Best AI tools for< Materials Engineer >

Mobility Engineering is a website that provides news, articles, and resources on the latest developments in mobility technology. The site covers a wide range of topics, including autonomous vehicles, connected cars, electric vehicles, and more. Mobility Engineering is a valuable resource for anyone interested in staying up-to-date on the latest trends in mobility technology.

Osium AI is a cutting-edge AI-powered software designed to accelerate the development of sustainable and high-performance materials and chemicals. The platform leverages proprietary technology developed by experts with 10 years of experience in AI and authors of multiple AI patents. Osium AI offers a comprehensive solution that covers every step of materials and chemicals development cycles, from formulation and characterization to scale-up and manufacturing. The software is flexible, adaptable to various R&D projects, and eliminates trial-and-error approaches, unlocking the full potential of R&D with its advanced functionalities.

Materiom is an AI-powered platform that supports the development of next-generation materials made from 100% biobased sources. It provides an open-access database of biomaterials recipes, facilitates collaboration among scientists, producers, and brands, and offers a genAI-powered tool to identify high-performing material alternatives quickly. The platform aims to create a materials economy that regenerates nature and promotes human health.

The Library Innovation Lab at Harvard University is an AI tool that focuses on bringing library principles to technological frontiers. It is a forward-looking group working at the intersection of libraries, technology, and law. The lab aims to democratize open knowledge and explore the use of generative AIs in information access and law. They offer various projects like Caselaw Access Project, H2O, The Nuremberg Project, Perma.cc, Alterspace, and Time Capsule Encryption to achieve their goals.

C&EN, a publication of the American Chemical Society, provides the latest news and insights on the chemical industry, including research, technology, business, and policy. It covers a wide range of topics, including analytical chemistry, biological chemistry, business, careers, education, energy, environment, food, materials, people, pharmaceuticals, physical chemistry, policy, research integrity, safety, and synthesis.

interviewprep.AI is an AI-powered dashboard designed to enhance interview preparation by providing personalized coaching. The platform aims to boost job prospects by offering AI-enhanced guidance to users. By utilizing interviewprep.AI, individuals can experience improved organization, confidence in their answers, and an increased likelihood of receiving final job offers. The tool is tailored to refine interview skills and help users excel in their job search.

AMP Smart Sortation™ is waste sortation's permanent solution. As the leader in AI-powered sortation, we give waste and recycling leaders the power to reduce labor costs, increase resource recovery, and deliver more reliable operations. AMP's AI-powered automation allows real-time material characterization and configuration to capture the most value from any material stream.

The Institute for Protein Design is a research institute at the University of Washington that uses computational design to create new proteins that solve modern challenges in medicine, technology, and sustainability. The institute's research focuses on developing new protein therapeutics, vaccines, drug delivery systems, biological devices, self-assembling nanomaterials, and bioactive peptides. The institute also has a strong commitment to responsible AI development and has developed a set of principles to guide its use of AI in research.

AMP Smart Sortation™ is the waste sortation industry's permanent solution. As the leader in AI-powered sortation, AMP gives waste and recycling leaders the power to reduce labor costs, increase resource recovery, and deliver more reliable operations. AMP's AI-powered automation allows real-time material characterization and configuration to capture the most value from any material stream.

DocuDo is an AI assistant for tech writers that helps you write support documentation 10x faster. With DocuDo, you can record a screencast of your product, and DocuDo will automatically generate the corresponding support article. DocuDo uses LLM, such as ChatGPT, to prepare content and screenshots, so you can be sure that your documentation is accurate and up-to-date.

Unless is a conversational AI platform that helps organizations unlock their knowledge and provide better customer support. With Unless, you can train an AI model with your own knowledge base, documents, or website, and then let your customers or team engage in conversations with the AI through various channels. Unless is designed to be easy to use, even for non-technical staff, and it offers a variety of features to help you get the most out of your AI model.

Byterat is a cloud-based platform that provides battery data management, visualization, and analytics. It offers an end-to-end data pipeline that automatically synchronizes, processes, and visualizes materials, manufacturing, and test data from all labs. Byterat also provides 24/7 access to experiments from anywhere in the world and integrates seamlessly with current workflows. It is customizable to specific cell chemistries and allows users to build custom visualizations, dashboards, and analyses. Byterat's AI-powered battery research has been published in leading journals, and its team has pioneered a new class of models that extract tell-tale signals of battery health from electrical signals to forecast future performance.

