214 citations · 230 across the 8 of their papers we have counts for
8 papers
How GPT learns layer by layer
Jason Du, Kelly Hong, Alishba Imran +3
Large Language Models (LLMs) excel at tasks like language processing, strategy games, and reasoning but struggle to build generalizable internal representations essential for adapt…
Reflections from the 2024 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry
Yoel Zimmermann, Adib Bazgir, Zartashia Afzal +141
Here, we present the outcomes from the second Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry, which engaged participants across global hyb…
DynaCLR: Contrastive Learning of Cellular Dynamics with Temporal Regularization
Eduardo Hirata-Miyasaki, Soorya Pradeep, Ziwen Liu +10
We report DynaCLR, a self-supervised method for embedding cell and organelle Dynamics via Contrastive Learning of Representations of time-lapse images. DynaCLR integrates single-ce…
14 Examples of How LLMs Can Transform Materials Science and Chemistry: A Reflection on a Large Language Model Hackathon
Kevin Maik Jablonka, Qianxiang Ai, Alexander Al-Feghali +50
Large-language models (LLMs) such as GPT-4 caught the interest of many scientists. Recent studies suggested that these models could be useful in chemistry and materials science. To…
Semantic Mechanical Search with Large Vision and Language Models
Satvik Sharma, Huang Huang, Kaushik Shivakumar +4
Moving objects to find a fully-occluded target object, known as mechanical search, is a challenging problem in robotics. As objects are often organized semantically, we conjecture…
Open Arms: Open-Source Arms, Hands & Control
David Hanson, Alishba Imran, Gerardo Morales +5
Open Arms is a novel open-source platform of realistic human-like robotic hands and arms hardware with 28 Degree-of-Freedom (DoF), designed to extend the capabilities and accessibi…
Design of an Affordable Prosthetic Arm Equipped with Deep Learning Vision-Based Manipulation
Alishba Imran, William Escobar, Freidoon Barez
Many amputees throughout the world are left with limited options to personally own a prosthetic arm due to the expensive cost, mechanical system complexity, and lack of availabilit…
A Neuro-Symbolic Humanlike Arm Controller for Sophia the Robot
David Hanson, Alishba Imran, Abhinandan Vellanki +1
We outline the design and construction of novel robotic arms using machine perception, convolutional neural networks, and symbolic AI for logical control and affordance indexing. W…