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SpiNNcloud Systems Launches SpiNNaker2 to Advance Neuromorphic Computing for AI Systems

SpiNNcloud Systems Launches SpiNNaker2 to Advance Neuromorphic Computing for AI Systems
hpcwire.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from hpcwire.com Daily Mail and Mail on Sunday newspapers.

Hector Gonzalez , Christian Mayr , Steve Furber , University Of Manchester , Technical University Dresden , Neural Networks , Human Brain Project , Expert Systems , Third Wave , Deep Neural Networks , Non Axiomatic Reasoning System , Spiking Neural Networks , Supercomputer Performance Levels ,

SpiNNcloud unveils Arm-based 'neuromorphic supercomputer'

SpiNNcloud unveils Arm-based 'neuromorphic supercomputer'
theregister.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from theregister.com Daily Mail and Mail on Sunday newspapers.

Steve Furber , Hector Gonzalez , Acorn Computers , Sandia National Laboratories , University Of Manchester , Technical University , Neural Networks , Human Brain , Deep Neural Networks , Expert Systems ,

"IPRemover: A Generative Model Inversion Attack against Deep Neural Net" by Wei Zong, Yang Wai Chow et al.

Training Deep Neural Networks (DNNs) can be expensive when data is difficult to obtain or labeling them requires significant domain expertise.Hence, it is crucial that the Intellectual Property (IP) of DNNs trained on valuable data be protected against IP infringement.DNN fingerprinting and watermarking are two lines of work in DNN IP protection.Recently proposed DNN fingerprinting techniques are able to detect IP infringement while preserving model performance by relying on the key assumption that the decision boundaries of independently trained models are intrinsically different from one another.In contrast, DNN watermarking embeds a watermark in a model and verifies IP infringement if an identical or similar watermark is extracted from a suspect model.The techniques deployed in fingerprinting and watermarking vary significantly because their underlying mechanisms are different.From an adversary's perspective, a successful IP removal attack should defeat both fingerprinting and ....

Training Deep Neural Networks Dnns , Deep Neural Networks , Intellectual Property ,

Financial Market Applications of LLMs

The AI revolution drove frenzied investment in both private and public companies and captured the public’s imagination in 2023. Transformational consumer products like ChatGPT are powered by Large Language Models (LLMs) that excel at modeling sequences of tokens that represent words or parts of words [2]. Amazingly, structural understanding ....

Charlie Munger , Lasse Pedersen , Neural Networksi Sutskever , International Conference , Large Language Models , Hudson River Trading , Deep Neural Networks , Financial Time Series , Neural Information Processing Systems , Stock Price , Return Predictability , Large Language , Synthetic Data , System Card , Sequence Learning , Neural Networks , Data Generation ,

To defeat AI attacks, fight fire with more fire

To defeat AI attacks, fight fire with more fire
csoonline.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from csoonline.com Daily Mail and Mail on Sunday newspapers.

Neural Networks , Large Language Models , Deep Neural Networks ,