AZoRobotics

Machine Learning Predicts Toxic Metal Levels in Marine Systems

Combining machine learning and feature selection, this research accurately predicts aluminum levels in marine environments, ...
Fierce Healthcare

Gen AI chatbots continually struggle with differential diagnoses, Mass General Brigham study finds

Despite increasing artificial intelligence use for healthcare from patients and providers alike, a new study from Mass ...
DataBreachToday

Study: Off-the-Shelf LLMs Not Ready for Clinical Prime Time

General purpose large language model chatbots are getting better at coming up with patients' final diagnoses but are still weak in clinical reasoning, including ...
Futurism

Sam Altman’s Coworkers Say He Can Barely Code and Misunderstands Basic Machine Learning Concepts

Sam Altman, OpenAI’s CEO and the public face of ChatGPT, has carved out an image for himself as one of the preeminent AI whisperers of our age, whose influence supposedly extends to the White House on ...
News Medical

Interpretable machine learning model advances analysis of complex genetic traits

Further simulations show that machine learning models can automatically capture non-additive effects and multi-locus interactions without explicitly specifying interaction terms, thereby improving the ...

Nvidia's Nemotron-Cascade 2 wins math and coding gold medals with 3B active parameters — and its post-training recipe is now open-source

Nvidia's Nemotron-Cascade 2 is a 30B MoE model that activates only 3B parameters at inference time, yet achieved gold medal-level performance at the 2025 IMO, IOI, and ICPC World Finals. Nvidia has ...
VentureBeat

New MiniMax M2.7 proprietary AI model is 'self-evolving' and can perform 30-50% of reinforcement learning research workflow

In the last few years, Chinese AI startup MiniMax has become one of the most exciting in the crowded global AI marketplace, carving out a reputation for delivering frontier-level large language models ...
ascopubs.org

Ensuring Reliability of Curated Electronic Health Record–Derived Data: The Validation of Accuracy for Large Language Model–/Machine Learning–Extracted Information and ...

Early-Stage Breast Cancer in Women Younger Than 50 Years: Comparing American Joint Committee on Cancer Anatomic and Prognostic Stages With Partitioning Around Medoids Clusters in SEER Data Large ...
IEEE

FedCSL: Cyclic Sequential Federated Learning for Mitigating Distributional Shifts in Consumer Healthcare IoT Systems

Abstract: Medical imaging data, such as CT scans, MRIs, and pathology slides, are essential for developing robust Machine Learning (ML) models in consumer healthcare systems. However, the large size ...
Scientific Research Publishing

Black-Litterman Based Portfolio Optimization: A Hybrid Approach ()

We propose a hybrid approach that combines the time-series forecasting model and the ensemble learning algorithm to generate investor views in the Black-Litterman model. Specifically, we first use ...
IEEE

Sequential Optimal Design of Coaxial Magnetic Gears for EV Reducers Using Taguchi Method and Machine Learning Surrogate Model

Abstract: Coaxial magnetic gears (CMGs) have attracted considerable attention as alternatives to mechanical gears, offering contactless torque transmission and reduced mechanical losses. However, ...
blockchain

Google Introduces Sequential Attention to Enhance AI Model Efficiency

According to Richard Seroter, Google Research has unveiled Sequential Attention, a novel mechanism aimed at optimizing AI models by making them leaner and faster without compromising accuracy. This ...