Meta’s Brain2Qwerty v2 turns thoughts into text, and it doesn’t need brain implants

Meta has unveiled Brain2Qwerty v2, an AI system that converts brain activity into text without surgery, bringing assistive communication a step closer to reality.
IEEE

Lost and Found Campus Portal

Abstract: This paper presents the Lost and Found Campus Portal, a web-based system to streamline reporting and recovery of lost items on a college campus. The portal enables users to register, log in, ...
IEEE

Tamilnews Inspector: A Multilingual Fake News Detection Framework Using Sentence Embeddings and Ensemble Learning

Abstract: TamilNews Inspector is a multilingual fake news detection framework developed to tackle the growing dissemination of fake news in linguistically diverse digital landscapes, explicitly ...
Hacker

Build a Vector Search Engine in Python with FAISS and Sentence Transformers

A seasoned software engineer with over 15 years of experience developing scalable web & enterprise applications If you’ve used ChatGPT, Perplexity, or any modern AI-powered search engine recently, you ...
note

How to implement RAG + LLM with Gemma 2 2B (Python)

While standard LLMs have fixed training data, RAG allows you to generate answers while searching and utilizing your own data, such as PDFs, TXT files, or CSVs. from transformers import ...
Hacker

Embeddings for RAG - A Complete Overview

I am an AI Reseach Engineer. I was formerly a researcher @Oxford VGG before founding the AI Bites YouTube channel. I am an AI Reseach Engineer. I was formerly a researcher @Oxford VGG before founding ...
VentureBeat

The ‘strawberrry’ problem: How to overcome AI’s limitations

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now By now, large language models (LLMs) like ...