Zobrazeno 1 - 10
of 41 877
pro vyhledávání: '"P A Goldberg"'
Autor:
Benhamou, Tom, Goldberg, Gabriel
We characterize sums of normal ultrafilters after the Magidor iteration of Prikry forcings over a discrete set of measurable cardinals. We apply this to show that the weak Ultrapower Axiom is not equivalent to the Ultrapower Axiom. We also construct
Externí odkaz:
http://arxiv.org/abs/2412.09683
Autor:
Weisz, Justin D., Kumar, Shraddha, Muller, Michael, Browne, Karen-Ellen, Goldberg, Arielle, Heintze, Ellice, Bajpai, Shagun
AI assistants are being created to help software engineers conduct a variety of coding-related tasks, such as writing, documenting, and testing code. We describe the use of the watsonx Code Assistant (WCA), an LLM-powered coding assistant deployed in
Externí odkaz:
http://arxiv.org/abs/2412.06603
In few-shot relation classification (FSRC), models must generalize to novel relations with only a few labeled examples. While much of the recent progress in NLP has focused on scaling data size, we argue that diversity in relation types is more cruci
Externí odkaz:
http://arxiv.org/abs/2412.05434
Autor:
Chen, Kaiyuan, Hari, Kush, Chung, Trinity, Wang, Michael, Tian, Nan, Juette, Christian, Ichnowski, Jeffrey, Ren, Liu, Kubiatowicz, John, Stoica, Ion, Goldberg, Ken
Cloud robotics enables robots to offload complex computational tasks to cloud servers for performance and ease of management. However, cloud compute can be costly, cloud services can suffer occasional downtime, and connectivity between the robot and
Externí odkaz:
http://arxiv.org/abs/2412.05408
Autor:
Ohana, Ruben, McCabe, Michael, Meyer, Lucas, Morel, Rudy, Agocs, Fruzsina J., Beneitez, Miguel, Berger, Marsha, Burkhart, Blakesley, Dalziel, Stuart B., Fielding, Drummond B., Fortunato, Daniel, Goldberg, Jared A., Hirashima, Keiya, Jiang, Yan-Fei, Kerswell, Rich R., Maddu, Suryanarayana, Miller, Jonah, Mukhopadhyay, Payel, Nixon, Stefan S., Shen, Jeff, Watteaux, Romain, Blancard, Bruno Régaldo-Saint, Rozet, François, Parker, Liam H., Cranmer, Miles, Ho, Shirley
Machine learning based surrogate models offer researchers powerful tools for accelerating simulation-based workflows. However, as standard datasets in this space often cover small classes of physical behavior, it can be difficult to evaluate the effi
Externí odkaz:
http://arxiv.org/abs/2412.00568
Autor:
Stoica, Ion, Zaharia, Matei, Gonzalez, Joseph, Goldberg, Ken, Zhang, Hao, Angelopoulos, Anastasios, Patil, Shishir G., Chen, Lingjiao, Chiang, Wei-Lin, Davis, Jared Q.
Despite the significant strides made by generative AI in just a few short years, its future progress is constrained by the challenge of building modular and robust systems. This capability has been a cornerstone of past technological revolutions, whi
Externí odkaz:
http://arxiv.org/abs/2412.05299
This paper describes the robot technology behind an original performance that pairs a human dancer (Cuan) with an industrial robot arm for an eight-hour dance that unfolds over the timespan of an American workday. To control the robot arm, we combine
Externí odkaz:
http://arxiv.org/abs/2411.12361
Autor:
Lu, Jing, Barker, Brandon L., Goldberg, Jared, Kerzendorf, Wolfgang E., Modjaz, Maryam, Couch, Sean M., Shields, Joshua V., Fullard, Andrew G.
Stripped-envelope supernovae (SESNe) represent a significant fraction of core-collapse supernovae, arising from massive stars that have shed their hydrogen and, in some cases, helium envelopes. The origins and explosion mechanisms of SESNe remain a t
Externí odkaz:
http://arxiv.org/abs/2411.11000
The crux of quantum optics is using beam splitters to generate entanglement, including in pioneering experiments conducted by Hanbury-Brown and Twiss and Hong, Ou, and Mandel. This lies at the heart of what makes boson sampling hard to emulate by cla
Externí odkaz:
http://arxiv.org/abs/2411.03423
Autor:
Tam, Zachary, Dharmarajan, Karthik, Qiu, Tianshuang, Avigal, Yahav, Ichnowski, Jeffrey, Goldberg, Ken
In logistics, the ability to quickly compute and execute pick-and-place motions from bins is critical to increasing productivity. We present Bin-Optimized Motion Planning (BOMP), a motion planning framework that plans arm motions for a six-axis indus
Externí odkaz:
http://arxiv.org/abs/2411.00221