Best AI tools for< Energy Engineer >

Head Energy is an independent engineering company that delivers projects, consultancy, products, and services primarily in the energy and construction sectors. They aim to promote sustainable solutions and make a positive impact by providing innovative engineering solutions for more efficient energy production, lower emissions, and improved infrastructure. With a focus on being a leading employer offering professional development, flexibility, and high expectations, Head Energy operates as a unique engineering group positioned in both the energy and construction industries.

Futr Energy is a solar asset management platform designed to help manage solar power plants efficiently. It offers a range of tools and features such as remote monitoring, CMMS, inventory management, performance monitoring, and automated reports. Futr Energy aims to provide clean energy developers, operators, and investors with intelligent solutions to optimize the generation and performance of solar assets.

Proxy is an AI-powered platform that focuses on utility scale renewables projects. It aims to automate renewable energy projects to power communities, businesses, and homes. Proxy provides intelligent financing solutions, project coordination services, and energy market integrations to streamline the process of generating renewable power. As an innovation partner with the U.S. Department of Energy, Proxy is committed to offsetting carbon emissions and making a significant impact on the environment.

Interesting Engineering is a website that covers the latest news and developments in technology, science, innovation, and engineering. The website features articles, videos, and podcasts on a wide range of topics, including artificial intelligence, robotics, space exploration, and renewable energy. Interesting Engineering also offers a variety of educational resources, such as courses, workshops, and webinars.

Earth AI is a high-performance explorer for clean energy minerals, utilizing artificial intelligence to discover untapped critical metal deposits at half the cost and in a fraction of the time. The company works with mineral resource companies to improve their odds of success while keeping costs low, offering accurate AI-driven prospect detection, modular hardware, and streamlined operations. Earth AI's revenue model is independent of service profits, and their process is four times faster than traditional methods. The company partners with explorers and development companies to bring discovered deposits into production.

Oxygen Digital Recruitment is a specialized AI and Data Science recruitment platform that focuses on providing talent solutions for cutting-edge markets, including Geospatial & ESG, Energy Trading, Renewable Energy, Artificial Intelligence, and Data Science. The platform offers various services such as Permanent Search, Embedded Specialist Talent, Short-term Staffing, Retained Search, and Fractional Advisory. Oxygen Digital aims to accelerate decarbonization by delivering top talent to drive change in the industry. The platform collaborates with start-ups, scale-ups, and global enterprises to build domain-specific innovation teams, providing access to deep passive networks and the ability to hire blended workforces.

Accuris is an AI-powered digital engineering solutions platform that specializes in workflow optimization. It offers a range of solutions for industries such as Aerospace & Defense, Automotive & Transportation, Electronics, Energy, Government, Manufacturing, Medical Devices, and more. Accuris merges authoritative content with cutting-edge technology to reduce the time engineers spend researching, referencing, and embedding standards, allowing them to focus more on innovation. The platform provides access to industry standards, technical articles, patents, and more, with a focus on enhancing communication and collaboration in the engineering process.

Groq is a fast AI inference tool that offers GroqCloud™ Platform and GroqRack™ Cluster for developers to build and deploy AI models with ultra-low-latency inference. It provides instant intelligence for openly-available models like Llama 3.1 and is known for its speed and compatibility with other AI providers. Groq powers leading openly-available AI models and has gained recognition in the AI chip industry. The tool has received significant funding and valuation, positioning itself as a strong challenger to established players like Nvidia.

The website appears to be displaying a '403 Forbidden' error message, which indicates that the server is refusing to respond to the request. This error is often caused by incorrect permissions on the server or a misconfiguration in the server settings. The message 'openresty' suggests that the server may be running the OpenResty web platform. OpenResty is a web platform based on NGINX and Lua that is commonly used to build high-performance web applications. It provides a powerful and flexible way to extend NGINX with Lua scripts, allowing for advanced web server functionality.

