Dernières nouvelles sur l'apprentissage automatique

The information in this post is based on the details of the attack as known on the 7th June 2023.  The recently announced MOVEit Transfer vulnerability is a great example (perhaps not, if you are impacted by it) of cyber security attack trends coming together as an extremely effective and...

Pre-crash injury risk (IR) assessment is essential for guiding efforts toward active vehicle safety. This work aims to conduct crash severity assessment using pre-crash information and establish the intrinsic mechanism of IR with proper interpretation methods. The impulse–momentum theory is used to propose novel a priori formulations of several severity...

Accurate diagnosis and classification of epileptic seizures can greatly support patient treatments. As many epileptic seizures are convulsive and have a motor component, the analysis of muscle activity can provide valuable information for seizure classification. Therefore, this paper present a feasibility study conducted on healthy volunteers, focusing on tracking epileptic...

Nowadays, many computation tasks are carried out using cloud computing services and virtualization technology. The intensive resource requirements of virtual machines have led to the adoption of a lighter solution based on containers. Containers isolate packaged applications and their dependencies, and they can also operate as part of distributed applications....

A highlight of the best online courses to learn artificial intelligence (AI) and machine learning from TechRepublic Academy. Learn more The post Top Artificial Intelligence Courses from TR Academy appeared first on TechRepublic....

By applying a language model to protein-drug interactions, researchers can quickly screen large libraries of potential drug compounds....

The scientists used a natural language-based logical inference dataset to create smaller language models that outperformed much larger counterparts....

Make way for another forum on AI safety. The U.K. government has announced it will convene a “global” AI summit this fall with the aim of agreeing “safety measures to evaluate and monitor the most significant risks from AI”, as its PR puts it. There’s no word on who will...

A combined machine learning-Physics-based approach for the thermodynamic design of complex systems is introduced and applied....

Background: Human leukocyte antigen (HLA) alleles are critical components of the immune system’s ability to recognize and eliminate tumors and infections. A large number of machine learning-based major histocompatibility complex (MHC) binding affinity (BA) prediction tools have been developed and are widely used for both investigational and therapeutic applications, so...

Modeling gas flow through fractures of subsurface rock is a particularly challenging problem because of the heterogeneous nature of the material. High-fidelity simulations using discrete fracture network (DFN) models are one methodology for predicting gas particle breakthrough times at the surface, but are computationally demanding. We propose a Bayesian machine...

Machine learning force fields (MLFF) have been proposed to accelerate molecular dynamics (MD) simulation, which finds widespread applications in chemistry and biomedical research. Even for the most data-efficient MLFFs, reaching chemical accuracy can require hundreds of frames of force and energy labels generated by expensive quantum mechanical algorithms, which may...