Explainable AI (XAI) is a growing field that aims to shed light on how deep neural networks (DNNs) make decisions in a way that…
Browsing: Deep Neural Networks
Siracusa is a near-sensor heterogeneous SoC for next-generation XR devices that combines an octa-core cluster of RISC-V DSP cores with a novel “At-Memory” integration…
This article discusses the use of deep neural networks (DNNs) and citizen science data to map the spatiotemporal distributions of thousands of plant species…
The article discusses the challenges of structural rigidity in deep neural networks and explores methods such as Indirect Encoding and Graph Neural Networks to…
SpiNNcloud, a University of Dresden spinout, is offering a five-billion neuron supercomputer in the cloud based on the second generation of Steve Furber’s SpiNNaker…
This article discusses the use of machine learning and deep neural networks in predicting torsional energy profiles for various molecules. The ANI-1ccx and ANI-2x…
This article discusses various methods for protecting edge computing and IoT-based frameworks from intrusion detection and identification. The research analyzes existing studies and compares…
This article discusses the advancements in few-/zero-shot learning, which allows machines to learn from a few or even zero labeled samples. It highlights the…
The article discusses the impact of generative artificial intelligence on the digital landscape, including both positive and negative effects. It specifically focuses on the…
SpiNNcloud Systems is developing a neuromorphic supercomputer with up to 10bn neurons, designed to handle event driven neural networks, deep neural networks, and symbolic…