Odysight.ai is a pioneering AI platform specializing in Predictive Maintenance and Condition Based Monitoring for Industry 4.0 markets. The platform utilizes Camera-as-a-Sensor™ technology and AI models to provide real-time insights in hard-to-reach locations and harsh environments across industries such as aviation, energy, mobility, and transportation.

The website focuses on the DARROW project, which aims to make wastewater treatment more sustainable and efficient using a data-driven AI solution. It brings together experts from various disciplines to optimize resource recovery from wastewater, reduce energy consumption, and contribute to a circular economy. The project utilizes AI to enhance operational efficiency in wastewater treatment plants and explores innovative solutions for cleaner water management.

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.

BuildAi is an AI tool designed to provide the lowest cost GPU cloud for AI training on the market. The platform is powered with renewable energy, enabling companies to train AI models at a significantly reduced cost. BuildAi offers interruptible pricing, short term reserved capacity, and high uptime pricing options. The application focuses on optimizing infrastructure for training and fine-tuning machine learning models, not inference, and aims to decrease the impact of computing on the planet. With features like data transfer support, SSH access, and monitoring tools, BuildAi offers a comprehensive solution for ML teams.

PROPHESEE is an AI-driven system developed by Metavision Technologies that leverages Event-Based Vision technology inspired by human vision and neuromorphic engineering. It enables machines to capture hyper-fast and fleeting scene dynamics, manage extreme lighting conditions, and operate with new levels of power efficiency. The system enhances machine intelligence, autonomy, speed, and safety, offering a new era in autonomy, automation, and mobility. PROPHESEE combines patented neuromorphic vision sensors and AI algorithms to create an unparalleled event-based vision system, dynamically driven by live scene events. It significantly improves artificial vision speed and efficiency, reducing energy consumption and computational power requirements.

d-Matrix is an AI tool that offers ultra-low latency batched inference for generative AI technology. It introduces Corsair™, the world's most efficient AI inference platform for datacenters, providing high performance, efficiency, and scalability for large-scale inference tasks. The tool aims to transform the economics of AI inference by delivering fast, sustainable, and scalable AI solutions without compromising on speed or usability.

IFS.ai is an Industrial AI application that delivers actionable insights to reduce risk, automate production, and drive innovation across various industries such as Aerospace and Defense, Energy Utilities and Resources, Construction and Engineering, Manufacturing, and Service Industries. It harnesses data and AI capabilities to supercharge insights, optimize processes, enhance productivity, and achieve sustainability goals. IFS.ai empowers users to make informed decisions, adapt dynamically to changing conditions, and drive transformative change in their operations.

ZEBCOIN is an AI-powered platform that focuses on decentralized identity verification, intellectual property rights, AI-driven decentralized finance (DeFi) and micro-lending, environmental sustainability, and transparency in supply chains. It aims to leverage AI and blockchain technology to offer innovative financial solutions, promote clean energy initiatives, ensure transparency in global supply chains, and provide decentralized identity verification services. The platform also plans to launch its own blockchain (ZEB Chain) with features like an explorer, decentralized exchanges (DEX) transparency, NFT marketplace, and lending and DeFi services. ZEBCOIN aims to revolutionize the blockchain space by integrating AI technology into various aspects of its ecosystem.

Rebellions is an AI technology company specializing in AI chips and systems-on-chip for various applications. They focus on energy-efficient solutions and have secured significant investments to drive innovation in the field of Generative AI. Rebellions aims to reshape the future by providing versatile and efficient AI computing solutions.

Ripik.ai is an applied AI company developing computer vision agents—an automated pair of eyes for industries like steel, cement, and chemicals. These AI-driven agents provide 24/7 monitoring with 95%+ accuracy, enabling real-time decision-making while eliminating human error and inefficiencies. Ripik's Computer Vision AI Platform offers solutions for material, process, and equipment monitoring, driving higher throughput, improved energy efficiency, and enhanced quality, delivering direct and measurable gains across industrial operations.

