Alibaba’s new Qwen model to supercharge AI transcription tools
AI speech transcription tools are about to get a lot more competitive with Alibaba’s Qwen team pulling unveiling the Qwen3-ASR-Flash...
AI News
Fighting online fraud with AI
AI News caught up with Siddhartha Choudhury, a Senior Product Manager at Booking.com, to get the inside scoop on how...
A New MIT Study Shows Reinforcement Learning Minimizes Catastrophic Forgetting Compared to Supervised Fine-Tuning
What is catastrophic forgetting in foundation models? Foundation models excel in diverse domains but are largely static once deployed. Fine-tuning...
How to Create a Bioinformatics AI Agent Using Biopython for DNA and Protein Analysis
class BioPythonAIAgent: def __init__(self, email=""): self.email = email Entrez.email = email self.sequences = {} self.analysis_results = {} self.alignments = {}...
Meta Superintelligence Labs Introduces REFRAG: Scaling RAG with 16× Longer Contexts and 31× Faster Decoding
A team of researchers from Meta Superintelligence Labs, National University of Singapore and Rice University has unveiled REFRAG (REpresentation For...
Tilde AI Releases TildeOpen LLM: An Open-Source Large Language Model with Over 30 Billion Parameters and Support Most European Languages
Latvian language-tech firm Tilde has released TildeOpen LLM, an open-source foundational large language model (LLM) purpose-built for European languages, with...
From Pretraining to Post-Training: Why Language Models Hallucinate and How Evaluation Methods Reinforce the Problem
Large language models (LLMs) very often generate “hallucinations”—confident yet incorrect outputs that appear plausible. Despite improvements in training methods and...
Alibaba AI Unveils Qwen3-Max Preview: A Trillion-Parameter Qwen Model with Super Fast Speed and Quality
Alibaba’s Qwen Team unveiled Qwen3-Max-Preview (Instruct), a new flagship large language model with over one trillion parameters—their largest to date....
Meet ARGUS: A Scalable AI Framework for Training Large Recommender Transformers to One Billion Parameters
Yandex has introduced ARGUS (AutoRegressive Generative User Sequential modeling), a large-scale transformer-based framework for recommender systems that scales up to...
Hugging Face Open-Sourced FineVision: A New Multimodal Dataset with 24 Million Samples for Training Vision-Language Models (VLMs)
Hugging Face has just released FineVision, an open multimodal dataset designed to set a new standard for Vision-Language Models (VLMs)....
Google AI Introduces Personal Health Agent (PHA): A Multi-Agent Framework that Enables Personalized Interactions to Address Individual Health Needs
https://arxiv.org/abs/2508.20148v1 What is a Personal Health Agent? Large language models (LLMs) have demonstrated strong performance across various domains like clinical...
How to Build a Complete End-to-End NLP Pipeline with Gensim: Topic Modeling, Word Embeddings, Semantic Search, and Advanced Text Analysis
In this tutorial, we present a complete end-to-end Natural Language Processing (NLP) pipeline built with Gensim and supporting libraries, designed...
UK AI sector growth hits record £2.9B investment
A government report has found that surging investment has driven UK AI sector growth to outpace the wider economy by...
Meet Chatterbox Multilingual: An Open-Source Zero-Shot Text To Speech (TTS) Multilingual Model with Emotion Control and Watermarking
Resemble AI has recently released Chatterbox Multilingual, a production grade open-source Text To Speech (TTS) model designed for zero-shot voice...
Biomni-R0: New Agentic LLMs Trained End-to-End with Multi-Turn Reinforcement Learning for Expert-Level Intelligence in Biomedical Research
The Growing Role of AI in Biomedical Research The field of biomedical artificial intelligence is evolving rapidly, with increasing demand...
Google AI Releases EmbeddingGemma: A 308M Parameter On-Device Embedding Model with State-of-the-Art MTEB Results
EmbeddingGemma is Google’s new open text embedding model optimized for on-device AI, designed to balance efficiency with state-of-the-art retrieval performance....
Google DeepMind Finds a Fundamental Bug in RAG: Embedding Limits Break Retrieval at Scale
Retrieval-Augmented Generation (RAG) systems generally rely on dense embedding models that map queries and documents into fixed-dimensional vector spaces. While...
Resham Kotecha, Open Data Institute: How the EU can lead in AI
The EU has a chance to shape how the world approaches AI and data governance. AI News spoke with Resham...
From minutes to milliseconds: How CrateDB is tackling AI data infrastructure
The promise of AI remains immense – but one thing might be holding it back. “The infrastructure that powers AI...
What is OLMoASR and How Does It Compare to OpenAI’s Whisper in Speech Recognition?
The Allen Institute for AI (AI2) has released OLMoASR, a suite of open automatic speech recognition (ASR) models that rival...
Switzerland releases its own fully open AI model
A group of Swiss institutions has released a new open AI model, designed to serve as a foundation for future...
Google Brings Gemini CLI to GitHub Actions: Secure, Free, and Enterprise-Ready AI Integration
How do devs integrate coding capabilities directly into their GitHub repositories? Google has recently introduced Gemini CLI GitHub Actions, a...
