Small Language Models Outperform Frontier AI On Cost, Speed And Accuracy

Bigger has defined AI from day one. New data says task-specific small models beat frontier LLMs on accuracy, cost and speed — and save money.
Forbes

AI Humanizers Promise More ‘Human’ Writing—But Authenticity Is Hard To Capture

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. More professionals are using AI, but there is also a growing backlash against formulaic AI ...

Quantum-inspired AI could tailor patients' cancer treatment to their entire molecular background

For a child diagnosed with neuroblastoma—the most common infant cancer, occurring when early nerve cells grow out of ...
NERDBOT

Beyond OCR: The Three Core Challenges of Translating Visual Text—and How One Platform Tackles Them

Explore the three core challenges of translating visual text beyond OCR, including context, layout, and multilingual accuracy ...
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 ...
Scientific Research Publishing

Deep Reinforcement Learning for Phishing Detection with Transformer-Based Semantic Features ()

Phishing is a form of cybercrime in which people are deceived into exposing their personal information which can result in ...

Harsh Singhal: The AI Engineer Who Taught Machines To Understand Hate Speech In 20 Languages

AI engineer Harsh Singhal built KooBERT, a groundbreaking multilingual transformer that detects hate speech and toxicity ...
GitHub

Machine Learning with PyTorch and Scikit-Learn Book

Helpful installation and setup instructions can be found in the README.md file of Chapter 1. In addition, Zbynek Bazanowski contributed this helpful guide explaining how to run the code examples on ...
Nature

Optimizing unsupervised clustering of electrochemical impedance spectra via normalization and dimensionality reduction

Electrochemical impedance spectroscopy (EIS) is entering an exciting stage of development as machine learning–driven (ML) spectral analysis begins to complement traditional equivalent-circuit fitting ...
IEEE

Emo-SL Framework: Emoji Sentiment Lexicon Using Text-Based Features and Machine Learning for Sentiment Analysis

Abstract: Recently, given the rise of types of social media networks, the analysis of sentiment and opinions in textual data has gained significant importance. However, sentiment analysis in informal ...