ITHENA is an AI-powered platform offering solutions for smart manufacturing, digital shopfloor, manufacturing excellence, B2B eCommerce, smart infrastructure, smart EV charging, smart energy management, smart street lights, smart asset tracking, smart marketplace, social analytics, modern content app services, business transformation, systems of engagement, customer experience, manufacturing integration, manufacturing execution, industrial IoT, data management, big data & analytics, AI/ML, data science, cloud modernization, and cloud adoption. It caters to industries such as industrial manufacturing, automotive & mobility, healthcare & life sciences, energy, utility & government, and media & entertainment. ITHENA provides tailored solutions for both SMBs and enterprise-scale businesses.

SurveyX is an advanced academic survey automation system that leverages Large Language Models (LLMs) to generate high-quality, domain-specific academic papers and surveys. Users can request comprehensive academic papers or surveys tailored to specific topics by providing a paper title and keywords for literature retrieval. The system streamlines academic research by automating paper creation, saving users time and effort in compiling research content.

MATLAB-Simulink-Challenge-Project-Hub is a repository aimed at contributing to the progress of engineering and science by providing challenge projects with real industry relevance and societal impact. The repository offers a wide range of projects covering various technology trends such as Artificial Intelligence, Autonomous Vehicles, Big Data, Computer Vision, and Sustainability. Participants can gain practical skills with MATLAB and Simulink while making a significant contribution to science and engineering. The projects are designed to enhance expertise in areas like Sustainability and Renewable Energy, Control, Modeling and Simulation, Machine Learning, and Robotics. By participating in these projects, individuals can receive official recognition for their problem-solving skills from technology leaders at MathWorks and earn rewards upon project completion.

The Universal Numbers Library is a header-only C++ template library designed for universal number arithmetic, offering alternatives to native integer and floating-point for mixed-precision algorithm development and optimization. It tailors arithmetic types to the application's precision and dynamic range, enabling improved application performance and energy efficiency. The library provides fast implementations of special IEEE-754 formats like quarter precision, half-precision, and quad precision, as well as vendor-specific extensions. It supports static and elastic integers, decimals, fixed-points, rationals, linear floats, tapered floats, logarithmic, interval, and adaptive-precision integers, rationals, and floats. The library is suitable for AI, DSP, HPC, and HFT algorithms.

Awesome Green AI is a curated list of resources and tools aimed at reducing the environmental impacts of using and deploying AI. It addresses the carbon footprint of the ICT sector, emphasizing the importance of AI in reducing environmental impacts beyond GHG emissions and electricity consumption. The tools listed cover code-based tools for measuring environmental impacts, monitoring tools for power consumption, optimization tools for energy efficiency, and calculation tools for estimating environmental impacts of algorithms and models. The repository also includes leaderboards, papers, survey papers, and reports related to green AI and environmental sustainability in the AI sector.

Awesome Embodied AI Job is a curated list of resources related to jobs in the field of Embodied Artificial Intelligence. It includes job boards, companies hiring, and resources for job seekers interested in roles such as robotics engineer, computer vision specialist, AI researcher, machine learning engineer, and data scientist.

Collective Mind (CM) is a collection of portable, extensible, technology-agnostic and ready-to-use automation recipes with a human-friendly interface (aka CM scripts) to unify and automate all the manual steps required to compose, run, benchmark and optimize complex ML/AI applications on any platform with any software and hardware: see online catalog and source code. CM scripts require Python 3.7+ with minimal dependencies and are continuously extended by the community and MLCommons members to run natively on Ubuntu, MacOS, Windows, RHEL, Debian, Amazon Linux and any other operating system, in a cloud or inside automatically generated containers while keeping backward compatibility - please don't hesitate to report encountered issues here and contact us via public Discord Server to help this collaborative engineering effort! CM scripts were originally developed based on the following requirements from the MLCommons members to help them automatically compose and optimize complex MLPerf benchmarks, applications and systems across diverse and continuously changing models, data sets, software and hardware from Nvidia, Intel, AMD, Google, Qualcomm, Amazon and other vendors: * must work out of the box with the default options and without the need to edit some paths, environment variables and configuration files; * must be non-intrusive, easy to debug and must reuse existing user scripts and automation tools (such as cmake, make, ML workflows, python poetry and containers) rather than substituting them; * must have a very simple and human-friendly command line with a Python API and minimal dependencies; * must require minimal or zero learning curve by using plain Python, native scripts, environment variables and simple JSON/YAML descriptions instead of inventing new workflow languages; * must have the same interface to run all automations natively, in a cloud or inside containers. CM scripts were successfully validated by MLCommons to modularize MLPerf inference benchmarks and help the community automate more than 95% of all performance and power submissions in the v3.1 round across more than 120 system configurations (models, frameworks, hardware) while reducing development and maintenance costs.

