Best AI tools for< research deep tech trends >

Insight Monk is a deep tech market intelligence platform that provides access to strategic white papers, company profiles, and expert insights on deep tech topics. It offers various membership plans, including a free plan, a personal plan for $99 per month, and an enterprise plan with customized solutions. Insight Monk's features include an AI-powered chatbot for market intelligence prompts, unlimited access to white papers, company profiles, and analyst reports, as well as expert consultations and networking opportunities. Insight Monk is designed to help users stay up-to-date on the latest deep tech trends, identify potential partners and investment opportunities, and make informed decisions about their deep tech strategies.

Techiexpert.com is an AI tool that provides expert views on emerging technologies such as Artificial Intelligence, Internet of Things, Big Data, Cloud Data Analytics, Machine Learning, and Blockchain. The platform offers a wide range of articles, news, and resources related to the latest trends in the tech industry. Users can explore topics like cybersecurity, data science, deep learning, robotics, and more to stay informed and updated on technological advancements.

Engadget is a leading technology news and reviews website that covers the latest gadgets, apps, and trends. It offers in-depth reviews of the latest smartphones, laptops, TVs, and other consumer electronics, as well as news and analysis on the latest developments in the tech industry. Engadget also has a strong focus on AI and robotics, with dedicated sections covering the latest advancements in these fields.

The Economist is a weekly international news and business magazine headquartered in London, England. It was founded in 1843 and is owned by The Economist Group, a privately held British media company. The magazine provides in-depth analysis of current events, global trends, and economic indicators. It also publishes special reports, surveys, and interviews with world leaders and experts.

Tech Xplore is a leading source of science and technology news, covering the latest breakthroughs in research and innovation across a wide range of disciplines, including artificial intelligence, robotics, computer science, and more. The website provides in-depth articles, interviews with experts, and up-to-date information on the latest developments in the field of AI and its applications.

ReadWrite is an award-winning tech website that provides trusted research and expert knowledge on the latest advancements in technology. Since 2003, ReadWrite has helped millions of people understand and solve tech problems, large and small. The website covers a wide range of tech topics, including AI, AR/VR, cryptocurrency, gaming, smartphones, gambling, wearables, and the web. ReadWrite's team of credentialed experts, trained researchers, and devoted community work together to create reliable, comprehensive, and engaging content that helps readers stay informed about the rapidly evolving tech landscape.

Built In LA is an online community for startups and tech companies in Los Angeles. It provides a platform for job seekers to find tech jobs, tech companies to find talent, and tech enthusiasts to stay up-to-date on the latest news and events in the LA tech scene.

Juan Beltrán is a website that offers AI applications and consulting services. The website provides a range of AI tools, including a LinkedIn lead generation tool, a LinkedIn profile optimizer, and a lead researcher tool. The website also offers a blog with articles on AI business transformation, AI use cases, and AI in the workplace. The website is designed to help businesses unlock the potential of AI and achieve exponential growth.

SpeedLegal is a technological startup that uses Machine Learning technology (specifically Deep Learning, LLMs and genAI) to highlight the terms and the key risks of any contract. We analyze your documents and send you a simplified report so you can make a more informed decision before signing your name on the dotted line.

PyTorch is an open-source machine learning library based on the Torch library. It is used for applications such as computer vision, natural language processing, and reinforcement learning. PyTorch is known for its flexibility and ease of use, making it a popular choice for researchers and developers in the field of artificial intelligence.

Victor Dibia is an expert in Applied Machine Learning and HCI. He is currently a Principal Research Software Engineer at the Human-AI eXperiences (HAX) team, Microsoft Research where he focuses on Generative AI. His research interests are at the intersection of human-computer interaction (HCI), computational social science, and applied machine learning. His research has been published at conferences such as ACL, EMNLP, AAAI, and CHI and has received multiple best paper awards. His work has also been featured in outlets such as the Wall Street Journal and VentureBeat. He is an IEEE Senior member, a Google Certified Professional (Data Engineer, Cloud Architect), and currently a Google Developer Expert in Machine Learning. He holds a PhD in Information Systems from City University of Hong Kong (recipient of the HKPFS scholar award by the Hong Kong Research Grants Council). His dissertation studied developer contribution behavior in software crowdsourcing contests - factors influencing participation, the impact of incentives on participation behavior, and the problem-solving process within crowdsourcing contests. Prior to City University, he studied at the Information Networking Institute at Carnegie Mellon University where he earned a Master's degree in Information Networking. He previously worked as a Principal Research Engineer at Cloudera Fast Forward Labs, Research Staff Member at IBM Research, Technical Lead for MIT Global Startup Labs, Researcher at the Innovation Management Lab, Athens Information Technology Athens Greece, and founder/lead developer for a small startup focused on West African markets.