The Microsoft Tech Community is an online forum where users can connect with experts and peers to find answers, ask questions, build skills, and accelerate their digital transformation with the Microsoft Cloud. It offers a variety of resources, including discussions, blogs, events, and learning materials, on a wide range of topics related to Microsoft products and technologies.

Jobscan is a comprehensive job search tool that helps job seekers optimize their resumes, cover letters, and LinkedIn profiles to increase their chances of getting interviews. It uses artificial intelligence and machine learning technology to analyze job descriptions and identify the skills and keywords that recruiters are looking for. Jobscan then provides personalized suggestions on how to tailor your application materials to each specific job you apply for. In addition to its resume and cover letter optimization tools, Jobscan also offers a job tracker, a LinkedIn optimization tool, and a career change tool. With its powerful suite of features, Jobscan is an essential tool for any job seeker who wants to land their dream job.

BISA AI Academy is an AI education platform offering online and offline courses with a variety of materials, professional instructors, and engaging learning paths. The platform provides over 100 free courses with certificates upon completion of quizzes and assignments. Additionally, there are premium master classes available, job training programs, and corporate training options. BISA AI Academy covers fields such as Data Science, IoT, Blockchain, and Programming, offering offline classes, special programs like Prakerja, webinars, and certification programs. The platform also provides solutions for IT services, AI intelligence, system development, and educational consulting.

Resso.ai is an AI-powered career tool that offers a comprehensive suite of services to assist individuals in various aspects of their job search and career development. The platform provides tools for resume creation, cover letter writing, interview preparation, LinkedIn profile optimization, and job interview simulations. By leveraging artificial intelligence, Resso.ai aims to help users enhance their job application materials, improve interview performance, and increase their chances of securing employment opportunities.

LastApply is an AI-powered job application organizer designed to streamline the job application process. Users can sign up, upload their resume, add job application links, and receive tailored resumes and cover letters generated by AI technology. The platform offers both free and premium plans with features such as job application tracking, AI cover letter generation, resume tailoring, job market insights, and customer support. LastApply aims to help job seekers enhance their application materials and increase their chances of securing job opportunities.

Reality AI Software is an Edge AI software development environment that combines advanced signal processing, machine learning, and anomaly detection on every MCU/MPU Renesas core. The software is underpinned by the proprietary Reality AI ML algorithm that delivers accurate and fully explainable results supporting diverse applications. It enables features like equipment monitoring, predictive maintenance, and sensing user behavior and the surrounding environment with minimal impact on the Bill of Materials (BoM). Reality AI software running on Renesas processors helps deliver endpoint intelligence in products across various markets.

Endor Labs is an AI-powered software supply chain security solution that helps organizations manage their software bills of materials (SBOM), secure their open source dependencies, optimize CI/CD pipeline security, and enhance application security with secret detection. The platform offers advanced features such as AI-assisted OSS selection, compliance management, reachability-based SCA, and repository security posture management. Endor Labs aims to streamline security processes, reduce false positives, and provide actionable insights to improve software supply chain security.

Greyparrot provides AI-powered waste analytics solutions for recycling facilities and packaging companies. Their AI waste analytics platform, Greyparrot Analyzer, uses cameras to track materials passing on conveyor belts and translates images into real-time insights on a live dashboard. Greyparrot Sync connects that live data stream to existing or new hardware and software. Greyparrot's AI identifies all of the waste objects found in global municipal recovery sites, with 67 waste categories and counting. Their AI waste analytics enable automation in sorting facilities and increase transparency at each stage of the global value chain.

LangSim is a tool developed to address the challenge of using simulation tools in computational chemistry and materials science, which typically require cryptic input files or programming experience. The tool provides a Large Language Model (LLM) extension with agents to couple the LLM to scientific simulation codes and calculate physical properties from a natural language interface. It aims to simplify the process of interacting with simulation tools by enabling users to query the large language model directly from a Python environment or a web-based interface.

KG-LLM-Papers is a repository that collects papers integrating knowledge graphs (KGs) and large language models (LLMs). It serves as a comprehensive resource for research on the role of KGs in the era of LLMs, covering surveys, methods, and resources related to this integration.

AIMNet2 Calculator is a package that integrates the AIMNet2 neural network potential into simulation workflows, providing fast and reliable energy, force, and property calculations for molecules with diverse elements. It excels at modeling various systems, offers flexible interfaces for popular simulation packages, and supports long-range interactions using DSF or Ewald summation Coulomb models. The tool is designed for accurate and versatile molecular simulations, suitable for large molecules and periodic calculations.

