Best AI tools for< Institutional Researcher >

Entera is an advanced residential real estate investment platform that enables investors to find, buy, and operate single-family homes at scale. Fueled by AI and full-service transaction services, Entera serves operators, funds, agents, and builders by providing access to on and off-market homes, real-time market data, analytics tools, and expert services. The platform modernizes the real estate buying process, helping clients make data-driven investment decisions, scale their operations, and maximize success.

FinChat.io is a comprehensive AI-powered stock research platform that provides institutional-quality data and insights to investors. With FinChat.io, you can access accurate financial data on over 100,000 global public companies, as well as company revenue and profit segments, KPIs, analyst estimates, price targets, and ratings. FinChat.io also utilizes cutting-edge AI to build summaries, models, and visualizations, making it easy to understand complex financial data. Additionally, FinChat.io offers a customizable terminal, allowing you to track what matters most to you and auto-save your research. With FinChat.io, you can work faster than ever and make better investment decisions.

Toggle Terminal is an AI-powered platform that brings data to life with natural language. It offers a suite of award-winning analytic tools wrapped in an accessible, natural language-based user experience. Users can ask questions in plain language and receive immediate, data-backed answers without the need for coding or spreadsheet manipulation. Toggle Terminal provides institutional-grade analytical tools for scenario testing, asset intelligence, chart exploration, and idea discovery. It helps users connect data, test market hypotheses, screen securities, and explore hidden relationships between organizations. Additionally, Toggle AI offers customized AI solutions and integrations for institutional investors in asset management and capital markets.

EquBot is an AI tool designed for investment and wealth management. It offers non-advisory institutional solutions powered by IBM Watson. The tool can be accessed at www.QuantumStreetAI.com. EquBot is based in San Francisco, California, and provides advanced AI-driven services to optimize investment decisions and wealth management strategies.

Fintwit is an AI-powered stock market analysis tool that provides users with stock market quotes, free screener, AI top picks, AI stock analysis, market news, and trading signals. The platform leverages artificial intelligence to offer valuable insights and recommendations to investors and traders. With Fintwit, users can access real-time data, make informed investment decisions, and stay updated on the latest market trends.

Telborg is an AI tool designed for fast and credible Climate & Energy research and writing. It offers the ability to summarize PDFs using AI technology, making it easier for users to extract key information efficiently. Telborg aims to provide users with reliable and accurate climate research results through its AI-powered platform. The tool is constantly evolving and improving to meet the needs of researchers and writers in the field of climate and energy.

Simudyne is an enterprise simulation software powered by AI technology. It allows large financial institutions to simulate various future scenarios efficiently and measure their impact in a safe virtual environment. The software offers solutions for environment, social and governance issues, market execution, financial crime analytics, and risk management. Simudyne's technology is secure, distributable, and Cloudera certified, providing a robust library of code for specialized functions. The platform also utilizes agent-based modeling to bridge the gap between theoretical and real-world scenarios in the financial services sector.

Emerj is a leading provider of enterprise AI insights, research, and connections to the right AI tools and providers. We cover AI use-cases and impact in the world’s largest organizations. Our mission is to help businesses understand and implement AI to achieve their business goals.

The Munich Center for Machine Learning (MCML) is a top spot for AI and ML research in Europe. It is one of six national AI Competence Centers funded by the German and Bavarian government's AI strategy. MCML brings together leading ML researchers from LMU, TUM, and associated institutions to transfer innovations and AI potential to industry and society. The center's vision is to unite leading researchers in Germany to strengthen competence in ML and AI at international, national, and regional levels, fostering talent and making potential accessible to users from various sectors.

Mako AI is an AI-powered associate designed to revolutionize the workflows of investment firms by streamlining research, analysis, and drafting processes. It offers essential tools to simplify data access, safeguard information, and provide actionable insights. With features like enterprise search, chat capabilities, and a knowledge base, Mako AI centralizes institutional knowledge and ensures data security with SOC 2 Type II certification. The application is easy to implement, prioritizes security, and enhances collaboration within firms.

GenAI Summit 2024 - Uncharted Frontiers is an AI-focused event that brings together leading experts in the field to discuss the latest advancements and future trends in artificial intelligence. The summit features distinguished speakers from top tech companies and academic institutions, offering valuable insights and thought-provoking discussions on the impact of AI on various industries. Organized by the New Turing Institute (NTI) and Rethink Healthcare Foundation (RHF), the event aims to foster collaboration, innovation, and knowledge sharing within the global AI community.