A curated list of high-quality papers on resource-efficient Large Language Models (LLMs) with a focus on various aspects such as architecture design, pre-training, fine-tuning, inference, system design, and evaluation metrics. The repository covers topics like efficient transformer architectures, non-transformer architectures, memory efficiency, data efficiency, model compression, dynamic acceleration, deployment optimization, support infrastructure, and other related systems. It also provides detailed information on computation metrics, memory metrics, energy metrics, financial cost metrics, network communication metrics, and other metrics relevant to resource-efficient LLMs. The repository includes benchmarks for evaluating the efficiency of NLP models and references for further reading.

Telco-AIX is a collaborative experimental workspace dedicated to exploring data-driven decision-making use-cases using open source AI capabilities and open datasets. The repository focuses on projects related to revenue assurance, fraud management, service assurance, latency predictions, 5G network operations, sustainability, energy efficiency, SecOps-AI for networking, AI-powered SmartGrid, IoT perimeter security, anomaly detection, root cause analysis, customer relationship management voice app, Starlink quality of experience predictions, and NoC AI augmentation for OSS.

This repository provides comprehensive roadmaps for various roles in the Data Analytics, Data Science, and Artificial Intelligence industry. It aims to guide individuals, whether students or professionals, in understanding the required skills and timeline for different roles, helping them focus on learning the necessary skills to secure a job. The repository includes detailed guides for roles such as Data Analyst, Data Engineer, Data Scientist, AI Engineer, Computer Vision Engineer, Generative AI Engineer, Machine Learning Engineer, NLP Engineer, and Domain-Specific ML Topics for Researchers.

AixLib is a Modelica model library for building performance simulations developed at RWTH Aachen University, E.ON Energy Research Center, Institute for Energy Efficient Buildings and Indoor Climate (EBC) in Aachen, Germany. It contains models of HVAC systems as well as high and reduced order building models. The name AixLib is derived from the city's French name Aix-la-Chapelle, following a local tradition. The library is continuously improved and offers citable papers for reference. Contributions to the development can be made via Issues section or Pull Requests, following the workflow described in the Wiki. AixLib is released under a 3-clause BSD-license with acknowledgements to public funded projects and financial support by BMWi (German Federal Ministry for Economic Affairs and Energy).

EcoLogits tracks energy consumption and environmental impacts of generative AI models through APIs. It provides estimated environmental impacts of the inference, such as energy consumption and GHG emissions. The tool supports integration with various providers like Anthropic, Cohere, Google GenerativeAI, Huggingface Hub, MistralAI, and OpenAI. Users can easily install EcoLogits using pip and access detailed documentation on ecologits.ai. The project welcomes contributions and is licensed under MPL-2.0.

SolarLLMZeroToAll is a comprehensive repository that provides a step-by-step guide and resources for learning and implementing Solar Longitudinal Learning Machines (SolarLLM) from scratch. The repository covers various aspects of SolarLLM, including theory, implementation, and applications, making it suitable for beginners and advanced users interested in solar energy forecasting and machine learning. The materials include detailed explanations, code examples, datasets, and visualization tools to facilitate understanding and practical implementation of SolarLLM models.

