Results 211 to 220 of about 10,293 (262)

GnRH34: An alternative for increasing pregnancy in timed AI beef cows

Theriogenology, 2022
Two experiments evaluated the effects of gonadotropin releasing hormone (GnRH) treatment on fertility of suckled Nelore beef cows treated with an estradiol/progesterone (P4)-based protocol for timed artificial insemination (TAI). Experiment 1 was designed to determine the effect of GnRH administered 34 h after P4 insert removal (GnRH34) on time of ...
Ingrid P. Barbosa, Jamyle P. Cestaro, Samira A. Silva, Gabrielly S. Noleto, Reuel L. Gonçalves, George M. Silva, Felipe H. Paes, Bernardo G. Gasperin, Monique T. Rovani, Luiz F.M. Pfeifer   +9 more
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A Real Time Ai Approach To Discrimination

SPIE Proceedings, 1989
The engagment of penaided, nuclear armed Ballistic Missile Re-entry Vehicles (RVs) by a Theatre Missile Defence (TMD) system requires the use of a robust and adaptive discriminsation system to identify warheads from accompanying decoys and other penetration aids.
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Insemination factors related to timed AI in cattle

Theriogenology, 2008
Six-day-old bovine ova/embryos were recovered non-surgically and used as biomonitors to evaluate time of artificial insemination. These embryos/ova provided information regarding fertilization status and embryo quality, as well as quantitative and qualitative data regarding associated accessory sperm.
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Estrous detection and timed AI protocols

American Association of Bovine Practitioners Conference Proceedings, 2012
The goal of this brief review is to evaluate whether reproductive programs for lactating dairy cows may be solely dependent on timed AI protocols or AI on detected estrus. A few examples of dairies that have attempted to eliminate one or the other will be given, but I caution that some of these examples are merely data extracted from on farm software ...
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Real-time AI for Enterprise Workloads: the IBM Telum Processor

2021 IEEE Hot Chips 33 Symposium (HCS), 2021
Next generation Z processor is optimized to run enterprise workloads with embedded real time AI insights.
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Applicability of GPGPU Computing to Real-Time AI Solutions in Games

IEEE Transactions on Computational Intelligence and AI in Games, 2013
This paper reviews developments in general purpose computing on graphics processor units (GPGPU computing) from the perspective of video-game-related artificial intelligence (AI). We present an overview of the field, beginning with early shader language solutions and continuing to discuss three accessible platforms for GPGPU development: CUDA, OpenCL ...
William Blewitt, Gary Ushaw, Graham Morgan   +2 more
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Top-Down Design of Embedded Real-Time AI Systems

IFAC Proceedings Volumes, 1992
Abstract A formal method is proposed for the specification and verification of embedded real-time systems. We consider distributed systems in which parallel processes communicate by sending messages along synchronous or asynchronous channels. To verify that a program satisfies a specification, a compositional proof system is given.
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The cow as an induced ovulator: Timed AI after synchronization of ovulation

Theriogenology, 2014
Timed-AI after synchronization of ovulation has become one of the most used reproductive technologies developed during the past 40 years. Various adaptations of this technology are now extensively used worldwide, in the beef and dairy cattle industry.
Milo C, Wiltbank, J Richard, Pursley
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A Configurable Cloud-Scale DNN Processor for Real-Time AI

2018 ACM/IEEE 45th Annual International Symposium on Computer Architecture (ISCA), 2018
Interactive AI-powered services require low-latency evaluation of deep neural network (DNN) models—aka ""real-time AI"". The growing demand for computationally expensive, state-of-the-art DNNs, coupled with diminishing performance gains of general-purpose architectures, has fueled an explosion of specialized Neural Processing Units (NPUs).
Jeremy Fowers, Kalin Ovtcharov, Michael Papamichael, Todd Massengill, Ming Liu, Daniel Lo, Shlomi Alkalay, Michael Haselman, Logan Adams, Mahdi Ghandi, Stephen Heil, Prerak Patel, Adam Sapek, Gabriel Weisz, Lisa Woods, Sitaram Lanka, Steven K. Reinhardt, Adrian M. Caulfield, Eric S. Chung, Doug Burger   +19 more
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REAL-TIME AI FEEDBACK FOR DANCE STUDENTS

ShodhKosh: Journal of Visual and Performing Arts
n this study, the authors provide an investigation of how an AI based real-time feedback system can assist dance students to improve the effectiveness of training, precision and student learning outcomes. The system combines computer vision, pose estimation and machine learning algorithms to process motion data obtained by a video or a motion sensor ...
Suraj Bhan, Akhilesh Kumar Khan, Shruthi K Bekal, Pavas Saini, Abhishek Singla, Kajal Thakuriya, Dipali Kapil Mundada   +6 more
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