Fortran Optimization for Accelerator Devices - Data-Centric Representation
Explore data-centric optimization techniques for Fortran code on accelerator devices, enhancing high-performance computing capabilities.
Keep-Alive Caching for the Hawkes Process - UAI 2023 Oral Session 4
Explore optimal caching policies for serverless computing, focusing on Hawkes processes. Learn to balance cache retention costs with miss costs and evaluate performance using simulations and Azure Functions data.
Towards Physically Reliable Molecular Representation Learning - UAI 2023 Oral Session 5
Explore innovative molecular representation learning for estimating energetic properties, combining physics-driven parameter estimation and self-supervised learning to enhance extrapolation beyond training data.
The Rise of Neural Priors
Explore neural priors as a solution to AI challenges, including data scarcity and bias. Learn about their applications in augmented reality, autonomous driving, and signal recovery.
Machines Behaving Badly: The Morality of AI
Explore ethical considerations and unexpected consequences of AI, including racism in AI assistants, robot rights, self-driving car accidents, and facial recognition limitations.
Cloud AI 100 High Performance Cloud-Edge Inferencing
Explore Qualcomm's Cloud AI 100 accelerator for high-performance cloud-edge inferencing, featuring leadership-class performance, power efficiency, and comprehensive software tools for production deployment.
SAT Net: Issues with Symbol Grounding - Part 2 of 3
Explore critiques of SAT Net, focusing on the symbol grounding problem in neurosymbolic reasoning. Gain insights from Paulo Shakarian's lecture on this advanced AI topic.
SAT Net: Resolving Symbol Grounding - Part 3
Explore symbol grounding in SAT Net through follow-on work, addressing key challenges in neurosymbolic reasoning and artificial general intelligence.
Introduction to NeuPSL - Part 1
Explore NeuPSL, a neurosymbolic framework combining probabilistic soft logic with deep learning for end-to-end training and logical constraint enforcement. Learn its fundamentals and applications in AI.
NeuPSL: Training and Inference - Part 2
Explore NeuPSL's training and inference processes, combining probabilistic soft logic with deep learning for end-to-end training and logical constraint enforcement in neurosymbolic AI.
NeurASP: Model Training - Part 2
Explore NeurASP's end-to-end training process, connecting ASP programs to neural architectures for gradient flow. Learn model training techniques in this neuro-symbolic framework.
Differentiable Inductive Logic Programming - Part 6: Q&A
Explore Q&A session on differentiable inductive logic programming, discussing key concepts and applications in neuro-symbolic AI with Prof. Paulo Shakarian.
SLASH Framework: Experiments - Part 3
Explore experiments in the SLASH framework for neuro-symbolic AI. Gain insights into cutting-edge research combining symbolic methods and deep learning.
Metacognition with EDCR: Error Detection and Correction in Neurosymbolic AI
Explore metacognition and EDCR, a neurosymbolic method for error detection in AI models. Learn about rule learning, intuitions, and applications in few-shot learning.
LangDiversity: Software to Identify LLM Errors - Diversity Measures and Prompt Selection
Explore LangDiversity software to identify LLM errors using diversity measures. Learn implementation, code examples, and prompt selection techniques for improving language model outputs.
Reinforcement Learning with PyReason as a Semantic Proxy
Explore PyReason as a semantic proxy for simulators in reinforcement learning, featuring a technical discussion on its application and recent research findings.
Decision Trees in Neuro-Symbolic AI
Master decision tree algorithms for effective data classification and prediction in machine learning applications.
Deep Ontological Networks: Introduction - Part 1
Explore Deep Ontological Networks with Prof. Simari, covering framework introduction, Semantic Web concepts, and ontology applications in AI and machine learning.
Reasoning Shortcuts in Neurosymbolic Systems
Explore reasoning shortcuts in neurosymbolic systems, their impact, and mitigation strategies for effective deployment. Gain insights from recent research papers.
Launching Jupyter and Submitting Homework in ME3255 - Lecture 1
Launch Jupyter and learn how to submit HW_01 in Google Classroom for ME3255, covering essential steps for successful assignment completion.
Using Jupyter and Submitting Your First Homework - ME5180
Learn to use Jupyter Notebooks and submit your first homework assignment in this practical guide for ME5180 students.