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Spin as an input parameter: Machine learning predicts magnetic properties of materials
Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...
Techopedia19h
GPT-5: Everything We Know About OpenAI’s Next-Gen AI Model
GPT-5 will unify OpenAI’s models with new reasoning and multimodal powers. Learn about the release timeline, access tiers, ...
AGI may be impossible to define, and that’s a multibillion-dollar problem
In fact, it may be impossible to create a universal definition of AGI, but few people with money on the line will admit it.
Hybrid model reveals people act less rationally in complex games, more predictably in simple ones
Throughout their everyday lives, humans are typically required to make a wide range of decisions, which can impact their well ...
IEEE3d
DK-Former: A Hybrid Structure of Deep Kernel Gaussian Process Transformer Network for Enhanced Traffic Sign Recognition - IEEE Xplore
Traffic sign recognition is crucial for enhancing the safety and efficiency of intelligent transportation systems (ITS). This paper proposes a hybrid structure named DK-former, a lightweight and ...
IEEE4d
Gaussian Mixture Model-Based Anomaly Detection for Defense Against Byzantine Attack in Cooperative Spectrum Sensing - IEEE Xplore
Cognitive radio (CR) serves as an effective solution to the spectrum scarcity issue in current wireless communication. Spectrum sensing is one of the key enabling technologies for CR. Spectrum sensing ...
The Lancet6d
Nutritional management adherence via an ePRO platform in patients with cancer: a machine learning model study
The proportion of actual/prescribed intake <60% was set as low adherence. Explainable machine learning models were used to identify predictive features, with SHapley Additive exPlanation (SHAP) ...