Tag Archive for deep learning

How Deep Learning, Voice Recognition Will Change the Internet

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by Angela Guess Writing for Wall Street Cheat Sheet, Jess Bolluyt recently opined, “In a few years, the Internet could look like a very different place than it is today. We’ll be able to complete searches by voice, more efficiently search for images by the people or objects they contain, or use video analysis tools…

Powering Deep Learning with GPU Technology

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by Angela Guess Stephen Jones of NVIDIA recently wrote for Scientific Computing, “Deep learning has become popular among researchers, numerous startups and large Internet giants as a method to improve today’s artificial intelligence capabilities, especially in fields such as computer vision, speech recognition and natural language processing. Many of the popular deep learning approaches utilize…

Machine Learning is Getting a Whole Lot Easier

easy street

by Angela Guess Derrick Harris recently wrote for GigaOM, “A few years ago, there was a shift in the world of machine learning. Companies, such as Skytree and Context Relevant, began popping up, promising to make it easier for companies outside of big banks and web giants to run machine learning algorithms and to do…

Do Deep Learning Algorithms Actually Mimic the Human Brain?

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by Angela Guess Derrick Harris of GigaOM recently wrote, “As deep learning continues gathering steam among researchers, entrepreneurs and the press, there’s a loud-and-getting-louder debate about whether its algorithms actually operate like the human brain does. The comparison might not make much of a difference to developers who just want to build applications that can…

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…

Deep Learning Can Track Everything From Workouts to Your Emotions

The First in Line...

by Angela Guess Rachel Metz of the MIT Technology Review recently wrote, “Software that roughly mimics the way the brain works could give smartphones new smarts—leading to more accurate and sophisticated apps for tracking everything from workouts to emotions. The software exploits an artificial-intelligence technique known as deep learning, which uses simulated neurons and synapses…

Clarifai Uses Deep Learning to Identify Things in Videos

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by Angela Guess Jordan Novet of Venture Beat reports, “Clarifai, one startup with a service for recognizing things in images, today introduced a pretty nifty new capability. Now the startup can quickly point out the things that appear in videos. Startups in this field and even major companies like Baidu and Google have been trying…

4 Deep Learning Lessons from Google

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by Angela Guess Derrick Harris of GigaOM recently wrote, “Google employs some of the world’s smartest researchers in deep learning and artificial intelligence, so it’s not a bad idea to listen to what they have to say about the space. One of those researchers, senior research scientist Greg Corrado, spoke at RE:WORK’s Deep Learning Summit…

What Separates Deep Learning from General Artificial Intelligence?

my brains - let me show you them

by Angela Guess Joe Castaldo of Canadian Business recently wrote, “Artificial intelligence is one of those concepts that seems to be perpetually around the corner. The results have been fairly unspectacular and confined to university laboratories—until recently. One branch of AI, known as deep learning, has made huge advances in the past couple of years,…

Baidu Has Built a Supercomputer for Deep Learning

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by Angela Guess Derrick Harris of GigaOM reports, “Chinese search engine company Baidu says it has built the world’s most-accurate computer vision system, dubbed Deep Image, which runs on a supercomputer optimized for deep learning algorithms. Baidu claims a 5.98 percent error rate on the ImageNet object classification benchmark; a team from Google won the…