Results 231 to 240 of about 132,184 (282)

Falcon: A Remote Sensing Vision-Language Foundation Model

arXiv.org
This paper introduces a holistic vision-language foundation model tailored for remote sensing, named Falcon. Falcon offers a unified, prompt-based paradigm that effectively executes comprehensive and complex remote sensing tasks.
Kelu Yao, Nuo Xu, Rong Yang, Yingying Xu, Zhuoyan Gao, Titinunt Kitrungrotsakul, Yi Ren, Pu Zhang, Jin Wang, N. Wei, Chao Li   +10 more
semanticscholar   +1 more source

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance

arXiv.org
In this report, we introduce Falcon-H1, a new series of large language models (LLMs) featuring hybrid architecture designs optimized for both high performance and efficiency across diverse use cases.
Jingwei Zuo, Maksim Velikanov, Ilyas Chahed, Younes Belkada, Dhia Eddine Rhayem, Guillaume Kunsch, Hakim Hacid, Hamza Yous, Brahim Farhat, Ibrahim Khadraoui, Mugariya Farooq, Giulia Campesan, Ruxandra-Aimée Cojocaru, Y. Djilali, Shiyan Hu, Iheb Chaabane, Puneesh Khanna, M. Seddik, Ngoc Dung Huynh, P. L. Khac, Leen AlQadi, Billel Mokeddem, Mohamed Chami, Abdalgader Abubaker, Mikhail Lubinets, Kacper Piskorski, S. Frikha   +26 more
semanticscholar   +1 more source

FALCON- FArm Level CONtrol for wind turbines using multi-agent deep reinforcement learning

Renewable Energy, 2022
Turbines in a wind farm dynamically influence each other through wakes. Therefore trade-offs exist between energy output of upstream turbines and the health of downstream turbines.
Venkata Ramakrishna Padullaparthi, S. Nagarathinam, Arunchandar Vasan, Vishnu P. Menon, Depak Sudarsanam   +4 more
semanticscholar   +1 more source

FALCONS

2022
  +9 more sources

FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers

arXiv.org
The incorporation of high-resolution visual input equips multimodal large language models (MLLMs) with enhanced visual perception capabilities for real-world tasks. However, most existing high-resolution MLLMs rely on a cropping-based approach to process
Renshan Zhang, Rui Shao, Gongwei Chen, Kaiwen Zhou, Weili Guan, Liqiang Nie   +5 more
semanticscholar   +1 more source

FALCON

Proceedings of the 51st Annual Design Automation Conference, 2014
In this paper, we focus on systematic and efficient computation (accurate value or an estimate) of metrics such as performance, power, energy, etc. of a component-based parameterized system-on-chip (SoC). Traditionally, given models of SoC components (such as cycle-accurate simulator of a processor, trace-based simulator of a cache/memory), a designer ...
Haris Javaid, Yusuke Yachide, Su Myat Min Shwe, Haseeb Bokhari, Sri Parameswaran   +4 more
openaire   +1 more source

Falcon Mamba: The First Competitive Attention-free 7B Language Model

arXiv.org
In this technical report, we present Falcon Mamba 7B, a new base large language model based on the novel Mamba architecture. Falcon Mamba 7B is trained on 5.8 trillion tokens with carefully selected data mixtures.
Jingwei Zuo, Maksim Velikanov, Dhia Eddine Rhaiem, Ilyas Chahed, Younes Belkada, Guillaume Kunsch, Hakim Hacid   +6 more
semanticscholar   +1 more source

Falcons

Proceedings of the 17th international conference on World Wide Web, 2008
As of today, the amount of data on the Semantic Web has grown considerably. The services for searching and browsing entities on the Semantic Web are in demand. To provide such services, we developed the Falcons system. In this poster, we present the features of the Falcons system.
Gong Cheng, Weiyi Ge, Yuzhong Qu
openaire   +1 more source

SHIFT SNARE: Uncovering Secret Keys in FALCON via Single-Trace Analysis

IACR Cryptology ePrint Archive
This paper presents a novel singletrace sidechannel attack on FALCON a latticebased postquantum digital signature protocol recently approved for standardization by NIST We target the discrete Gaussian sampling operation within FALCONs key generation ...
Jinyi Qiu, Aydin Aysu
semanticscholar   +1 more source

FALCON Down: Breaking FALCON Post-Quantum Signature Scheme through Side-Channel Attacks

Design Automation Conference, 2021
This paper proposes the first side-channel attack on FALCON—a NIST Round-3 finalist for the post-quantum digital signature standard. We demonstrate a known-plaintext attack that uses the electromagnetic measurements of the device to extract the secret ...
E. Karabulut, Aydin Aysu
semanticscholar   +1 more source