Buchumschlag

Sparks of Artificial General Intelligence(AGI) in Semiconductor Material Science: Early Explorations into the Next Frontier of Generative AI-Assisted Electron Micrograph Analysis

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Srinivas, Sakhinana Sagar, Sannidhi, Geethan, Gangasani, Sreeja, Ravuru, Chidaksh, Runkana, Venkataramana
Format:	Preprint
Veröffentlicht:	2024
Schlagworte:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Preliminary Investigations of a Multi-Faceted Robust and Synergistic Approach in Semiconductor Electron Micrograph Analysis: Integrating Vision Transformers with Large Language and Multimodal Models
von: Srinivas, Sakhinana Sagar, et al.
Veröffentlicht: (2024)

Parameter-Efficient Quantized Mixture-of-Experts Meets Vision-Language Instruction Tuning for Semiconductor Electron Micrograph Analysis
von: Srinivas, Sakhinana Sagar, et al.
Veröffentlicht: (2024)

Foundational Model for Electron Micrograph Analysis: Instruction-Tuning Small-Scale Language-and-Vision Assistant for Enterprise Adoption
von: Srinivas, Sakhinana Sagar, et al.
Veröffentlicht: (2024)

Multi-Modal Instruction-Tuning Small-Scale Language-and-Vision Assistant for Semiconductor Electron Micrograph Analysis
von: Srinivas, Sakhinana Sagar, et al.
Veröffentlicht: (2024)

Reprogramming Foundational Large Language Models(LLMs) for Enterprise Adoption for Spatio-Temporal Forecasting Applications: Unveiling a New Era in Copilot-Guided Cross-Modal Time Series Representation Learning
von: Srinivas, Sakhinana Sagar, et al.
Veröffentlicht: (2024)

Advancing Enterprise Spatio-Temporal Forecasting Applications: Data Mining Meets Instruction Tuning of Language Models For Multi-modal Time Series Analysis in Low-Resource Settings
von: Sakhinana, Sagar Srinivas, et al.
Veröffentlicht: (2024)

Hierarchical Network Fusion for Multi-Modal Electron Micrograph Representation Learning with Foundational Large Language Models
von: Srinivas, Sakhinana Sagar, et al.
Veröffentlicht: (2024)

Agentic Retrieval-Augmented Generation for Time Series Analysis
von: Ravuru, Chidaksh, et al.
Veröffentlicht: (2024)

Vision HgNN: An Electron-Micrograph is Worth Hypergraph of Hypernodes
von: Srinivas, Sakhinana Sagar, et al.
Veröffentlicht: (2024)

Retrieval-Augmented Generation Meets Data-Driven Tabula Rasa Approach for Temporal Knowledge Graph Forecasting
von: Sannidhi, Geethan, et al.
Veröffentlicht: (2024)

Retrieval-Augmented Instruction Tuning for Automated Process Engineering Calculations : A Tool-Chaining Problem-Solving Framework with Attributable Reflection
von: Sakhinana, Sagar Srinivas, et al.
Veröffentlicht: (2024)

Towards Human-Level Understanding of Complex Process Engineering Schematics: A Pedagogical, Introspective Multi-Agent Framework for Open-Domain Question Answering
von: Sakhinana, Sagar Srinivas, et al.
Veröffentlicht: (2024)

EMCNet : Graph-Nets for Electron Micrographs Classification
von: Srinivas, Sakhinana Sagar, et al.
Veröffentlicht: (2024)

Crossing New Frontiers: Knowledge-Augmented Large Language Model Prompting for Zero-Shot Text-Based De Novo Molecule Design
von: Srinivas, Sakhinana Sagar, et al.
Veröffentlicht: (2024)

Cross-Modal Learning for Chemistry Property Prediction: Large Language Models Meet Graph Machine Learning
von: Srinivas, Sakhinana Sagar, et al.
Veröffentlicht: (2024)

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up
von: Srinivas, Sakhinana Sagar, et al.
Veröffentlicht: (2025)

Scaling Test-Time Inference with Policy-Optimized, Dynamic Retrieval-Augmented Generation via KV Caching and Decoding
von: Srinivas, Sakhinana Sagar, et al.
Veröffentlicht: (2025)