Apache MXNet is a flexible and efficient deep learning library designed for research, prototyping, and production. It features a hybrid front-end that seamlessly transitions between imperative and symbolic modes, enabling both flexibility and speed. MXNet also supports distributed training and performance optimization through Parameter Server and Horovod. With bindings for multiple languages, including Python, Scala, Julia, Clojure, Java, C++, R, and Perl, MXNet offers wide accessibility. Additionally, it boasts a thriving ecosystem of tools and libraries that extend its capabilities in computer vision, NLP, time series, and more.

Keras is an open-source deep learning API written in Python, designed to make building and training deep learning models easier. It provides a user-friendly interface and a wide range of features and tools to help developers create and deploy machine learning applications. Keras is compatible with multiple frameworks, including TensorFlow, Theano, and CNTK, and can be used for a variety of tasks, including image classification, natural language processing, and time series analysis.

The Google Research Blog is a platform for researchers at Google to share their latest work in artificial intelligence, machine learning, and other related fields. The blog covers a wide range of topics, from theoretical research to practical applications. The goal of the blog is to provide a forum for researchers to share their ideas and findings, and to foster collaboration between researchers at Google and around the world.

Google Research is a team of scientists and engineers working on a wide range of topics in computer science, including artificial intelligence, machine learning, and quantum computing. Our mission is to advance the state of the art in these fields and to develop new technologies that can benefit society. We publish hundreds of research papers each year and collaborate with researchers from around the world. Our work has led to the development of many new products and services, including Google Search, Google Translate, and Google Maps.

Athina AI is a platform that provides research and guides for building safe and reliable AI products. It helps thousands of AI engineers in building safer products by offering tutorials, research papers, and evaluation techniques related to large language models. The platform focuses on safety, prompt engineering, hallucinations, and evaluation of AI models.

Meta's AI research blog provides insights into the company's latest advancements in artificial intelligence, including natural language processing, computer vision, and generative AI. The blog features articles on research projects, technical breakthroughs, and the application of AI in various fields. It also includes resources for developers and researchers, such as open-source tools and datasets.

User Evaluation is an AI-powered insights and analysis tool that helps businesses understand their customers better. With User Evaluation, businesses can quickly and easily gain insights from their customer data, including audio, video, text, and CSV files. User Evaluation's AI-powered features make it easy to transcribe content, generate insights, extract key information, and visualize data. User Evaluation also offers a variety of integrations with popular apps, making it easy to unify your tools and teams.

ThirdAI is an AI application that aims to make sophisticated large language models (LLMs) and cutting-edge AI technologies accessible to everyone. It offers an enterprise-grade full-stack AI solution with AI capability across organizations, air-gapped security, and cost efficiency. The application enables users to perform tasks such as document intelligence, customer experience enhancement, generative AI, sentiment analysis, and information retrieval. ThirdAI democratizes AI by training models on commodity hardware with ultra-low latency inference.

Runway is a platform that provides tools and resources for artists and researchers to create and explore artificial intelligence-powered creative applications. The platform includes a library of pre-trained models, a set of tools for building and training custom models, and a community of users who share their work and collaborate on projects. Runway's mission is to make AI more accessible and understandable, and to empower artists and researchers to create new and innovative forms of creative expression.

Learn Cloud Applied Generative AI Engineering (GenEng) is a course focusing on the application of generative AI technologies in various industries. The course covers topics such as the economic impact of generative AI, the role of developers in adopting and integrating generative AI technologies, and the future trends in generative AI. Students will learn about tools like OpenAI API, LangChain, and Pinecone, and how to build and deploy Large Language Models (LLMs) for different applications. The course also explores the convergence of generative AI with Web 3.0 and its potential implications for decentralized intelligence.

The 'nlp-llms-resources' repository is a comprehensive resource list for Natural Language Processing (NLP) and Large Language Models (LLMs). It covers a wide range of topics including traditional NLP datasets, data acquisition, libraries for NLP, neural networks, sentiment analysis, optical character recognition, information extraction, semantics, topic modeling, multilingual NLP, domain-specific LLMs, vector databases, ethics, costing, books, courses, surveys, aggregators, newsletters, papers, conferences, and societies. The repository provides valuable information and resources for individuals interested in NLP and LLMs.

