JOURNAL ARTICLE Published In: Journal of Intelligent & Fuzzy Systems, 2024, v. 47. P. 245 1 of 3 Database: Academic Search Ultimate 2 of 3 Authored By: Lamani, Dharmanna; Shanthi, T.S.; Kirubakaran, M.K.; Roopa, R. 3 of 3 Abstract The article focuses on the development and evaluation of SSWSO LeNet, an optimized deep learning model

Open-weight models are changing the economics of building and deploying AI at scale. Rapid gains in intelligence and efficiency mean companies can match each workload with the right balance of capability, speed, and cost. AWS is building for a future in which organizations can adopt open-weight innovation with the reliability and security required for production.

image:  The development of an ML model involving the inclusion of stroke-related biological processes. view more  Credit: Targetome A research team has developed an artificial intelligence-integrated framework that combines pathway-based machine learning, transcriptomic prediction, and pharmacophore analysis to rapidly identify and optimize therapeutic candidates for ischemic stroke. The system prioritized cannabidiol (CBD) as a repurposable

Deploying a Hugging Face model to production means making a dozen decisions: choosing the right serving container for the model’s architecture, confirming the current image tag for your AWS Region, and matching an instance type to the model’s memory footprint. Beyond infrastructure, you must wire autoscaling so you don’t burn GPU hours on an idle

Zebra’s STRIPES dataset combines AI with physics-simulated damage to improve object detection in the warehouse Register for FREE to keep reading Join 10,000+ vision professionals driving innovation in automation, AI and imaging with: Expert insights on vision, robotics, AI & embedded tech Newsletters and features covering the full imaging landscape Visionaries series: leadership strategies in

A new method, called CW-Net, translates the reasoning process of an autonomous vehicle’s AI system into understandable concepts that explain its behavior. Autonomous car. Image credit: Wayve Self-driving cars are often controlled by deep learning models that sometimes fail in unexpected situations. For instance, the car might inexplicably brake and block the path of an

Dr. Ming Dong, left, and Dr. Karim Dirani are teaming up on the pilot project “Predicting Visual Field Progression from Structural and Functional Measurements Toward Multimodal Personalized Glaucoma Modeling.” A research duo at Wayne State University is working to develop an artificial intelligence-based framework to better predict visual-field outcomes in glaucoma patients. The project is

Using an advanced imaging technique to create high-fidelity 4D movies, UC San Diego researchers can now predict how mitochondria within human cells will respond to drug treatment. An AI model called MitoSpace and "digital twins" of real cells could help scientists find new treatments for diseases such as cancer, diabetes and Alzheimer’s. (UC San Diego