This repository contains course materials for T81 559: Applications of Generative Artificial Intelligence at Washington University in St. Louis. The course covers practical applications of Large Language Models (LLMs) and text-to-image networks using Python. Students learn about generative AI principles, LangChain, Retrieval-Augmented Generation (RAG) model, image generation techniques, fine-tuning neural networks, and prompt engineering. Ideal for students, researchers, and professionals in computer science, the course offers a transformative learning experience in the realm of Generative AI.

TwoSetAI YouTube Channel Materials is a repository containing code materials and tutorials for the videos of the TwoSetAI channel. The team behind TwoSetAI aims to make AI accessible to everyone by covering various AI-related topics, including AI products, latest trends, in-depth engineering insights, career advice for AI enthusiasts, and the entrepreneurial side of AI. The team consists of Angelina, VP of AI and Data, and Mehdi, Professor of Computer Science, who are both published authors and have significant experience in the AI field. TwoSetAI has won the Anthropic AI Developer Contest 2024 and is dedicated to ending AI FOMO for its audience.

A repository providing basic concepts, technical challenges, and resources on data engineering in Spanish. It is a curated list of free, Spanish-language materials found on the internet to facilitate the study of data engineering enthusiasts. The repository covers programming fundamentals, programming languages like Python, version control with Git, database fundamentals, SQL, design concepts, Big Data, analytics, cloud computing, data processing, and job search tips in the IT field.

Data Engineering Zoomcamp is a comprehensive course covering various aspects of data engineering, including data ingestion, workflow orchestration, data warehouse, analytics engineering, batch processing, and stream processing. The course provides hands-on experience with tools like Python, Rust, Terraform, Airflow, BigQuery, dbt, PySpark, Kafka, and more. Students will learn how to work with different data technologies to build scalable and efficient data pipelines for analytics and processing. The course is designed for individuals looking to enhance their data engineering skills and gain practical experience in working with big data technologies.

LLM_Notebooks is a repository supporting The Machine Learning Engineer YouTube channel. It contains materials related to various topics such as Generative AI, MLOps, ML projects, Azure Projects, Google VertexAi, ML Tricks, and more. The repository includes notebooks and code in Python and C#, with a focus on Python. The videos on the channel cover a wide range of topics in English and Spanish, organized into playlists based on general themes. The repository links are provided in the video descriptions for easy access. The creator uploads videos regularly and encourages viewers to subscribe, like, and leave constructive comments. The repository serves as a valuable resource for learning and exploring machine learning concepts and tools.

This repository is part of the Certified Cloud Native Applied Generative AI Engineer program, focusing on the fundamentals of Prompt Engineering, Docker, GitHub, and Modern Python Programming. It covers the basics of GenAI, Linux, Docker, VSCode, Devcontainer, and GitHub. The main emphasis is on mastering Modern Python with Typing, using ChatGPT as a Personal Python Coding Mentor. The course material includes tools installation, study materials, and projects related to Python development in Docker containers and GitHub usage.

The Prompt Engineering Holy Grail repository is a curated resource for prompt engineering enthusiasts, providing essential resources, tools, templates, and best practices to support learning and working in prompt engineering. It covers a wide range of topics related to prompt engineering, from beginner fundamentals to advanced techniques, and includes sections on learning resources, online courses, books, prompt generation tools, prompt management platforms, prompt testing and experimentation, prompt crafting libraries, prompt libraries and datasets, prompt engineering communities, freelance and job opportunities, contributing guidelines, code of conduct, support for the project, and contact information.

The Google Cloud Applied AI Engineering repository provides reference guides, blueprints, code samples, and hands-on labs developed by the Google Cloud Applied AI Engineering team. It contains resources for Generative AI on Vertex AI, including code samples and hands-on labs demonstrating the use of Generative AI models and tools in Vertex AI. Additionally, it offers reference guides and blueprints that compile best practices and prescriptive guidance for running large-scale AI/ML workloads on Google Cloud AI/ML infrastructure.

Notes on AI state of the art, with a focus on generative and large language models. These are the "raw materials" for the https://lspace.swyx.io/ newsletter. This repo used to be called https://github.com/sw-yx/prompt-eng, but was renamed because Prompt Engineering is Overhyped. This is now an AI Engineering notes repo.

This repository contains course materials for the 'Introduction to Machine Learning' course at Sharif University of Technology. It includes slides, Jupyter notebooks, and exercises for the Fall 2024 semester. The content is continuously updated throughout the semester. Previous semester materials are also accessible. Visit www.SharifML.ir for class videos and additional information.

