Cryptopolitan on MSN

DeepSeek’s MHC debut meets skepticism ahead of peer validation

As costs of developing AI and the limited amount of available hardware, DeepSeek has presented a new plan for developing and ...
EurekAlert!

Maize-IRNet: a deep-learning “field scorer” for tassel anthers and ear seed set

A research team has developed an AI-based approach to streamline the evaluation of maize haploid fertility restoration, a key bottleneck in double haploid (DH) breeding.
IEEE

Improved Deep Learning-Based Microwave Inversion With Experimental Training Data

Abstract: Deep learning-based inversion methods show great promise. The most common way to develop deep learning inversion techniques is to use synthetic (i.e., computationally-generated) data for ...
Open Heart

Development and validation of a deep learning model for severe mitral stenosis detection from chest X-rays

Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...
IEEE

Enhancing Creativity and Validation in Explanatory Deep Learning-Based Symbolic Music Generation: A Hybrid Approach With LSTM and Genetic Algorithms

Abstract: This research proposes an explanatory deep learning-based music generation approach, where the output of a deep learning model is validated through a set of predefined musical rules, with a ...
Forbes

A/B Testing Can Help Transform The Effectiveness Of Employee Training

James Glover (CEO of Flint Learning Solutions) helps HR professionals transform behaviors in their organizations to solve business problems. Providing professional development opportunities is ...
ascopubs.org

Association of deep learning CT response assessment and interpretable components with overall survival in advanced NSCLC: Validation in a trial of sasanlimab and a real-world ...

Use of a large language model (LLM) for pan-cancer automated detection of anti-cancer therapy toxicities and translational toxicity research. Computational pathology to predict docetaxel benefit in ...
C&EN

To Fly, or Not to Fly, That Is the Question: A Deep Learning Model for Peptide Detectability Prediction in Mass Spectrometry

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Taken together, the specific characteristics and properties of ...
Frontiers

Development and validation of a predictive model combining radiomics and deep learning features for spread through air spaces in stage T1 non-small cell lung cancer: a ...

Purpose: The goal of this paper is to compare the effectiveness of three deep learning models (2D, 3D, and 2.5D), three radiomics models(INTRA, Peri2mm, and Fusion2mm ...