Tech Xplore

New method helps AI reason like humans without extra training data

A study led by UC Riverside researchers offers a practical fix to one of artificial intelligence's toughest challenges by ...
Frontiers

Multimodal AI for Cancer Care: From Imaging and Pathology to Treatment Guidance

Accurate risk stratification and treatment selection remain central challenges in cancer care. Rapid advances in medical imaging, digital pathology, and ...

Apple AI research shows how MLLMs understand, generate, search for images

Apple's researchers continue to focus on multimodal LLMs, with studies exploring their use for image generation, ...
Beebom

AI vs Machine Learning: What is the Difference?

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...
C&EN

Machine Learning-Based Prediction Model for the Stretching-Induced II–I Phase Transition of Polybutene-1

The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acsapm.5c02453. Engineering stress–strain curve of polybutene-1 ...
TechCrunch

Sources: Multimodal AI startup Fal AI already raised at $4B+ valuation

Fal.ai, a startup that hosts image, video, and audio AI models for developers, has closed a new round valuing the company at over $4 billion, four people familiar with the deal said. The company ...
IEEE

Machine Learning Techniques to Improve the Cognitive Workload Classification Using Multimodal Sensors’ Data

Abstract: Using machine learning applied to multimodal physiological data allows the classification of cognitive workload (low, moderate, or high load) during task performance. However, current ...
Frontiers

Integrating multimodal ultrasound imaging and machine learning for predicting luminal and non-luminal breast cancer subtypes

Rationale and Objectives: Breast cancer molecular subtypes significantly influence treatment outcomes and prognoses, necessitating precise differentiation to tailor individualized therapies. This ...
GitHub

HunyuanImage-3.0: A Powerful Native Multimodal Model for Image Generation

🧠 Unified Multimodal Architecture: Moving beyond the prevalent DiT-based architectures, HunyuanImage-3.0 employs a unified autoregressive framework. This design enables a more direct and integrated ...
Scientific Research Publishing

Sorour, S.S., Saleh, C.A. and Shazly, M. (2024) A Review on Machine Learning Implementation for Predicting and Optimizing the Mechanical Behaviour of Laminated Fiber-Reinforced ...

ABSTRACT: This paper introduces a method to develop a common model based on machine learning (ML) that predicts the mechanical behavior of a family with three composite materials. The latter are ...
Scientific Research Publishing

Liang, Y., Wei, X., Peng, Y., Wang, X. and Niu, X. (2024) A Review on Recent Applications of Machine Learning in Mechanical Properties of Composites. Polymer Composites, 46 ...

ABSTRACT: This paper introduces a method to develop a common model based on machine learning (ML) that predicts the mechanical behavior of a family with three composite materials. The latter are ...
cmu.edu

Chemists Can Discover New Materials More Quickly With AI

Everyday items like car tires, plastic bags and foam cushions come from materials called polymers that can take years to develop and test. Researchers at Carnegie Mellon University and the University ...