A multi-classification deep neural network for cancer type identification from high-dimension, small-sample and imbalanced gene microarray data Yifu Zeng ,Yixiang Zhang &He Sui Article 12 February 2025|Open Access Study on the bearing performance of extra-long pile group foundation in accumulation slo...
All items relevant to building practical systems are within its scope, including but not limited to: adaptive computing algorithms applicable neural networks theory applied statistics architectures artificial intelligence benchmarks case histories of innovative applications fuzzy logic genetic algorithms hardware...
Experts said building a national computing power network will enable the less-developed regions to handle and store data transmitted from the economically advanced areas, optimize resource allocation and enhance the efficient use of resources. That, in turn, will resolve excessive data surges and imbal...
Studies have been done to imitate how the human brain learns and computes by using computer hardware in the form of an artificial neural network to simulate human learning abilities. The anatomy of the human brain, which has over one billion neurons and trillions of synapses, is extremely ...
Explore NVIDIA Modulus, a neural network framework that blends the power of physics in the form of governing partial differential equations (PDEs) with data to build high-fidelity, parameterized surrogate models with near-real-time latency. Whether you’re looking to get started with AI-driven phy...
This paper synthesizes 20 years (1999–2019) of empirical research on women of color (WOC) in computing and tech graduate education. Using complementary theoretical frameworks of social pain and community cultural wealth (CCW), we identify factors in the research literature that affect WOC’s expe...
or even to surpass and assist the human in certain ways. The Visual Computing Group at Microsoft Research Asia consists of an elite team of researchers whose expertise spans the spectrum of research topics in computer vision, from mathematical theory to practical applications, from physical systems ...
the processing layer to produce the final output. Reminiscent of many biological neuronal systems, the front end of an RC network, including its input and processing layers, is fixed and non-adaptive, which transforms input signals before reaching the output layer; in the last, output part of ...
AI Round-Up - November 2024 Nov 4, 2024|Tim Wright The AI revolution is in overdrive. Blink and you'll miss it. Breakthroughs are dropping faster than … Read More More Insights
Any node can be seen as part of a graph, with the capacity to serve as a computing or network router node, or both. Complex applications can possibly be distributed over this graph or network of nodes to improve the overall performance like the amount of data processed over time. In this...