An anonymous reader quotes a report from Phys.Org: Researchers from North Carolina State University have discovered that teaching physics to neural networks enables those networks to better adapt to chaos within their environment. Neural networks are an advanced type of AI loosely based on the way that our brains work. Our natural neurons exchange electrical impulses according to the strengths of…
Tag: neural network
‘Biologically Plausible’ Deep Learning Neurons Predict the Chords of Bach
IBM’s research blog shares an article about “polyphonic music prediction using the Johann Sebastian Bach chorales dataset” achieved by using “biologically plausible neurons,” a new approach to deep learning “that incorporates biologically-inspired neural dynamics and enables in-memory acceleration, bringing it closer to the way in which the human brain works.” At IBM Research Europe we have been investigating both Spiking Neural…
A Look At AI Benchmarking For Mobile Devices In a Rapidly Evolving Ecosystem
MojoKid writes: AI and Machine Learning performance benchmarks have been well explored in the data center, but are fairly new and unestablished for edge devices like smartphones. While AI implementations on phones are typically limited to inferencing tasks like speech-to-text transcription and camera image optimization, there are real-world neural network models employed on mobile devices and accelerated by their dedicated processing…
Eye-Catching Advances in Some AI Fields Are Not Real
silverjacket writes: A story in this week’s issue of Science. Artificial intelligence (AI) just seems to get smarter and smarter. Each iPhone learns your face, voice, and habits better than the last, and the threats AI poses to privacy and jobs continue to grow. The surge reflects faster chips, more data, and better algorithms. But some of the improvement comes from…
AI Drives Innovators To Build Entirely New Semiconductors
“AI has ushered in a new golden age of semiconductor innovation,” reports Forbes:
For most of the history of computing, the prevailing chip architecture has been the CPU, or central processing unit… But while CPUs’ key advantage is versatility, today’s leading AI techniques demand a very specific — and intensive — set of computations. Deep learning entails the iterative execution of millions…
What’s new on Coursera for Business – February 2020
By Kyle Clark, Senior Skills Transformation Consultant February was a special month at Coursera: we officially launched Rhyme Projects for enterprise. Coursera acquired Rhyme Softworks last year to augment our abilities to create and share hand-on projects with learners. Projects allow learners to work on a task in their browser while following a self-paced or […]
The post What’s new on Coursera…
Astronomers discover potential near earth objects
Three astronomers from Leiden University (the Netherlands) have shown that some asteroids that are considered harmless for now can collide with the earth in the future. They did their research with the help of an artificial neural network. The results have been accepted for publication in the journal Astronomy & Astrophysics. Source: https://phys.org/news/2020-02-astronomers-potential-earth.html…
AI could deceive us as much as the human eye does in the search for extraterrestrials
An artificial neural network has identified a square structure within a triangular one in a crater on the dwarf planet Ceres, with several people agreeing on this perception. The result of this intriguing visual experiment, carried out by a Spanish neuropsychologist, calls into question the application of artificial intelligence to the search for extra-terrestrial intelligence (SETI). Source: https://phys.org/news/2020-01-ai-human-eye-extraterrestrials.html…
IBM’s Debating AI Just Got a Lot Closer To Being a Useful Tool
We make decisions by weighing pros and cons. Artificial intelligence has the potential to help us with that by sifting through ever-increasing mounds of data. But to be truly useful, it needs to reason more like a human. An artificial intelligence technique known as argument mining could help. From a report: IBM has just taken a big step in that direction….
How Google Researchers Used Neural Networks To Make Weather Forecasts
A research team at Google has developed a deep neural network that can make fast, detailed rainfall forecasts. Google says that its forecasts are more accurate than conventional weather forecasts, at least for time periods under six hours. Ars Technica reports: The researchers say their results are a dramatic improvement over previous techniques in two key ways. One is speed. Google…