About this Episode Episode 64 of Voices in AI features host Byron Reese and Dr. Eli David discuss evolutionary computation, deep learning…
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Research
Voices in AI – Episode 63: A Conversation with Hillery Hunter
About this Episode Episode 63 of Voices in AI features host Byron Reese and Hillery Hunter discuss AI, deep learning, power efficiency,…
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Voices in AI – Episode 56: A Conversation with Babak Hodjat
About this Episode Episode 56 of Voices in AI features host Byron Reese and Babak Hodjat talking about genetic algorithms, cyber agriculture,…
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Voices in AI – Episode 9: A Conversation with Soumith Chintala
In this episode, Byron and Soumith talk about transfer learning, child development, pain, neural networks, and adversarial networks. Byron Reese: This is…
Read MoreFour Questions For: Geoff Hinton
You’ve been referred to as the “godfather of neural networks.” Do you believe you’ll see true artificial intelligence in your lifetime? It depends on…
Read MoreA look at Zeroth, Qualcomm’s effort to put AI in your smartphone
What if your smartphone camera were smart enough to identify that the plate of clams and black beans appearing in its lens…
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Breakthrough in FPGAs could make custom chips faster, larger
Today we are worshipping the gods of the algorithm, according to one prominent magazine. It’s not a bad comparison. Everything from search…
Read MoreMicrosoft is building fast, low-power neural networks with FPGAs
Microsoft on Monday released a white paper explaining a current effort to run convolutional neural networks — the deep learning technique responsible…
Read MoreMicrosoft’s machine learning guru on why data matters sooooo much
Not surprisingly, Joseph Sirosh, has big ambitions for his product portfolio at Microsoft which includes Azure ML, HDInsight and other tools. Chief among…
Read MoreHow AI can help build a universal real-time translator
The breakthroughs in natural language processing and machine translation brought by deep learning might enable us to build a trope of science-fiction…
Read MoreFacebook open sources tools for bigger, faster deep learning models
Facebook on Friday open sourced a handful of software libraries that it claims will help users build bigger, faster deep learning models…
Read MoreThis company says it can fix the sales process using lots of data science, and even more data
Provo, Utah–based sales automation company InsideSales has always been interested in applying data analysis to mountains of sales data. After delivering on this mission last year, the company is now ramping up its efforts to predict who salespeople should call and when.…
Read MoreWhen emotionless machines are better than people at reading emotions
New research highlights a computer vision system that's much better at telling when people are faking expressions of pain than are other humans. It's the latest in a series of computer vision advances that foretell a brave, new and possibly creepy world.…
Read MoreFacebook shows off its deep learning skills with DeepFace
A Facebook research paper details a new method for recognizing the people in images by combining deep learning techniques with a method for recomposing angled images as straight-on ones. It's the latest in a series of advances web companies have made in this field.…
Read MoreRobot startup gets patent for neural networks on GPUs
A robotics startup called Neurala has received a patent (No. 8,648,867) for a GPU-based system designed to run artificial neural network models. The…
Read MoreHow Google cracked house number identification in Street View
http://www.technologyreview.com/view/523326/how-google-cracked-house-number-identification-in-street-view/ This post from the MIT Technology Review discusses how Google used deep learning to recognize houses numbers and make Street View…
Read MoreFacebook hires NYU deep learning expert to run its new AI lab
Facebook has hired deep learning expert Yann Lecun from New York University to head up its new artificial intelligence lab. It's part of a bigger push along with -- and against -- companies like Google and Microsoft to advance research while improving their platforms.…
Read MoreThe Dropbox computer vision acquisition that slipped under the radar
Dropbox acquired computer vision startup Anchovi Labs and its Ph.D. founders in September 2012 to very little fanfare. But the skillset they bring could be integral as Dropbox seeks to grow into a platform and competitors like Google and Yahoo beef up their image-recognition capabilities.…
Read MoreNeural networks for leads? Seems like a good time to be in sales
The days of the cold call might be gone for salespeople. Actually, the days of the not-too-promising call might soon be gone,…
Read MoreStanford researchers to open-source model they say has nailed sentiment analysis
A group of researchers from Stanford has been working on deep learning models that can make sense of whole sentences at a time, and has recently trained its models on a large collection of online movie reviews.…
Read MoreHow deep learning can teach computers Spanish without a tutor
Google has released another paper showing off the power of its deep learning techniques for text analysis. It shows how models can detect similar usage of words across different languages, meaning it can accurately translate words and concepts from one language to another.…
Read MoreWe’re on the cusp of deep learning for the masses. You can thank Google later
Google researchers have developed new methods for analyzing language using deep learning techniques. They've also open sourced an implementation of their work so any researchers can experiment with it. It could be the first of many deep learning tools designed for mass consumption.…
Read MoreSimulating 1 second of real brain activity takes 40 minutes and 83K processors
Researchers have simulated 1 second of real brain activity, on a network equivalent to 1 percent of an actual brain's neural network, using the world's fourth-fastest supercomputer. The results aren't revolutionary just yet, but they do hint at what will be possible as computing power increases.…
Read MoreWant cheap high-performance computing at scale like Google? Look to GPUs
New research shows that it's possible to train Google-style neural networks with GPUs and Infiniband at low cost. The work could help drive further GPU adoption.…
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