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JPP06June2024_KHumbird duration 53 minutes 53 seconds JPP06June2024_KHumbird JPP06June2024_KHumbird	JPP06June2024_KHumbird ppplonly experiments simulations model experiment shot distribution input network yield simulation predictions question facility parameters uncertainties questions things laser performance From PPPL Admins 0 likes 17 plays
Repainting History: A Framework for… duration 3 minutes 7 seconds Repainting History: A Framework for… Repainting History: A Framework for Subject-Specific Image Generation in Historical Painting Styles, Addele Hargenrader, UG '24 (2B9D81E4)	Repainting History: A Framework for Subject-Specific Image Generation in Historical Painting Styles, Addele Hargenrader, UG '24 (2B9D81E4) In the cultural and creative industries, one demonstrated use case for AI is to engage art museum visitors through immersive and interactive exhibits. One such exhibit is the SMK Transformerbot at… model images museum image framework input resemblance painting individuals output control diffusion photographs style styles outputs face net features generate From Research Princeton Research Day 1 likes 90 plays Date May 3rd, 2024 Speaker Addele Hargenrader, UG '24 (2B9D81E4) Department Operations Research and Financial Engineering
Inverse Neural Rendering for Explainable… duration 3 minutes 0 seconds Inverse Neural Rendering for Explainable… Inverse Neural Rendering for Explainable Multi-Object Tracking, Tanushree Banerjee, UG '24 (611179F4)	Inverse Neural Rendering for Explainable Multi-Object Tracking, Tanushree Banerjee, UG '24 (611179F4) Today, most methods for image understanding tasks rely on feed-forward neural networks. While this approach has allowed for empirical accuracy, efficiency, and task adaptation via fine-tuning, it… prd24 object properties image graphics cars tracking approach prediction appearance shape pipeline driving model feed features input frames problem approaches computer From Research Princeton Research Day 5 likes 379 plays Date May 3rd, 2024 Speaker Tanushree Banerjee, UG '24 (611179F4) Department Computer Science
Integrated Analysis: Bridging Biomechanics with… duration 2 minutes 59 seconds Integrated Analysis: Bridging Biomechanics with… Integrated Analysis: Bridging Biomechanics with an Energy Framework for LaMSA Systems, Teagan Anoop Mathur, GS (0C99E039)	Integrated Analysis: Bridging Biomechanics with an Energy Framework for LaMSA Systems, Teagan Anoop Mathur, GS (0C99E039) Click beetles (Elateridae) are one of many small organisms that use a system of springs and latches to achieve incredible accelerations. This strategy is referred to as latch-mediated,… prd24 energy spring analysis actuator muscles mesonotum lambs beetle meters organisms speed techniques combination jump output storage input values laws conservation From Research Princeton Research Day 5 likes 36 plays Date May 3rd, 2024 Speaker Teagan Anoop Mathur, GS (0C99E039) Department Mechanical and Aerospace Engineering
WC20March2024_TSakurahara duration 1 hour 7 minutes WC20March2024_TSakurahara WC20March2024_TSakurahara	WC20March2024_TSakurahara risk uncertainty model maintenance reactors analysis simulation failure input fusion transition safety plant output process piping assessment power models framework ppplonly From PPPL Admins 0 likes 4 plays
PLI Symposium 11/28 Gautam Reddy duration 6 minutes 0 seconds PLI Symposium 11/28 Gautam Reddy PLI Symposium 11/28 Gautam Reddy	PLI Symposium 11/28 Gautam Reddy tasks context network label learning function sequence input task class networks models language regression point decision questions model transition head From Broadcast Broadcast Center Staff 0 likes 9 plays
PLI Symposium 11/28 Uri Hasson duration 6 minutes 6 seconds PLI Symposium 11/28 Uri Hasson PLI Symposium 11/28 Uri Hasson	PLI Symposium 11/28 Uri Hasson model baby nature models humans input learning piano coffee languages sequence bar lexicon words idea statistics lot machines hours cameras From Broadcast Broadcast Center Staff 0 likes 3 plays
OURSIP Intern - Caitlin Wang duration 3 minutes 14 seconds OURSIP Intern - Caitlin Wang OURSIP Intern - Caitlin Wang	OURSIP Intern - Caitlin Wang Modeling Predictive Process in the Brain with Variational Autoencoders (VAE) Advised by: Prof. Tim Buschman, Princeton Neuroscience InstituteSeth Akers-Campbell, Princeton Neuroscience Institute… vector image input point images auto network fixation architecture model decoder encoder eye encoders process brain sica eyes representations representation From our Undergraduate Research 0 likes 31 plays Date July 30th, 2023 Speaker Caitlin Wang Department Office of Undergraduate Research
OLTP18July2023_VBrueser duration 1 hour 9 minutes OLTP18July2023_VBrueser OLTP18July2023_VBrueser	OLTP18July2023_VBrueser ppplonly energy concentration reaction reactor oxygen plasma curve hydrogen splitting reduction gas range electrode point ozone water flow input ratio efficiency From PPPL Admins 0 likes 13 plays
