Tag: neural networks
In the influx of deep learning startups, one stealth mode venture, Vicarious, has already made something of a name for itself. As reported in MIT Technology Review, the Silicon Valley-area company is working to give computers the power of imagination, or something close to it. The article reports that this innovative effort is going against the tide Read more…
Sifting the avalanche of life sciences (LS) data for insight is an interesting and important challenge. Many approaches are used with varying success. Recently, improved hardware – primarily GPU-based – and better neural networking schemes are bringing deep learning to the fore. Two recent papers report the use of deep neural networks is superior to typical machine learning (support vector machine model) in sieving LS data for drug discovery and personalized medicine purposes.
Neuromorphic computing – brain inspired computing – has long been a tantalizing goal. The human brain does with around 20 watts what supercomputers do with megawatts. And power consumption isn’t the only difference. Fundamentally, brains ‘think differently’ than the von Neumann architecture-based computers. While neuromorphic computing progress has been intriguing, it has still not proven very practical.
Researchers have replicated the language processing end of a mental illness using neural network simulations.