AI-powered startups are proving the Tiny Team era is here. Five founders and employees share the pros and cons of working ...
Abstract: Effective memory optimization is essential for tiny machine learning because tiny embedded systems generally have limited memory for model execution. Previous research has proposed various ...
Abstract: Attitude control of small aircraft under unknown disturbances poses a tricky task. This article proposes a model predictive controller (MPC) for small aircraft based on online disturbance ...
Artificial intelligence (AI) is often linked to supercomputers and massive data centers, but Kennesaw State University researcher Bobin Deng is aiming for something a bit more accessible through a new ...
SOUTH SAN FRANCISCO, Calif.--(BUSINESS WIRE)--insitro, a pioneer in machine learning for drug discovery and development, today announced a new collaboration with Eli Lilly and Company (Lilly) to ...
insitro, a pioneer in machine learning for drug discovery and development, today announced a new collaboration with Eli Lilly and Company (Lilly) to develop advanced machine learning models that can ...
The arrival of the 2025 NFL season means more than just making spread or total picks, as it also gives bettors the opportunity to make NFL prop bets on the league's biggest stars. From the 13 games on ...
This is the code of the paper 'Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation' (Accepted by AAAI 2025).
US Army paratroopers are adapting to the service's push to develop drone warfare skills. They're looking at specific capabilities, testing, and learning lessons in real time. Feedback and ...
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