A Physics-Informed Deep Learning Investigation of… duration 2 minutes 51 seconds A Physics-Informed Deep Learning Investigation of… A Physics-Informed Deep Learning Investigation of Wind-Wave Interactions, Vassiliki Mancoridis, UG '24 (2986906)	A Physics-Informed Deep Learning Investigation of Wind-Wave Interactions, Vassiliki Mancoridis, UG '24 (2986906) Turbulence modeling can shed light on the physics that occurs at the boundary between ocean waves and overhead wind, which is useful in the fields of oceanography, renewable energy, weather… wind waves learning models simulation modeling wave tuning hyperparameter loss hyperparameters knowledge nets network space input equations respect model techniques From Research Princeton Research Day 2 likes 98 plays Date May 4th, 2023 Speaker Vassiliki Mancoridis, UG '24 (2986906) Department Computer Science
Making Your Code Run Faster: Hardware… duration 3 minutes 2 seconds Making Your Code Run Faster: Hardware… Making Your Code Run Faster: Hardware Acceleration for Similar Input Data, Haiyue Ma, GS (2924007)	Making Your Code Run Faster: Hardware Acceleration for Similar Input Data, Haiyue Ma, GS (2924007) It is crucial to make computer programs run faster. Traditionally, the execution time for the same program stays the same regardless of the inputs. Based on the observation that programs tend to… prd23 princeton research day graduate research electrical and computer engineering design and engineering input values images computer inputs fact cache advantage presentation similarity lot axis shift computers application applications access thing harvard contexts From Research Princeton Research Day 0 likes 132 plays Date May 4th, 2023 Speaker Haiyue Ma, GS Department Electrical and Computer Engineering
Quantum Photonic Transformer (QPT), Alkin Kaz, UG… duration 2 minutes 45 seconds Quantum Photonic Transformer (QPT), Alkin Kaz, UG… Quantum Photonic Transformer (QPT), Alkin Kaz, UG '23 (2262501)	Quantum Photonic Transformer (QPT), Alkin Kaz, UG '23 (2262501) You might have wondered what underlying mechanism and models does the famous ChatGPT, the Artificial Intelligence (AI) chat assistant employs. The T of the GPT, that is the Generative Pre-trained… prd23 princeton research day undergraduate research rockefeller college rocky college electrical engineering chatgpt ai artificial intelligence data science quantum science attention model circuitry input function tokens mechanism transformer opt speed photonic softmax vectors query multiplications matrix sentence circuits future multiplication From Research Princeton Research Day 2 likes 115 plays Date May 4th, 2023 Speaker Alkin Kaz, UG '23 Department Electrical Engineering
Accelerating Design Space Exploration with… duration 3 minutes 37 seconds Accelerating Design Space Exploration with… Accelerating Design Space Exploration with Differentiable Surrogate Models, Shikhar Tuli, GS (2278304)	Accelerating Design Space Exploration with Differentiable Surrogate Models, Shikhar Tuli, GS (2278304) Researchers constantly strive to explore large and complex search spaces in various scientific studies and physical experiments. These could include searching the exponentially large set of… graduate research electrical and computer engineering active learning neural networks surrogate modeling ai artificial intelligence quantum science prd23 princeton research day quantum computing input performance model characteristics output experiments models space box device circuits instance computers quantum magnitude orders hardware backpropagation optimization network From Research Princeton Research Day 3 likes 39 plays Date April 30th, 2023 Speaker Shikhar Tuli, GS Department Electrical and Computer Engineering
How Does ChatGPT Work? An Overview of Large… duration 25 minutes 27 seconds How Does ChatGPT Work? An Overview of Large… How Does ChatGPT Work? An Overview of Large Language Models (Part 2 of 3)	How Does ChatGPT Work? An Overview of Large Language Models (Part 2 of 3) Speakers: Ameet Deshpande and Alexander Wettig, Computer Science Department, Princeton University This presentation gives an overview of the key technologies behind ChatGPT with a discussion of… natural language processing chatgpt neural networks model answer task question word gpt output language things lot input humans completion reasoning reward demonstrations problem context knowledge completions From jdh4 Halverson 0 likes 412 plays Date February 20th, 2023 Speaker Ameet Deshpande and Alexander Wettig Department Computer Science Location Lewis Science Library
How Does ChatGPT Work? An Overview of Large… duration 34 minutes 20 seconds How Does ChatGPT Work? An Overview of Large… How Does ChatGPT Work? An Overview of Large Language Models (Part 1 of 3)	How Does ChatGPT Work? An Overview of Large Language Models (Part 1 of 3) Speakers: Ameet Deshpande and Alexander Wettig, Computer Science Department, Princeton University This presentation gives an overview of the key technologies behind ChatGPT with a discussion of… model models tokens words probability texts parameters text sort lot embeddings word kind attention language embedding layers space input vector From jdh4 Halverson 1 likes 516 plays
DataX PPPL Workshop 5-2022_Adebayo duration 54 minutes 42 seconds DataX PPPL Workshop 5-2022_Adebayo DataX PPPL Workshop 5-2022_Adebayo	DataX PPPL Workshop 5-2022_Adebayo model input methods prediction explanation kind question image approaches task point method sort training models kinds network lot interpretability questions From Broadcast Broadcast Center Staff 0 likes 7 plays