RCLI is an on-device voice AI for macOS. A complete STT + LLM + TTS + VLM pipeline running natively on Apple Silicon — 40 macOS actions via voice, local RAG over your documents, on-device vision ...

March 3 (Reuters) - OpenAI is developing a new code-hosting platform to rival Microsoft's (MSFT.O), opens new tab GitHub, The Information reported on ‌Tuesday, citing a person with knowledge of the ...

A vulnerability in GitHub Codespaces could have been exploited by bad actors to seize control of repositories by injecting malicious Copilot instructions in a GitHub issue. The artificial intelligence ...

KittenTTS, developed by Kitten ML, is a compact and efficient text-to-speech (TTS) system designed for resource-constrained environments. As explained by Sam Witteveen, it operates seamlessly on edge ...

Abstract: Generating accurate SQL from users’ natural language questions (text-to-SQL) remains a long-standing challenge due to the complexities involved in user question understanding, database ...

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As AI adoption speeds ahead, major security flaws remain unsolved. Users and businesses should stay up to date on vulnerabilities. These four major issues still plague AI integration. AI systems are ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. AT&T is using more and more AI. Increasingly, the company is getting value from SLMs: small ...

One of the biggest SEO challenges right now isn’t AI. It’s the irresponsible misinformation surrounding it. SEO isn’t dying — it’s evolving. That means it’s on us to understand how the industry is ...

Stronger-than-expected fourth-quarter bookings on AI chip demand Set to cut 1,700 jobs, 3.8% of staff, in Netherlands and US Raises 2026 sales outlook amid increased AI-related investments ASML shares ...

This project focuses on detecting machine-generated text (MGT) using deep learning-based embeddings from DistilBERT and XLM-RoBERTa models. The embeddings are classified using XGBoost to achieve high ...

Our LLM API bill was growing 30% month-over-month. Traffic was increasing, but not that fast. When I analyzed our query logs, I found the real problem: Users ask the same questions in different ways. ...