Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...
Foundation models are AI systems trained on vast amounts of data — often trillions of individual data points — and they are capable of learning new ways of modeling information and performing a range ...
As language models (LMs) improve at tasks like image generation, trivia questions, and simple math, you might think that ...
Obsessing over model version matters less than workflow.
Cellular, animal and computational models of the disease are providing fresh insights into biology and treatment.
Abstract: Adversarial examples (AEs) are typical model evasion attacks and security threats in deep neural networks (DNNs). One of the countermeasures is adversarial training (AT), and it trains DNNs ...
According to DeepSeek, the V3.2 reaches or approaches the results of GPT-5, Sonnet 4.5 and Gemini 3 Pro in math tests, tool usage, and programming — areas considered the "heart" of the current race ...
Comprehensive repository offering official resources, detailed guides, and reference materials for Wolfram SystemModeler on Windows PCs. Designed to support users with accurate documentation and ...
Abstract: This paper presents a novel approach for automatic prompt optimization (APO) using a large language model (LLM) as an optimizer, named Prompt Evolution Through Examples (PETE). The approach ...
The model that recently went viral is improved with Gemini 3 Pro. The model that recently went viral is improved with Gemini 3 Pro. is a deputy editor and Verge co-founder with a passion for ...
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