Zobrazeno 1 - 10
of 80 822
pro vyhledávání: '"A. Gandhi"'
Autor:
Koeplinger, David, Gandhi, Darshan, Nandkar, Pushkar, Sheeley, Nathan, Musaddiq, Matheen, Zhang, Leon, Goodbar, Reid, Shaffer, Matthew, Wang, Han, Wang, Angela, Wang, Mingran, Prabhakar, Raghu
Token generation speed is critical to power the next wave of AI inference applications. GPUs significantly underperform during token generation due to synchronization overheads at kernel boundaries, utilizing only 21% of their peak memory bandwidth.
Externí odkaz:
http://arxiv.org/abs/2410.23668
Autor:
Nandi, Ankita, Gandhi, Krishil, Singh, Mahendra Pratap, Chakrabartty, Shantanu, Thakur, Chetan Singh
Diverse computing paradigms have emerged to meet the growing needs for intelligent energy-efficient systems. The Margin Propagation (MP) framework, being one such initiative in the analog computing domain, stands out due to its scalability across bia
Externí odkaz:
http://arxiv.org/abs/2410.22946
Autor:
Pamecha, Pinky, Shah, Chaitya, Jain, Divyam, Gandhi, Kashish, Bhowmick, Kiran, Narvekar, Meera
With the rapid growth of social media usage, a common trend has emerged where users often make sarcastic comments on posts. While sarcasm can sometimes be harmless, it can blur the line with cyberbullying, especially when used in negative or harmful
Externí odkaz:
http://arxiv.org/abs/2410.20170
Many uncontrollable disease outbreaks of the past exposed several vulnerabilities in the healthcare systems worldwide. While advancements in technology assisted in the rapid creation of the vaccinations, there needs to be a pressing focus on the prev
Externí odkaz:
http://arxiv.org/abs/2410.20168
Background: Full-field, quantitative visualization techniques, such as digital image correlation (DIC), have unlocked vast opportunities for experimental mechanics. However, DIC has traditionally been a surface measurement technique, and has not been
Externí odkaz:
http://arxiv.org/abs/2410.17493
Edge computing has emerged as an alternative to reduce transmission and processing delay and preserve privacy of the video streams. However, the ever-increasing complexity of Deep Neural Networks (DNNs) used in video-based applications (e.g. object d
Externí odkaz:
http://arxiv.org/abs/2410.11233
Autor:
Ramesh, Krithika, Gandhi, Nupoor, Madaan, Pulkit, Bauer, Lisa, Peris, Charith, Field, Anjalie
The difficulty of anonymizing text data hinders the development and deployment of NLP in high-stakes domains that involve private data, such as healthcare and social services. Poorly anonymized sensitive data cannot be easily shared with annotators o
Externí odkaz:
http://arxiv.org/abs/2410.08327
The chemical abundances of gas-giant exoplanet atmospheres hold clues to the formation and evolution pathways that sculpt the exoplanet population. Recent ground-based high-resolution spectroscopic observations of the non-transiting hot Jupiter $\tau
Externí odkaz:
http://arxiv.org/abs/2410.08178
Autor:
Boorman, Peter G., Gandhi, Poshak, Buchner, Johannes, Stern, Daniel, Ricci, Claudio, Baloković, Mislav, Asmus, Daniel, Harrison, Fiona A., Svoboda, Jiří, Greenwell, Claire, Koss, Michael, Alexander, David M., Annuar, Adlyka, Bauer, Franz, Brandt, William N., Brightman, Murray, Panessa, Francesca, Chen, Chien-Ting J., Farrah, Duncan, Forster, Karl, Grefenstette, Brian, Hönig, Sebastian F., Hill, Adam B., Kammoun, Elias, Lansbury, George, Lanz, Lauranne, LaMassa, Stephanie, Madsen, Kristin, Marchesi, Stefano, Middleton, Matthew, Mingo, Beatriz, Parker, Michael L., Treister, Ezequiel, Ueda, Yoshihiro, Urry, C. Megan, Zappacosta, Luca
Hard X-ray-selected samples of Active Galactic Nuclei (AGN) provide one of the cleanest views of supermassive black hole accretion, but are biased against objects obscured by Compton-thick gas column densities of $N_{\rm H}$ $>$ 10$^{24}$ cm$^{-2}$.
Externí odkaz:
http://arxiv.org/abs/2410.07339
Autor:
Gandhi, Kashish, Kulkarni, Prutha, Shah, Taran, Chaudhari, Piyush, Narvekar, Meera, Ghag, Kranti
The rapid advancement of deepfake technology poses a significant threat to digital media integrity. Deepfakes, synthetic media created using AI, can convincingly alter videos and audio to misrepresent reality. This creates risks of misinformation, fr
Externí odkaz:
http://arxiv.org/abs/2410.03487