Lowering barriers to explainable AI: Control technique for LLMs reduces resource demands by over 90%
Large language models (LLMs) such as GPT and Llama are driving exceptional innovations in AI, but research aimed at improving ...
Abstract: Real-time autonomous control of decentralized drone swarms in dynamic and cluttered environments remains a significant challenge. This paper presents a natural language-driven framework that ...
We introduce ACE-Step, a novel open-source foundation model for music generation that overcomes key limitations of existing approaches and achieves state-of-the-art performance through a holistic ...
Background: Large language models (LLMs) show promise for clinical decision support but often deviate from evidence-based protocols, raising safety and regulatory concerns. Anemia management in ...
The TrooperAI project was a test to see if I could build a low-latency, local (non-networked) voice assistant in Python for the Raspberry Pi. The system combines real-time speech recognition, ...
Abstract: Accurately forecasting wind speed is crucial for efficiently utilizing the renewable energy, stabilizing the energy system and advancing the progress of the decarbonization of our society.
Integrating audio and visual data for training multimodal foundational models remains a challenge. The Audio-Video Vector Alignment (AVVA) framework addresses this by considering AV scene alignment ...
Meta Platforms (META) may release a new large language model in the first-quarter of 2026, as the Mark Zuckerberg-led company looks to further compete with Google (GOOG) (GOOGL), OpenAI (OPENAI) and ...
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