Plagiarism Checker is an online plagiarism detector that helps check text originality, verify authorship, trace AI-generated content, and improve writing. It scans for plagiarism to indicate similarities in any text and provides an unbiased similarity report. Plagiarism Checker offers solutions for organizations and individuals, including K-12 schools, higher education institutions, students, writers, and content creators. With advanced algorithms, unlimited text length, interactive results, downloadable reports, and strict confidentiality, Plagiarism Checker is a reliable tool for ensuring academic integrity and originality in writing.

Modality.AI is an AI application that has developed an automated, clinically validated system to assess neurological and psychiatric states both in clinic and remotely. The platform utilizes conversational AI to monitor conditions accurately and consistently, allowing researchers and clinicians to review data in near real-time and monitor treatment response over time. Modality.AI collaborates with world-class AI/Machine Learning experts and leading institutions to provide a HIPAA-compliant system for assessing various indications such as ALS, Parkinson's, depression, autism, Huntington's Disease, schizophrenia, and mild cognitive impairment. The platform enables convenient monitoring at home through streaming and analysis of speech and facial responses, without the need for special software or apps. Modality.AI is accessible on various devices with a browser, webcam, and microphone, offering a new approach to efficient and cost-effective clinical trials.

CityFALCON is a financial and business due diligence platform that provides a range of solutions for the needs of a wide audience, including retail investors, retail traders, daily business news readers, brokers, students, professors, academia, wealth managers, financial advisors, P2P crowdfunding, VC, PE, institutional investors, treasury, consultancy, legal, accounting, central banks, and regulatory agencies. The platform offers a variety of features and content, including a CityFALCON Score, watchlists, similar stories, grouping news on charts, key headlines, sentiment content translation, content news premium publications, insider transactions, official company filings, investor relations, ESG content, and languages.

Otio is an AI-native workspace designed for research and writing, powered by advanced models like GPT-4, Claude 3, and Mistral. It offers features such as summarizing and chatting with documents, writing, editing, and paraphrasing with AI assistance. Otio is trusted by researchers, students, and analysts from top institutions, providing a simple and efficient way to collect, read, and write in a single workspace. The tool aims to streamline the research process by summarizing various types of content, generating first drafts, and helping users extract key insights quickly.

iseek.ai is an AI-powered search and analytics platform designed to revolutionize decision-making in professional and higher education institutions. The platform utilizes patented AI and Natural Language Understanding technology to help users find and synthesize essential information quickly and efficiently. iseek.ai offers solutions for accreditation preparation, curriculum design, outcome analytics, and more, enabling users to transform their content and data into actionable insights.

Olovka AI is an advanced AI essay writer and learning companion tailored specifically for students. It helps students write perfect essays, conduct detailed research, and transform essays into interactive quizzes for faster, active learning. Olovka's generative AI provides targeted suggestions and guides students through each phase of the essay writing process, enhancing their work without doing it all for them. It is designed to assist students in enhancing their writing skills without being considered a problem by academic institutions.

Copyleaks is an AI-based plagiarism and AI content detection tool that empowers users to create and protect original content. It offers solutions for academic integrity, AI model training, IP and copyright protection, and code governance and compliance. With features like AI Detector, Plagiarism Detector, Writing Assistant, and API integrations, Copyleaks ensures content integrity and transparency. The tool performs over 30 million scans per month across 100+ countries, catering to institutions, enterprises, and individuals. Copyleaks prioritizes data security and compliance, being GDPR-compliant and SOC 2 and SOC 3 certified.

InsightFace is an open-source deep face analysis library that provides a rich variety of state-of-the-art algorithms for face recognition, detection, and alignment. It is designed to be efficient for both training and deployment, making it suitable for research institutions and industrial organizations. InsightFace has achieved top rankings in various challenges and competitions, including the ECCV 2022 WCPA Challenge, NIST-FRVT 1:1 VISA, and WIDER Face Detection Challenge 2019.

Hebbia is an AI tool designed to help users collaborate with AI agents more confidently over all the documents that matter. It offers Matrix agents that can handle questions about millions of documents at a time, executing workflows with hundreds of steps. Hebbia is known for its Trustworthy AI approach, showing its work at each step to build user trust. The tool is used by top enterprises, financial institutions, governments, and law firms worldwide, saving users time and making them more efficient in their work.

Awesome AI is a curated list of artificial intelligence resources including courses, tools, apps, and open-source projects. It covers a wide range of topics such as machine learning, deep learning, natural language processing, robotics, conversational interfaces, data science, and more. The repository serves as a comprehensive guide for individuals interested in exploring the field of artificial intelligence and its applications across various domains.

