Sentence examples for hardware deep from inspiring English sources

With the rapid development of modern computational hardware, Deep Learning has emerged as a promising computational technique for dynamical system prediction due to its enhanced capability to characterize the system complexity, overcoming the shortcomings of those traditional methods.

Last August, the company first detailed some aspects of Brainwave, which consists of three distinct layers: a high-performance distributed architecture; a hardware deep neural networking engine that has been synthesized onto the FPGAs; and a compiler and runtime for deploying the pre-trained models.

Finally, I will revisit the inefficiencies in current learning algorithms, present DSD training, and discuss the challenges and future work in efficient methods and hardware for deep learning.

Additionally, there will be companies that provide infrastructure services such as orchestration, scale-out, management, and load balancing on specialized hardware for deep learning.

The new hardware enabled Deep Blue to consider as many as 50 billion positions in three minutes, a rate that was about a thousand times faster than Deep Thought's.

As if all this was not enough of a help, Kramnik was also allowed to train against Fritz using the very same 8-processor hardware that Deep Fritz would use in Bahrain.

Getting these cars to drive is a hard engineering and science problem – this talk explains roughly how self driving cars work and how computer vision, from camera hardware to deep learning, help make a self-driving car go.

Complications included painful hardware (44%), deep and superficial wound infections (10%), and hardware failure (4%), including pin breakage and extrusion.

Jen-Hsun committed to it for many years". Nvidia has increasingly optimized its hardware for deep learning.

His Ph.D. research focused on architecture design and hardware implementation for deep learning accelerators.

The results illustrate the promise of the automatic compiler solution for modularized and scalable hardware acceleration of deep learning.