Open source machine learning systems are highly vulnerable to security threats
The growing adoption of machine learning across industries highlights the critical need to secure ML systems, as ...
‘Deep Research’ shows how Google can win the AI race
That strategy would mark a dramatic shift in the White House’s posture. Biden’s executive order on AI called on AI companies ...
TMCnet4d
From Months to Minutes: VersAI™ Sets New Standard for AI Training Speed
Fundamental differences in network architectur give rise to VersAI's faster training speeds. "Unlike Deep Learning AI, VersAI uses a completely novel and proprietary neural 'network of networks' ...
GEN5d
Deep Learning Slashes Cell Line Development Time
The tested model identified the best and least good variants and had a 74% overlap with real-life data on the average ...
eeworldonline5d
How do generative AI, deep reinforcement learning, and large language models optimize EDA?
Discover how generative AI and deep reinforcement learning are revolutionizing electronic design automation in the ...
Building Large-Scale Machine Learning/AI Systems with Niloy Gupta
Niloy Gupta, Machine Learning Engineer Tech Lead at Attentive Mobile, is an expert in scaling machine learning systems for ...
'Unforgivable' | Newly filed lawsuit alleges 2-year-old girl was trapped inside drain full of water at North Texas daycare
The incident reportedly occurred on Nov. 1 at Children’s Lighthouse in Prosper, where the girl was playing on the daycare ...
thedeepdive14d
Could Assad’s Fall Revive Qatar-Turkey Gas Pipeline Plans?
The collapse of Syria’s Assad regime could revive discussion of a strategic natural gas pipeline project that was blocked for over a decade, though significant security and political challenges remain ...
GitHub15d
pipeline-parallelism
Personal Project: MPP-Qwen14B & MPP-Qwen-Next(Multimodal Pipeline Parallel based on Qwen-LM). Support [video/image/multi-image] {sft/conversations}. Don't let the ...
Frontiers16d
Explainable light-weight deep learning pipeline for improved drought stress identification
The practical application involves taking an input image that the deep learning pipeline can classify as healthy or stressed. According to the trained model, we can then use the identified stressed ...