T-MAC is a kernel library that directly supports mixed-precision matrix multiplication without the need for dequantization by utilizing lookup tables. It aims to boost low-bit LLM inference on CPUs by offering support for various low-bit models. T-MAC achieves significant speedup compared to SOTA CPU low-bit framework (llama.cpp) and can even perform well on lower-end devices like Raspberry Pi 5. The tool demonstrates superior performance over existing low-bit GEMM kernels on CPU, reduces power consumption, and provides energy savings. It achieves comparable performance to CUDA GPU on certain tasks while delivering considerable power and energy savings. T-MAC's method involves using lookup tables to support mpGEMM and employs key techniques like precomputing partial sums, shift and accumulate operations, and utilizing tbl/pshuf instructions for fast table lookup.

An integration for Home Assistant that leverages AI models to understand your unique home environment and propose intelligent automations. By analyzing your entities, devices, areas, and existing automations, the AI Automation Suggester helps you discover new, context-aware use cases you might not have considered, ultimately streamlining your home management and improving efficiency, comfort, and convenience. The tool acts as a personal automation consultant, providing actionable YAML-based automations that can save energy, improve security, enhance comfort, and reduce manual intervention. It turns the complexity of a large Home Assistant environment into actionable insights and tangible benefits.

This repository contains a hand-curated list of great machine (deep) learning resources for Natural Language Processing (NLP) with a focus on Generative Pre-trained Transformer (GPT), Bidirectional Encoder Representations from Transformers (BERT), attention mechanism, Transformer architectures/networks, Chatbot, and transfer learning in NLP.

Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words，Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)

Eco2AI is a python library for CO2 emission tracking that monitors energy consumption of CPU & GPU devices and estimates equivalent carbon emissions based on regional emission coefficients. Users can easily integrate Eco2AI into their Python scripts by adding a few lines of code. The library records emissions data and device information in a local file, providing detailed session logs with project names, experiment descriptions, start times, durations, power consumption, CO2 emissions, CPU and GPU names, operating systems, and countries.

COLD-Attack is a framework designed for controllable jailbreaks on large language models (LLMs). It formulates the controllable attack generation problem and utilizes the Energy-based Constrained Decoding with Langevin Dynamics (COLD) algorithm to automate the search of adversarial LLM attacks with control over fluency, stealthiness, sentiment, and left-right-coherence. The framework includes steps for energy function formulation, Langevin dynamics sampling, and decoding process to generate discrete text attacks. It offers diverse jailbreak scenarios such as fluent suffix attacks, paraphrase attacks, and attacks with left-right-coherence.

A comprehensive repository focusing on 'Model Merging in LLMs, MLLMs, and Beyond', providing an exhaustive overview of model merging methods, theories, applications, and future research directions. The repository covers various advanced methods, applications in foundation models, different machine learning subfields, and tasks like pre-merging methods, architecture transformation, weight alignment, basic merging methods, and more.

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.

Advanced expert in wireless energy transmission, innovating with technical excellence and industry leadership, powered by OpenAI.

Expert in wind energy and renewable technology, informative and environmental

Advises on sustainable engineering solutions to environmental challenges.

Your eco-friendly aide for sustainable living! 🌟 Offers insights on renewable energy sources, tips for reducing carbon footprint, and green tech trends. 🌍

Friendly guide on sustainable living with accurate info.

New Earth Score

The pressing environmental issues we face today require novel approaches and technological advancements to effectively mitigate their impacts. GaiaAI offers a range of tools and modes to promote sustainable practices and enhance environmental stewardship.

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Advanced quantum computing expert for renewable energy mapping.

A tutor for Energy Conversion Principles, providing detailed, searchable answers.

Informative AI assistant with sponsor insights for the MIT hackathon

Calculates appliance costs and offers energy-saving tips.

Expert on energy improvement with practical, health-focused advice.

Illuminating the path to smarter energy use and effortless savings.

An expert energy advisor offering sustainable and efficiency tips.

Expert on renewable energy integration and management.

Guides on energy optimization & Niagara Workbench

Specialized in Schneider Electric's energy solutions and automation.

Your go-to AI for crafting sustainable energy solutions. From solar to wind, I'll help devise eco-friendly strategies! 🍃

Offers practical advice on recharging devices and energy-saving tips.