by Angela Guess A recent press release reports, “In the world of machine learning, deep learning neural networks (DLNN) is the fastest growing field. World Scientific’s latest book ‘Deep Learning Neural Networks: Design and Case Studies’ shows how DLNN can be a powerful computational tool for solving prediction, diagnosis, detection and decision problems based on […]
How DeepHand Uses Deep Learning to Improve Virtual Reality
by Angela Guess Researchers at Purdue University have created a new system to be used in both virtual reality and augmented reality which allows users full use of their hands. According to an article out of the university, “A new system, DeepHand, uses a ‘convolutional neural network’ that mimics the human brain and is capable […]
Artificial Intelligence Still Has a Long Way to Go
by Angela Guess Jonathan Vanian recently wrote in Fortune, “Computers can recognize cats in photos and translate websites into different languages thanks to recent advances in artificial intelligence. But that’s just the tip of the iceberg when it comes to someday creating computers that can think like humans. Take the example of Google’s AlphaGo computer […]
The Business Benefits of Deep Learning
Over the past several years, the global Data Science community has watched the rise and steady penetration of such concepts as neural networks, Deep Learning, and back propagation. As research in Artificial Intelligence continues to evolve, an increasing interest in Neural Networks and Deep Learning has caught the fancy of worldwide business owners and operators. […]
Next Steps for Neural Networks
by Angela Guess Gary Baum, VP of Marketing at MyScript, recently wrote in InsideBigData, “Not long ago, many would scoff at the notion that a machine is ‘learning,’ ‘doing’ or ‘knowing.’ But neural networks and artificial intelligence (AI) technologies are layering those skillsets together to perform increasingly complicated, human-like functions. Google DeepMind, for example, is […]
Google Robots Use Machine Learning to Grasp Random Objects
by Angela Guess Frederic Lardinois reports in TechCrunch, “Using your hand to grasp a pen that’s lying on your desk doesn’t exactly feel like a chore, but for robots, that’s still a really hard thing to do. So to teach robots how to better grasp random objects, Google’s research team dedicated 14 robots to the […]
Visualizing the Work That Goes Into Artificial Intelligence
by Angela Guess DJ Pangburn recently wrote in The Creators Project, “People could be forgiven for thinking the building of neural networks and artificial intelligence isn’t labor intensive. That these things are simply the work of creative engineers and computers alone. But as artist Sebastian Schmieg illustrates in his latest work, Segmentation.Network, there is actual […]
A New, Energy-Efficient Chip Design for Neural Networks
by Angela Guess Larry Hardesty reports in MIT News, “In recent years, some of the most exciting advances in artificial intelligence have come courtesy of convolutional neural networks, large virtual networks of simple information-processing units, which are loosely modeled on the anatomy of the human brain. Neural networks are typically implemented using graphics processing units […]
Microsoft Buys Predictive Keyboard Maker, Swiftkey
by Angela Guess Chris Miller reports in Gizmodo, “Swiftkey is the most innovative and interesting predictive keyboard maker in the business, and Microsoft is a software giant that’s trying to push its artificial intelligence cred a little higher. According to a report in the Financial Times, it’s a match made in heaven, to the tune […]
The Potential of Computer Chips Optimized for Deep Learning
by Angela Guess Will Knight recently wrote in the MIT Technology Review, “The latest machine-learning techniques promise to transform whole industries by making it easier for computers to recognize patterns in data, to make accurate predictions, and to generally behave more intelligently. Unfortunately, the experts capable of crafting and optimizing the code needed to make […]