This repository provides resources and materials for learning fundamental mathematical concepts essential for artificial intelligence, including linear algebra, calculus, and LaTeX. It includes lecture notes, video playlists, books, and practical sessions to help users grasp key concepts. The repository aims to equip individuals with the necessary mathematical foundation to excel in machine learning and AI-related fields.

Awesome-LLM-Interpretability is a curated list of materials related to LLM (Large Language Models) interpretability, covering tutorials, code libraries, surveys, videos, papers, and blogs. It includes resources on transformer mechanistic interpretability, visualization, interventions, probing, fine-tuning, feature representation, learning dynamics, knowledge editing, hallucination detection, and redundancy analysis. The repository aims to provide a comprehensive overview of tools, techniques, and methods for understanding and interpreting the inner workings of large language models.

awesome-AIOps is a curated list of academic researches and industrial materials related to Artificial Intelligence for IT Operations (AIOps). It includes resources such as competitions, white papers, blogs, tutorials, benchmarks, tools, companies, academic materials, talks, workshops, papers, and courses covering various aspects of AIOps like anomaly detection, root cause analysis, incident management, microservices, dependency tracing, and more.

The 'vector-search-class-notes' repository contains class materials for a course on Long Term Memory in AI, focusing on vector search and databases. The course covers theoretical foundations and practical implementation of vector search applications, algorithms, and systems. It explores the intersection of Artificial Intelligence and Database Management Systems, with topics including text embeddings, image embeddings, low dimensional vector search, dimensionality reduction, approximate nearest neighbor search, clustering, quantization, and graph-based indexes. The repository also includes information on the course syllabus, project details, selected literature, and contributions from industry experts in the field.

PartCAD is a tool for documenting manufacturable physical products, providing tools to maintain product information and streamline workflows at all product lifecycle phases. It is a next-generation CAD tool that focuses on specifying manufacturable physical products using computer-aided design in a more generic sense, including the use of AI models. PartCAD offers modular and reusable packages for product information, generating outputs like product documentation, bill of materials, sourcing information, and manufacturing process specifications. It integrates with third-party tools for iterative improvements, design validation, and manufacturing processes verification. PartCAD also offers supplementary products like a CRM and inventory tool for managing part manufacturing and assembly shops. By enabling easy switching between third-party tools, PartCAD creates a competitive environment for service providers and ensures data sovereignty for users.

This repository serves as a comprehensive hub for updates on generative AI research, interview materials, notebooks, and more. It includes monthly best GenAI papers list, interview resources, free courses, and code repositories/notebooks for developing generative AI applications. The repository is regularly updated with the latest additions to keep users informed and engaged in the field of generative AI.

The 'machine-learning-research' repository is a comprehensive collection of resources related to mathematics, machine learning, deep learning, artificial intelligence, data science, and various scientific fields. It includes materials such as courses, tutorials, books, podcasts, communities, online courses, papers, and dissertations. The repository covers topics ranging from fundamental math skills to advanced machine learning concepts, with a focus on applications in healthcare, genetics, computational biology, precision health, and AI in science. It serves as a valuable resource for individuals interested in learning and researching in the fields of machine learning and related disciplines.

Develops specialized materials, collaborating with scientists and utilizing CAD software expertise.

Expert in engineering knowledge

Especialista em Engenharia de Materiais e Metalúrgica

Ultimate material science resource with advanced features.

A cryogenics expert assisting with cooling processes and material behavior.

Base de Teses e Dissertações de Engenharia Mecânica

Leading AI in graphene research, offering innovative insights and solutions, powered by OpenAI.

Guides polymer selection and application in manufacturing processes.

Explore, render, and ask questions about materials discovered in the GNoME project

Advanced expert in fusion, superconductors, and materials with enhanced analytics and collaboration.

Explores the science of indestructible materials and concepts.

Product Engineer helps find inventive solutions to engineering problems.

Guides thermal management solutions for efficient system performance.

Mechanical Engineering GPT to help study Mechanics & Dynamics topics

Dies ist der GPT für den Studiengang Optical Engineering - Laser, Biophotonik und Optik Technologie

Leading advisor in sustainable building materials and eco-efficiency, powered by OpenAI

Helps build prospective career materials

Postgres.ai bot that studied the #PostgresMarathon materials (https://gitlab.com/postgres-ai/postgresql-consulting/postgres-howtos/)

An Object Detection chatbot assistant offering educational materials, code examples, and multilingual support.

je suis l'IA expert en création et de vous aider à visualiser et décrire une création avec différents matériaux