AZoM on MSN1d
Harnessing Quantum Computing for the Design of Advanced Photochromic Materials
The integration of quantum chemistry and machine learning in this study accelerates the discovery of photochromic materials, ...
Tech Xplore on MSN1d
Ronaldo's Siuuu celebration: Whole-body training model allows robots to mimic famous athlete moves
A team of AI and robotics researchers at Carnegie Mellon University, working with a pair of colleagues from technology ...
Techopedia9h
AI Training Data Has Run Out: Where Do We Go From Here?
What happens when AI training data runs out? Is this a breaking point for AI or the best thing that ever happened to it?
Novel quantum-classical computing scheme for designing light-sensitive compounds could accelerate material discovery
Recently, a joint research team developed a novel quantum-classical computing scheme for designing photochromic ...
Tech Xplore on MSN1d
Academic researchers find a way to train an AI reasoning model for less than $50
A small team of AI researchers from Stanford University and the University of Washington has found a way to train an AI ...
AlphaGalileo3h
Multi-photon bionic skin realizes high-precision haptic visualization for reconstructive perception
A new publication from Opto-Electronic Advances; DOI 10.29026/oea.2025.240152, discusses how multi-photon bionic skin ...
Frontiers5d
Machine Learning Models for Predicting In-Hospital Mortality in Acute Aortic Dissection Patients
Python programming software (version 3.6) was used to build the predictive models. Figure 1. Training and evaluation procedures of machine learning model. The model performance of the test set was ...
Frontiers5d
Determining the Area of Ancestral Origin for Individuals From North Eurasia Based on 5,229 SNP Markers
The logistic regression was chosen as the best mathematical model for predicting ancestral populations. The machine learning algorithm for inferring ... the data would be more appropriate, so that the ...
GitHub4d
Eagle Family: Exploring Model Designs, Data Recipes and Training Strategies for Frontier-Class Multimodal LLMs
By combining these strategies with robust training recipes and model design, we introduce Eagle2, a family of performant VLMs. Our work aims to empower the open-source community to develop competitive ...
MLB6d
Wind effect: These ballparks, players were most impacted by the weather
With Spring Training rapidly approaching, we now have projected standings from two of the most trusted sources around: Baseball Prospectus’ PECOTA and FanGraphs, which uses a combination What many in ...