arxiv.org/abs/1901.07299v3
Timely detection of Hardware Trojans (HTs) has become a major challenge for secure integrated circuits. We present a run-time methodology for HT detection that employs a multi-parameter statistical traffic modeling of the communication channel in a g...
arxiv.org/abs/cond-mat/0205173v2
The full parameter space of the transition from Townsend to glow discharge is investigated numerically in one space dimension in the classical model: with electrons and positive ions drifting in the local electric field, impact ionization by electr...
arxiv.org/abs/astro-ph/0210175v1
We calculate the crustal rigidity parameter, b, of a neutron star (NS), and show that b is a factor 40 smaller than the standard estimate due to Baym & Pines (1971). For a NS with a relaxed crust, the NS's free-precession frequency is directly prop...
arxiv.org/abs/1808.00998v2
The complexity of mathematical models describing respiratory mechanics has grown in recent years to integrate with cardiovascular models and incorporate nonlinear dynamics. However, additional model complexity has rarely been studied in the context o...
www.reddit.com/r/MachineLearning/comments/18wmred/d_understanding_deepspeed_3_configuration/
So i want to full parameter fintune mistral 7b model on my custom dataset i have access to 4 A10G gpus which they have 96 GB in total and maybe 8 A100G 40GB which makes 320 GB in total usin...
www.reddit.com/r/ArtificialInteligence/comments/1nzcovn/google_just_cut_off_90_of_the_internet_from_ai_no/
Last month Google quietly removed the `num=100` search parameter, the trick that let you see 100 results on one page instead of the default 10. It sounds small, but it is not. You can no longer view 1...
github.blog/changelog/2025-01-29-deepseek-r1-is-now-available-in-github-models-public-preview
The latest trending AI model DeepSeek-R1 is now available in GitHub Models. DeepSeek-R1 is a 671B parameter AI model designed to enhance deep learning, natural language processing, and computer vision…
blog.eleuther.ai/llemma
ArXiv | Models | Data | Code | Blog | Sample Explorer Today we release Llemma: 7 billion and 34 billion parameter language models for mathematics. The Llemma models were initialized with Code Llama weights, then trained on the Proof-Pile II, a 55 billion token…