TotalSegmentator is a 3D Slicer extension designed for fully automatic whole body CT segmentation using the 'TotalSegmentator' AI model. The computation time is less than one minute, making it efficient for research purposes. Users can set up GPU acceleration for faster segmentation. The tool provides a user-friendly interface for loading CT images, creating segmentations, and displaying results in 3D. Troubleshooting steps are available for common issues such as failed computation, GPU errors, and inaccurate segmentations. Contributions to the extension are welcome, following 3D Slicer contribution guidelines.

This is the official repository for the ACM CCS 2024 paper 'Do Anything Now': Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models. The project employs a new framework called JailbreakHub to conduct the first measurement study on jailbreak prompts in the wild, collecting 15,140 prompts from December 2022 to December 2023, including 1,405 jailbreak prompts. The dataset serves as the largest collection of in-the-wild jailbreak prompts. The repository contains examples of harmful language and is intended for research purposes only.

Kaapana is an open-source toolkit for state-of-the-art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging. Obtaining large amounts of medical data necessary for developing and training modern machine learning methods is an extremely challenging effort that often fails in a multi-center setting, e.g. due to technical, organizational and legal hurdles. A federated approach where the data remains under the authority of the individual institutions and is only processed on-site is, in contrast, a promising approach ideally suited to overcome these difficulties. Following this federated concept, the goal of Kaapana is to provide a framework and a set of tools for sharing data processing algorithms, for standardized workflow design and execution as well as for performing distributed method development. This will facilitate data analysis in a compliant way enabling researchers and clinicians to perform large-scale multi-center studies. By adhering to established standards and by adopting widely used open technologies for private cloud development and containerized data processing, Kaapana integrates seamlessly with the existing clinical IT infrastructure, such as the Picture Archiving and Communication System (PACS), and ensures modularity and easy extensibility.

Windows Agent Arena (WAA) is a scalable Windows AI agent platform designed for testing and benchmarking multi-modal, desktop AI agents. It provides researchers and developers with a reproducible and realistic Windows OS environment for AI research, enabling testing of agentic AI workflows across various tasks. WAA supports deploying agents at scale using Azure ML cloud infrastructure, allowing parallel running of multiple agents and delivering quick benchmark results for hundreds of tasks in minutes.

This repository is a curated collection of resources for fine-tuning Large Language Models (LLMs) like GPT, BERT, RoBERTa, and their variants. It includes tutorials, papers, tools, frameworks, and best practices to aid researchers, data scientists, and machine learning practitioners in adapting pre-trained models to specific tasks and domains. The resources cover a wide range of topics related to fine-tuning LLMs, providing valuable insights and guidelines to streamline the process and enhance model performance.

Supervisely is a computer vision platform that provides a range of tools and services for developing and deploying computer vision solutions. It includes a data labeling platform, a model training platform, and a marketplace for computer vision apps. Supervisely is used by a variety of organizations, including Fortune 500 companies, research institutions, and government agencies.

The 'Awesome AI Guidelines' repository aims to simplify the ecosystem of guidelines, principles, codes of ethics, standards, and regulations around artificial intelligence. It provides a comprehensive collection of resources addressing ethical and societal challenges in AI systems, including high-level frameworks, principles, processes, checklists, interactive tools, industry standards initiatives, online courses, research, and industry newsletters, as well as regulations and policies from various countries. The repository serves as a valuable reference for individuals and teams designing, building, and operating AI systems to navigate the complex landscape of AI ethics and governance.

The 'awesome-mobile-robotics' repository is a curated list of important content related to Mobile Robotics and AI. It includes resources such as courses, books, datasets, software and libraries, podcasts, conferences, journals, companies and jobs, laboratories and research groups, and miscellaneous resources. The repository covers a wide range of topics in the field of Mobile Robotics and AI, providing valuable information for enthusiasts, researchers, and professionals in the domain.

The Chinese LLM Benchmark is a continuous evaluation list of large models in CLiB, covering a wide range of commercial and open-source models from various companies and research institutions. It supports multidimensional evaluation of capabilities including classification, information extraction, reading comprehension, data analysis, Chinese encoding efficiency, and Chinese instruction compliance. The benchmark not only provides capability score rankings but also offers the original output results of all models for interested individuals to score and rank themselves.

