessible to developers and ultimately companies. The social networking giant has a long open source contribution history and…