Best AI tools for< Battery Researcher >

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.

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.

Brave is a privacy-focused web browser that prioritizes user experience by blocking ads, trackers, and unwanted content. It offers features such as Shields, VPN, Leo AI Wallet, Rewards, Playlist, News Talk, and advanced privacy settings. Brave aims to provide a faster and more secure browsing experience while protecting user data and privacy. The browser is built on the open-source Chromium Web core and offers a private search engine called Brave Search. With a focus on user-first design, Brave is designed to save time, data, and battery life for its users.

eBicycles.ai is a comprehensive online platform that serves as your personal e-bike expert. Whether you are looking to purchase a new e-bike or maintain your current one, eBicycles.ai provides valuable information and resources to help you make informed decisions. The platform offers a blog with insightful articles, a calculator to assist with e-bike-related calculations, a directory of e-bike products and services, and information about e-bike technology trends and safety accessories.

GoDiary is a unique fitness application that utilizes proprietary machine learning algorithms to autonomously track your runs, walks, and rides. By combining GPS technology with its Autonomous Fitness Detection Engine (AFDE), GoDiary monitors your fitness activity in a battery-efficient manner. Users can set personalized goals, track their progress over time, and sync their data with Apple Health app. The app requires no user input for workout detection and provides accurate start and stop tracking. GoDiary stands out among fitness apps by offering automatic workout detection and minimizing battery drain.

MagicBid LLC is a web, mobile app, and CTV monetization platform that utilizes new age technology and AI-driven strategies to enhance profits for app and web publishers. The platform offers services such as app monetization, web monetization, and CTV monetization, empowering publishers with tools like Auto AdPilot, in-app bidding app monetization, growth intelligence, power ad servers, demand control center, privacy, and fraud protection. MagicBid aims to optimize ad revenue potential through a single SDK integration, connecting with 200+ top ad demand sources, ensuring impressive fill rates, zero latency, and battery drain. The platform also provides attack protection, privacy, and fraud protection services, complying with industry standards like IAB, GDPR, COPPA, and CCPA.

Awesome-Segment-Anything is a powerful tool for segmenting and extracting information from various types of data. It provides a user-friendly interface to easily define segmentation rules and apply them to text, images, and other data formats. The tool supports both supervised and unsupervised segmentation methods, allowing users to customize the segmentation process based on their specific needs. With its versatile functionality and intuitive design, Awesome-Segment-Anything is ideal for data analysts, researchers, content creators, and anyone looking to efficiently extract valuable insights from complex datasets.

noScribe is an AI-based software designed for automated audio transcription, specifically tailored for transcribing interviews for qualitative social research or journalistic purposes. It is a free and open-source tool that runs locally on the user's computer, ensuring data privacy. The software can differentiate between speakers and supports transcription in 99 languages. It includes a user-friendly editor for reviewing and correcting transcripts. Developed by Kai Dröge, a PhD in sociology with a background in computer science, noScribe aims to streamline the transcription process and enhance the efficiency of qualitative analysis.

Jailbreak is a comprehensive guide exploring iOS 17 and its various versions, discussing the benefits, status, possibilities, and future impact of jailbreaking iOS devices. It covers topics such as preparation, safety measures, differences between tethered and untethered jailbreaks, best practices, and FAQs. The guide also provides information on specific jailbreak tools like Palera1n, Serotonin, NekoJB, Redensa, and Dopamine, along with their features and download links. Users can learn about supported devices, the latest updates, and the status of jailbreaking for different iOS versions. The tool aims to empower users to unlock new possibilities and customize their devices beyond Apple's restrictions.

A public repository collecting links to state-of-the-art training sets, QA, benchmarks and other evaluations for various ML and LLM applications in materials science and chemistry. It includes datasets related to chemistry, materials, multimodal data, and knowledge graphs in the field. The repository aims to provide resources for training and evaluating machine learning models in the materials science and chemistry domains.

OpenGlass is an open-source project that allows users to transform any regular glasses into smart glasses using affordable off-the-shelf components. With a cost of less than $25, users can enhance their glasses to record their daily activities, recognize people, identify objects, translate text, and more. The project provides detailed instructions on hardware setup and software installation, making it accessible for DIY enthusiasts and tech enthusiasts alike. By following the steps outlined in the repository, users can create their own smart glasses and explore various functionalities offered by the project.

Omi is an open-source AI wearable that provides automatic, high-quality transcriptions of meetings, chats, and voice memos. It revolutionizes how conversations are captured and managed by connecting to mobile devices. The tool offers features for seamless documentation and integration with third-party services.

hongbomiao.com is a personal research and development (R&D) lab that facilitates the sharing of knowledge. The repository covers a wide range of topics including web development, mobile development, desktop applications, API servers, cloud native technologies, data processing, machine learning, computer vision, embedded systems, simulation, database management, data cleaning, data orchestration, testing, ops, authentication, authorization, security, system tools, reverse engineering, Ethereum, hardware, network, guidelines, design, bots, and more. It provides detailed information on various tools, frameworks, libraries, and platforms used in these domains.

AIS-catcher for Android is a multi-platform AIS receiver app that transforms your Android device into a dual channel AIS receiver. It directly accesses a Software Defined Radio USB device to pick up AIS signals from nearby vessels, visualizing them on a built-in map or sending messages via UDP to plotting apps. The app requires a RTL-SDR dongle or an AirSpy device, a simple antenna, an Android device with USB connector, and an OTG cable. It is designed for research and educational purposes under the GPL license, with no warranty. Users are responsible for prudent use and compliance with local regulations. The app is not intended for navigation or safety purposes.