Large Language Models (LLM) are language models built by deep neural networks containing hundreds of billions of weights, trained on a large amount of unlabeled text using self-supervised learning methods. Since 2018, companies and research institutions including Google, OpenAI, Meta, Baidu, and Huawei have released various models such as BERT, GPT, etc., which have performed well in almost all natural language processing tasks. Starting in 2021, large models have shown explosive growth, especially after the release of ChatGPT in November 2022, attracting worldwide attention. Users can interact with systems using natural language to achieve various tasks from understanding to generation, including question answering, classification, summarization, translation, and chat. Large language models demonstrate powerful knowledge of the world and understanding of language. This repository introduces the basic theory of large language models including language models, distributed model training, and reinforcement learning, and uses the Deepspeed-Chat framework as an example to introduce the implementation of large language models and ChatGPT-like systems.

Taiyi (太一) is a bilingual large language model fine-tuned for diverse biomedical tasks. It aims to facilitate communication between healthcare professionals and patients, provide medical information, and assist in diagnosis, biomedical knowledge discovery, drug development, and personalized healthcare solutions. The model is based on the Qwen-7B-base model and has been fine-tuned using rich bilingual instruction data. It covers tasks such as question answering, biomedical dialogue, medical report generation, biomedical information extraction, machine translation, title generation, text classification, and text semantic similarity. The project also provides standardized data formats, model training details, model inference guidelines, and overall performance metrics across various BioNLP tasks.

Milvus is an open-source vector database built to power embedding similarity search and AI applications. Milvus makes unstructured data search more accessible, and provides a consistent user experience regardless of the deployment environment. Milvus 2.0 is a cloud-native vector database with storage and computation separated by design. All components in this refactored version of Milvus are stateless to enhance elasticity and flexibility. For more architecture details, see Milvus Architecture Overview. Milvus was released under the open-source Apache License 2.0 in October 2019. It is currently a graduate project under LF AI & Data Foundation.

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This repository aims to promote global equality for individuals pursuing a PhD in NLP by providing resources and information on various aspects of the academic journey. It covers topics such as applying for a PhD, getting research opportunities, preparing for the job market, and succeeding in academia. The repository is actively updated and includes contributions from experts in the field.

Geoweaver is an in-browser software that enables users to easily compose and execute full-stack data processing workflows using online spatial data facilities, high-performance computation platforms, and open-source deep learning libraries. It provides server management, code repository, workflow orchestration software, and history recording capabilities. Users can run it from both local and remote machines. Geoweaver aims to make data processing workflows manageable for non-coder scientists and preserve model run history. It offers features like progress storage, organization, SSH connection to external servers, and a web UI with Python support.

Codefuse-ModelCache is a semantic cache for large language models (LLMs) that aims to optimize services by introducing a caching mechanism. It helps reduce the cost of inference deployment, improve model performance and efficiency, and provide scalable services for large models. The project caches pre-generated model results to reduce response time for similar requests and enhance user experience. It integrates various embedding frameworks and local storage options, offering functionalities like cache-writing, cache-querying, and cache-clearing through RESTful API. The tool supports multi-tenancy, system commands, and multi-turn dialogue, with features for data isolation, database management, and model loading schemes. Future developments include data isolation based on hyperparameters, enhanced system prompt partitioning storage, and more versatile embedding models and similarity evaluation algorithms.

Simplifine is an open-source library designed for easy LLM finetuning, enabling users to perform tasks such as supervised fine tuning, question-answer finetuning, contrastive loss for embedding tasks, multi-label classification finetuning, and more. It provides features like WandB logging, in-built evaluation tools, automated finetuning parameters, and state-of-the-art optimization techniques. The library offers bug fixes, new features, and documentation updates in its latest version. Users can install Simplifine via pip or directly from GitHub. The project welcomes contributors and provides comprehensive documentation and support for users.

Codefuse-ModelCache is a semantic cache for large language models (LLMs) that aims to optimize services by introducing a caching mechanism. It helps reduce the cost of inference deployment, improve model performance and efficiency, and provide scalable services for large models. The project facilitates sharing and exchanging technologies related to large model semantic cache through open-source collaboration.

Puedo asesorar en temas relacionados con calidad en IES (planificación, autoevaluación, acreditación, mejora continua)

Especialista em Geociências no Brasil, usando dados da CAPES.

可以根据所给出的企业合规整改案例，从企业犯罪的内生性结构原因的诊断、制度纠错和专项合规体系构建等三个方面，分析企业合规整改的主要框架，并对合规整改的有效性作出评价。

Hello, Academic Dean. I am your dedicated Academic Dean Assistant, here to support you with all administrative tasks, scheduling, and student queries. Together, we will ensure the academic success and smooth operation of our institution.

Dansk vejledning i outsourcing regler for kreditinstitutter og datacentraler

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