Knowledge Graph Modeling-Driven Large Language Model Operating System (LLM OS) for Task Automation in Process Engineering Problem-Solving
von: Srinivas, Sakhinana Sagar, et al.
Veröffentlicht: (2024)

Hypergraph Learning based Recommender System for Anomaly Detection, Control and Optimization
von: Srinivas, Sakhinana Sagar, et al.
Veröffentlicht: (2024)

Towards Automated Patent Workflows: AI-Orchestrated Multi-Agent Framework for Intellectual Property Management and Analysis
von: Srinivas, Sakhinana Sagar, et al.
Veröffentlicht: (2024)

Battery GraphNets : Relational Learning for Lithium-ion Batteries(LiBs) Life Estimation
von: Srinivas, Sakhinana Sagar, et al.
Veröffentlicht: (2024)

Commentary Generation for Soccer Highlights
von: Ravuru, Chidaksh
Veröffentlicht: (2025)

Accelerating Manufacturing Scale-Up from Material Discovery Using Agentic Web Navigation and Retrieval-Augmented AI for Process Engineering Schematics Design
von: Srinivas, Sakhinana Sagar, et al.
Veröffentlicht: (2024)

Agentic Multimodal AI for Hyperpersonalized B2B and B2C Advertising in Competitive Markets: An AI-Driven Competitive Advertising Framework
von: Srinivas, Sakhinana Sagar, et al.
Veröffentlicht: (2025)

Multi-Source Knowledge-Based Hybrid Neural Framework for Time Series Representation Learning
von: Sakhinana, Sagar Srinivas, et al.
Veröffentlicht: (2024)

Joint Hypergraph Rewiring and Memory-Augmented Forecasting Techniques in Digital Twin Technology
von: Sakhinana, Sagar Srinivas, et al.
Veröffentlicht: (2024)

Multi-Knowledge Fusion Network for Time Series Representation Learning
von: Sakhinana, Sagar Srinivas, et al.
Veröffentlicht: (2024)

PointSAGE: Mesh-independent superresolution approach to fluid flow predictions
von: Sarkar, Rajat, et al.
Veröffentlicht: (2024)

AGI: Artificial General Intelligence for Education
von: Latif, Ehsan, et al.
Veröffentlicht: (2023)

Can LLMs Understand What We Cannot Say? Measuring Multilevel Alignment Through Abortion Stigma Across Cognitive, Interpersonal, and Structural Levels
von: Sharma, Anika, et al.
Veröffentlicht: (2025)

Resolution Enhancement of Scanning Electron Micrographs using Artificial Intelligence
von: Reclik, Tom, et al.
Veröffentlicht: (2024)

Multi Objective Design Optimization of Non Pneumatic Passenger Car Tires Using Finite Element Modeling, Machine Learning, and Particle swarm Optimization and Bayesian Optimization Algorithms
von: Dhrangdhariya, Priyankkumar, et al.
Veröffentlicht: (2026)

Two-level Solar Irradiance Clustering with Season Identification: A Comparative Analysis
von: Agrawal, Roshni, et al.
Veröffentlicht: (2025)

What is Meant by AGI? On the Definition of Artificial General Intelligence
von: Xu, Bowen
Veröffentlicht: (2024)

Artificial General Intelligence (AGI) for the oil and gas industry: a review
von: Li, Jimmy Xuekai, et al.
Veröffentlicht: (2024)

Thought-For-Food: Reasoning Chain Induced Food Visual Question Answering
von: Jain, Riddhi, et al.
Veröffentlicht: (2025)

Electrospun Mesoporous Ni0.5Zn0.5Fe2O4 ‐ CNT ‐ Hollow Carbon Ternary Composite Nanofibers as High Performance Electrodes for Advanced Symmetric Supercapacitors
von: Venkata Sudheendra Budhiraju, et al.
Veröffentlicht: (2024)

Personalized Artificial General Intelligence (AGI) via Neuroscience-Inspired Continuous Learning Systems
von: Gupta, Rajeev, et al.
Veröffentlicht: (2025)

ARC-AGI-3: A New Challenge for Frontier Agentic Intelligence
von: Foundation, ARC Prize
Veröffentlicht: (2026)

The I-Ching AGI Thesis: Pattern Consciousness as a New Paradigm for Artificial General Intelligence
von: Kruger, Mark
Veröffentlicht: (2025)