On-Device LLMs for SMEs: Challenges and Opportunities

Autor: Yee, Jeremy Stephen Gabriel, Ng, Pai Chet, Wang, Zhengkui, McLoughlin, Ian, Ng, Aik Beng, See, Simon

This paper presents a systematic review of the infrastructure requirements for deploying Large Language Models (LLMs) on-device within the context of small and medium-sized enterprises (SMEs), focusing on both hardware and software perspectives. From

Externí odkaz: http://arxiv.org/abs/2410.16070

Spot size dependent shock wave, plume and ion expansion dynamics of laser produced YBCO plasma

Autor: Singh, S. C., Fallon, C., Yeates, P., McLoughlin, C., Costello, J. T.

The expansion dynamics of laser produced plasma plumes in gaseous atmospheres exhibit information on plasma-ambient gas interactions which result in plume splitting, shock formation, sharpening and confinement. We investigate laser spot size variatio

Externí odkaz: http://arxiv.org/abs/2409.03846

MAT-SED: A Masked Audio Transformer with Masked-Reconstruction Based Pre-training for Sound Event Detection

Autor: Cai, Pengfei, Song, Yan, Li, Kang, Song, Haoyu, McLoughlin, Ian

Sound event detection (SED) methods that leverage a large pre-trained Transformer encoder network have shown promising performance in recent DCASE challenges. However, they still rely on an RNN-based context network to model temporal dependencies, la

Externí odkaz: http://arxiv.org/abs/2408.08673

Scaling Instructable Agents Across Many Simulated Worlds

Autor: SIMA Team, Raad, Maria Abi, Ahuja, Arun, Barros, Catarina, Besse, Frederic, Bolt, Andrew, Bolton, Adrian, Brownfield, Bethanie, Buttimore, Gavin, Cant, Max, Chakera, Sarah, Chan, Stephanie C. Y., Clune, Jeff, Collister, Adrian, Copeman, Vikki, Cullum, Alex, Dasgupta, Ishita, de Cesare, Dario, Di Trapani, Julia, Donchev, Yani, Dunleavy, Emma, Engelcke, Martin, Faulkner, Ryan, Garcia, Frankie, Gbadamosi, Charles, Gong, Zhitao, Gonzales, Lucy, Gupta, Kshitij, Gregor, Karol, Hallingstad, Arne Olav, Harley, Tim, Haves, Sam, Hill, Felix, Hirst, Ed, Hudson, Drew A., Hudson, Jony, Hughes-Fitt, Steph, Rezende, Danilo J., Jasarevic, Mimi, Kampis, Laura, Ke, Rosemary, Keck, Thomas, Kim, Junkyung, Knagg, Oscar, Kopparapu, Kavya, Lawton, Rory, Lampinen, Andrew, Legg, Shane, Lerchner, Alexander, Limont, Marjorie, Liu, Yulan, Loks-Thompson, Maria, Marino, Joseph, Cussons, Kathryn Martin, Matthey, Loic, Mcloughlin, Siobhan, Mendolicchio, Piermaria, Merzic, Hamza, Mitenkova, Anna, Moufarek, Alexandre, Oliveira, Valeria, Oliveira, Yanko, Openshaw, Hannah, Pan, Renke, Pappu, Aneesh, Platonov, Alex, Purkiss, Ollie, Reichert, David, Reid, John, Richemond, Pierre Harvey, Roberts, Tyson, Ruscoe, Giles, Elias, Jaume Sanchez, Sandars, Tasha, Sawyer, Daniel P., Scholtes, Tim, Simmons, Guy, Slater, Daniel, Soyer, Hubert, Strathmann, Heiko, Stys, Peter, Tam, Allison C., Teplyashin, Denis, Terzi, Tayfun, Vercelli, Davide, Vujatovic, Bojan, Wainwright, Marcus, Wang, Jane X., Wang, Zhengdong, Wierstra, Daan, Williams, Duncan, Wong, Nathaniel, York, Sarah, Young, Nick

Building embodied AI systems that can follow arbitrary language instructions in any 3D environment is a key challenge for creating general AI. Accomplishing this goal requires learning to ground language in perception and embodied actions, in order t

Externí odkaz: http://arxiv.org/abs/2404.10179

Hybrid quantum image classification and federated learning for hepatic steatosis diagnosis

Autor: Lusnig, Luca, Sagingalieva, Asel, Surmach, Mikhail, Protasevich, Tatjana, Michiu, Ovidiu, McLoughlin, Joseph, Mansell, Christopher, Petris, Graziano de', Bonazza, Deborah, Zanconati, Fabrizio, Melnikov, Alexey, Cavalli, Fabio

Publikováno v: Diagnostics 14(5), 558 (2024)

In the realm of liver transplantation, accurately determining hepatic steatosis levels is crucial. Recognizing the essential need for improved diagnostic precision, particularly for optimizing diagnosis time by swiftly handling easy-to-solve cases an

Externí odkaz: http://arxiv.org/abs/2311.02402