Op-Ed: Microsoft’s AI neuroscience writes text to activate regions of your brain

This may well be the answer to AI slop, but it could also be way out of all that tiresome, chronically inefficient language.
IT-Online

Data Scientist (Python, Machine Learning, LLMs) – (In Office) CPT – Western Cape Cape Town

ENVIRONMENT: An Investment company is searching for a talented and driven Data Scientist to join their innovative and growing team based in Durbanville, Cape Town. This is an exciting opportunity to ...
TMCnet

MSCI Announces the Results of the MSCI 2026 Market Classification Review

MSCI released the results of the MSCI 2026 Market Classification Review. Key takeaways from this year's review include: ...

Researchers develop new 'emotionally aware' model for classifying mental health conditions

Researchers have developed a new "emotionally aware" AI-based model for classifying mental health conditions, which could ...
AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
Agence France-Presse

Aptiv Introduces Advanced Occupancy Classification, The Industry’s First Camera-Only Occupant Detection System

Aptiv PLC (NYSE: APTV), a global industrial technology company, today announced the launch of its Advanced Occupancy Classification (AOC) system, the industry’s first occupant detection solution ...
IEEE

Generative and Discriminative Fuzzy Restricted Boltzmann Machine Learning for Text and Image Classification

Abstract: The restricted Boltzmann machine (RBM) is an excellent generative learning model for feature extraction. By extending its parameters from real numbers to fuzzy ones, we have developed the ...
IEEE

Hierarchical Multi-Class and Multi-Label Text Classification for Crime Report: A Traditional Machine Learning Approach

Abstract: Large amounts of digital data are produced daily through society’s use of government and private companies. Digital transformation contributes to the increasing amount of structured and ...

US-DATA Expands Global Data Annotation Services for AI, Computer Vision and Machine Learning Projects

New York, USA - US-DATA helps companies turn raw images, videos, audio and text into high-quality datasets for training, ...
Scientific Research Publishing

Development of Machine Learning Models for Kiswahili Text Classification ()

Text classification plays a critical role in numerous natural language processing applications, yet limited work has addressed the unique linguistic structure of African languages such as Kiswahili.
GitHub

Text classification with Convolution Neural Networks (CNN)

Combine word-level with character-based input. The char input ist optional and can be used for further reasearch. Change padding of conv-layer from same to valid. Add average pooling after conv-layer ...
GitHub

NeuralClassifier: An Open-source Neural Hierarchical Multi-label Text Classification Toolkit

NeuralClassifier is designed for quick implementation of neural models for hierarchical multi-label classification task, which is more challenging and common in real-world scenarios. A salient feature ...