Search for tag: "input"

30 Media

02:51 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 46 plays Date May 4th, 2023 Speaker Vassiliki Mancoridis, UG '24 (2986906) Department Computer Science
03:02 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 50 plays Date May 4th, 2023 Speaker Haiyue Ma, GS Department Electrical and Computer Engineering
02:45 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 62 plays Date May 4th, 2023 Speaker Alkin Kaz, UG '23 Department Electrical Engineering
03:37 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 35 plays Date April 30th, 2023 Speaker Shikhar Tuli, GS Department Electrical and Computer Engineering
25:27 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 169 plays Date February 20th, 2023 Speaker Ameet Deshpande and Alexander Wettig Department Computer Science Location Lewis Science Library
34:20 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 237 plays
54:42 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 4 plays
50:22 DataX PPPL Workshop 5-2022_Smirnov DataX PPPL Workshop 5-2022_Smirnov	DataX PPPL Workshop 5-2022_Smirnov 3d geometry learning kind shape representations things boundary function surface patches points representation output network control input lot distance grid From Broadcast Broadcast Center Staff 0 likes 6 plays
03:47 ReMatch Intern - Jasmine Hao ReMatch Intern - Jasmine Hao	ReMatch Intern - Jasmine Hao children learning child words scaffolding caregiver animals condition caregivers input pretest animal inputs word question attention summer vocabularies kicker benefits From our Undergraduate Research 0 likes 24 plays Speaker Jasmine Hao Department Office of Undergraduate Research
03:26 OURSIP Intern- Icey Ai OURSIP Intern- Icey Ai	OURSIP Intern- Icey Ai model image network problem tool horses images dataset input parts transformations confidence percent fox users watermark decision cats brain models From our Undergraduate Research 0 likes 37 plays Speaker Ai Icey Department Office of Undergraduate Research
02:11 Now, or in Seven Years: An Analysis of Social and… Now, or in Seven Years: An Analysis of Social and Traditional Media Responses to the IPCC’s Sixth Assessment Report, Aaron Serianni, UG '25 (3958083)	Now, or in Seven Years: An Analysis of Social and Traditional Media Responses to the IPCC’s Sixth Assessment Report, Aaron Serianni, UG '25 (3958083) On April 4, 2022, Working Group III of the Intergovernmental Panel on Climate Change published their contribution to the Sixth Assessment Report, Climate Change 2022: Mitigation of Climate Change,… ipcc intergovernmental panel on climate change climate change climate policy social media twitter tweets clustering semantics sentiment algorithms climate change amount cluster analysis articles techniques policies media science pace cycle events trend findings input subsets From Research Princeton Research Day 3 likes 24 plays Date April 27th, 2022 Speaker Aaron Serianni Department Mathematics
02:58 Towards DESRED: A Diverse Explorable Super… Towards DESRED: A Diverse Explorable Super Resolution Evaluation Dataset, Phillip Taylor, UG '22 (3954081)	Towards DESRED: A Diverse Explorable Super Resolution Evaluation Dataset, Phillip Taylor, UG '22 (3954081) The task of explorable super resolution (ESR) reconstructs multiple possible high resolution (HR) image variants for a given single low resolution (LR) image. However, due to the novelty and… resolution image methods images evaluation problem input task method formulation contribution testing training types space creation desks lack ability sets From Research Princeton Research Day 0 likes 9 plays Date April 27th, 2022 Speaker Phillip Taylor Department Computer Science
03:00 Targeted system optimization using inverse… Targeted system optimization using inverse design, Prerit Terway, G4 (3958781)	Targeted system optimization using inverse design, Prerit Terway, G4 (3958781) Most systems have multiple objectives and constraints. For example, a company making a smartphone needs to increase the battery life, minimize the lag, and maximize the bandwidth. Solutions to these… artificial intelligence machine learning active learning optimization step objectives process specifications methods specification response input solution solutions object method listening importance request gpus repair systems nuisance From Research Princeton Research Day 0 likes 41 plays Date April 27th, 2022 Speaker Prerit Terway Department Electrical and Computer Engineering
01:52:46 Intro to Machine Learning, Part 3 of 4 Intro to Machine Learning, Part 3 of 4	Intro to Machine Learning, Part 3 of 4 Intro to Machine Learning, Part 3 of 4 picscie research computing clusters network examples things kind clustering image space points input lake distribution dataset model learning detection cluster distance machine autoencoder From Andrea Rubinstein 0 likes 8 plays Date January 21st, 2022 Speaker Savannah Thais Department PICSciE/Research Computing
02:55:09 Intro to Machine Learning, Part 2 of 4 Intro to Machine Learning, Part 2 of 4	Intro to Machine Learning, Part 2 of 4 Intro to Machine Learning, Part 2 of 4 picsc research computing network image things kind input model training text networks lot layer filter output filters features weights function learning bit representations From Andrea Rubinstein 0 likes 4 plays Date January 19th, 2022 Speaker Savannah Thais Department PICSciE/Research Computing
01:08:48 Climate Seminar Series: Observed and Simulated… Climate Seminar Series: Observed and Simulated Seasonal Halocline Formation in the Canada Basin: 1975 vs 2006-2012	Climate Seminar Series: Observed and Simulated Seasonal Halocline Formation in the Canada Basin: 1975 vs 2006-2012 Observed and Simulated Seasonal Halocline Formation in the Canada Basin: 1975 vs 2006-2012 Erica Rosenblum et al University of Manitoba, McGill University, Scripps Insitution of Oceanography,… climate science ice freshwater surface 2000s sea observations models mixing ocean question input csm sense change difference melt bit water lot stratification From Geosciences The Department of Geosciences, Princeton University 0 likes 7 plays Date May 10th, 2021 Speaker Erica Rosenblum, University of Manitoba Department Geosciences