AI systems will learn bad behavior to meet performance goals, suggest researchers

Two researchers at Stanford University suggest in a new preprint research paper that repeatedly optimizing large language ...

Large Language Models Get All the Hype, but Small Models Do the Real Work

For many tasks in corporate America, it’s not the biggest and smartest AI models, but the smaller, more simplistic ones that ...

Which Machine Learning Models Are Most Used In Crypto Signal Generation?

Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...

IBM's open source Granite 4.0 Nano AI models are small enough to run locally directly in your browser

IBM is entering a crowded and rapidly evolving market of small language models (SLMs), competing with offerings like Qwen3, ...
eLife

Critique of impure reason: Unveiling the reasoning behaviour of medical large language models

A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...
Scientific Research Publishing

Estimating Average and Heterogeneous Effects of Special Education: A Causal Machine Learning Perspective ()

Causal Machine Learning (CML) unites ML techniques with CI in order to take advantage of both approaches’ strengths. CML ...

Electrohydrodynamics pump and machine learning enable portable high-performance excimer laser

According to a recent study published in APL Photonics, a research team led by Prof. Liang Xu from the Hefei Institutes of ...
The Register on MSN

DGX Spark, Nvidia’s tiniest supercomputer, tackles large models at solid speeds

This relatively-affordable AI workstation isn’t about going fast; it’s about doing everything well enough Review Nvidia bills its long-anticipated DGX Spark as the "world's smallest AI supercomputer," ...

DeepSeek claims its new AI model can cut the cost of predictions by 75% - here's how

Last week, DeepSeek unveiled its latest research, DeepSeek-V3.2-Exp. On its corporate blog, the company claims the new model can cut the cost of making predictions, known as inference, by 75%, from $1 ...
Frontiers

Key parameters in intratumoral-peritumoral region fusion models: optimizing deep learning radiomics for breast cancer diagnosis

Background: Early diagnosis of breast cancer (BC) is crucial for improving patient outcomes. Features of the peritumoral region have been shown to significantly enhance the predictive performance of ...
eLife

Comprehensive Neural Representations of Naturalistic Stimuli through Multimodal Deep Learning

This study presents a valuable application of a video-text alignment deep neural network model to improve neural encoding of naturalistic stimuli in fMRI. The authors found that models based on ...
Frontiers

LiSA-MobileNetV2: an extremely lightweight deep learning model with Swish activation and attention mechanism for accurate rice disease classification

Hunan Engineering and Technology Research Center for Agricultural Big Data Analysis & Decision-making, Hunan Agricultural University, Changsha, China In the context of intelligent agriculture in China ...