Palera1n-Jailbreak is a comprehensive guide and tool for jailbreaking iOS 17.6.1 to iOS 15 and iPadOS 18.1 beta 4, 17. It provides information on compatibility, installation, achievements, research data, and working tweak list. The tool is based on the checkm8 exploit, allowing customization of iOS devices with third-party apps and tweaks. Palera1n offers features like root access, tweak injection, and custom themes, making it a valuable tool for iOS customization enthusiasts.

Sidekick is a native LLM application for macOS that allows users to chat with a local language model to retrieve information from files, folders, and websites without the need for additional software installation. It operates offline, ensuring data privacy and security. Sidekick offers features such as resource access, image generation, inline writing assistance, advanced markdown rendering, fast generation speeds, and more. The tool aims to provide a simple and powerful solution for accessing local, private models with context awareness of user files and content on the web.

InterpretML is an open-source package that incorporates state-of-the-art machine learning interpretability techniques under one roof. With this package, you can train interpretable glassbox models and explain blackbox systems. InterpretML helps you understand your model's global behavior, or understand the reasons behind individual predictions. Interpretability is essential for: - Model debugging - Why did my model make this mistake? - Feature Engineering - How can I improve my model? - Detecting fairness issues - Does my model discriminate? - Human-AI cooperation - How can I understand and trust the model's decisions? - Regulatory compliance - Does my model satisfy legal requirements? - High-risk applications - Healthcare, finance, judicial, ...

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.

MindWork AI Studio is a desktop application that provides a unified chat interface for Large Language Models (LLMs). It is free to use for personal and commercial purposes, offers independence in choosing LLM providers, provides unrestricted usage through the providers API, and is cost-effective with pay-as-you-go pricing. The app prioritizes privacy, flexibility, minimal storage and memory usage, and low impact on system resources. Users can support the project through monthly contributions or one-time donations, with opportunities for companies to sponsor the project for public relations and marketing benefits. Planned features include support for more LLM providers, system prompts integration, text replacement for privacy, and advanced interactions tailored for various use cases.

This repository is designed to inject backdoors into Language Model Models (LLMs) for code. The injected backdoors serve as timestamps for the training dataset of the LLMs. The code is randomly generated and includes watermark backdoors to show specific behaviors. A script automatically updates the repository with a new backdoor every month. Validating the existence of the backdoor can infer when the training dataset was collected. The backdoors are constructed in a specific format, and verifying them may require multiple tries. The repository keeps a record of backdoors injected along with associated dates.

InternLM-XComposer2 is a groundbreaking vision-language large model (VLLM) based on InternLM2-7B excelling in free-form text-image composition and comprehension. It boasts several amazing capabilities and applications: * **Free-form Interleaved Text-Image Composition** : InternLM-XComposer2 can effortlessly generate coherent and contextual articles with interleaved images following diverse inputs like outlines, detailed text requirements and reference images, enabling highly customizable content creation. * **Accurate Vision-language Problem-solving** : InternLM-XComposer2 accurately handles diverse and challenging vision-language Q&A tasks based on free-form instructions, excelling in recognition, perception, detailed captioning, visual reasoning, and more. * **Awesome performance** : InternLM-XComposer2 based on InternLM2-7B not only significantly outperforms existing open-source multimodal models in 13 benchmarks but also **matches or even surpasses GPT-4V and Gemini Pro in 6 benchmarks** We release InternLM-XComposer2 series in three versions: * **InternLM-XComposer2-4KHD-7B** 🤗: The high-resolution multi-task trained VLLM model with InternLM-7B as the initialization of the LLM for _High-resolution understanding_ , _VL benchmarks_ and _AI assistant_. * **InternLM-XComposer2-VL-7B** 🤗 : The multi-task trained VLLM model with InternLM-7B as the initialization of the LLM for _VL benchmarks_ and _AI assistant_. **It ranks as the most powerful vision-language model based on 7B-parameter level LLMs, leading across 13 benchmarks.** * **InternLM-XComposer2-VL-1.8B** 🤗 : A lightweight version of InternLM-XComposer2-VL based on InternLM-1.8B. * **InternLM-XComposer2-7B** 🤗: The further instruction tuned VLLM for _Interleaved Text-Image Composition_ with free-form inputs. Please refer to Technical Report and 4KHD Technical Reportfor more details.

AirBattery is a tool for Mac that allows users to monitor the battery levels of all their connected devices, such as iPhone, iPad, and Apple Watch, and display this information in the Dock, menu bar, or widgets. It automatically detects devices that support wireless battery monitoring and provides a seamless user experience without the need for manual configuration. Users can customize the display settings, hide specific devices, and easily manage their battery information. The tool requires macOS 11.0 or higher and offers a convenient way to keep track of multiple device battery levels from a single interface.

Efficient Recorder is a battery-life friendly tool designed to stream video, screen, mic, and system audio to any S3-compatible cloud storage service. It captures audio, screenshots, and webcam photos at configurable fps, utilizing low-energy volume detection for audio recording. The tool streams data to a configurable S3 endpoint or a custom server using MinIO. It aims to be storage and battery efficient, providing queued upload processing and minimal system resource overhead. The tool requires SoX for audio recording and webcam capture tools for operation. Users can specify various command line options for customization, such as enabling screenshot and webcam capture with specific intervals and image quality settings.

Professional experts in the battery field will answer your battery questions in the simplest way. At the same time, the database is constantly updated, and it has now been updated to 2024/01/10

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