SWIFT (Scalable lightWeight Infrastructure for Fine-Tuning) supports training, inference, evaluation and deployment of nearly **200 LLMs and MLLMs** (multimodal large models). Developers can directly apply our framework to their own research and production environments to realize the complete workflow from model training and evaluation to application. In addition to supporting the lightweight training solutions provided by [PEFT](https://github.com/huggingface/peft), we also provide a complete **Adapters library** to support the latest training techniques such as NEFTune, LoRA+, LLaMA-PRO, etc. This adapter library can be used directly in your own custom workflow without our training scripts. To facilitate use by users unfamiliar with deep learning, we provide a Gradio web-ui for controlling training and inference, as well as accompanying deep learning courses and best practices for beginners. Additionally, we are expanding capabilities for other modalities. Currently, we support full-parameter training and LoRA training for AnimateDiff.

Awesome-AISourceHub is a repository that collects high-quality information sources in the field of AI technology. It serves as a synchronized source of information to avoid information gaps and information silos. The repository aims to provide valuable resources for individuals such as AI book authors, enterprise decision-makers, and tool developers who frequently use Twitter to share insights and updates related to AI advancements. The platform emphasizes the importance of accessing information closer to the source for better quality content. Users can contribute their own high-quality information sources to the repository by following specific steps outlined in the contribution guidelines. The repository covers various platforms such as Twitter, public accounts, knowledge planets, podcasts, blogs, websites, YouTube channels, and more, offering a comprehensive collection of AI-related resources for individuals interested in staying updated with the latest trends and developments in the AI field.

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.

A curated list of Generative AI projects, tools, artworks, and models

Awesome-AIGC-3D is a curated list of awesome AIGC 3D papers, inspired by awesome-NeRF. It aims to provide a comprehensive overview of the state-of-the-art in AIGC 3D, including papers on text-to-3D generation, 3D scene generation, human avatar generation, and dynamic 3D generation. The repository also includes a list of benchmarks and datasets, talks, companies, and implementations related to AIGC 3D. The description is less than 400 words and provides a concise overview of the repository's content and purpose.

LLM-PowerHouse is a comprehensive and curated guide designed to empower developers, researchers, and enthusiasts to harness the true capabilities of Large Language Models (LLMs) and build intelligent applications that push the boundaries of natural language understanding. This GitHub repository provides in-depth articles, codebase mastery, LLM PlayLab, and resources for cost analysis and network visualization. It covers various aspects of LLMs, including NLP, models, training, evaluation metrics, open LLMs, and more. The repository also includes a collection of code examples and tutorials to help users build and deploy LLM-based applications.

ChatGPT is a large language model that can generate human-like text, translate languages, write different kinds of creative content, and answer your questions in a conversational way. It is trained on a massive amount of text data, and it is able to understand and respond to a wide range of natural language prompts. Here are 5 jobs suitable for this tool, in lowercase letters: 1. content writer 2. chatbot assistant 3. language translator 4. creative writer 5. researcher

This repository does not provide a tool, but rather a collection of resources and strategies for academics in the field of artificial intelligence who are feeling depressed or overwhelmed by the rapid advancements in the field. The resources include articles, blog posts, and other materials that offer advice on how to cope with the challenges of working in a fast-paced and competitive environment.

This repository contains information about various IT seminars and developer conferences in South Korea, allowing users to watch replays of past events. It covers a wide range of topics such as AI, big data, cloud, infrastructure, devops, blockchain, mobility, games, security, mobile development, frontend, programming languages, open source, education, and community events. Users can explore upcoming and past events, view related YouTube channels, and access additional resources like free programming ebooks and data structures and algorithms tutorials.

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.

AiTreasureBox is a versatile AI tool that provides a collection of pre-trained models and algorithms for various machine learning tasks. It simplifies the process of implementing AI solutions by offering ready-to-use components that can be easily integrated into projects. With AiTreasureBox, users can quickly prototype and deploy AI applications without the need for extensive knowledge in machine learning or deep learning. The tool covers a wide range of tasks such as image classification, text generation, sentiment analysis, object detection, and more. It is designed to be user-friendly and accessible to both beginners and experienced developers, making AI development more efficient and accessible to a wider audience.

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.

A senior technical broker with deep knowledge of global tech developments.

AI news aggregator from top tech sources

Multifaceted AI expert & Innovator, modelled after Ayuba Daniel La'ah

I specialize in thorough online research and synthesis.

Deep learning researcher explaining Google Gemini from PDFs.

Guiding you through the depths of deep learning with accuracy and respect.

A learning facilitator specializing in in-depth exploration of topics.

Deep reading assistant for '无穷的开始'

Deep Dive Into Any Topic

AGI with deep understanding and creative problem-solving.

A deep state agent with an understanding of intelligence operations.

Uncovering evidence of government manipulation.

Deep Dive into math & ML, generating guides, with explanations and python exercises

Ultimate guide on Logic

Enhanced assistant with access to Ikangai RSS Feed, Content API, and deep knowledge integration.

Embark on a journey into 《Frankenstein; Or, The Modern Prometheus》. Ready for a deep dive into life's philosophies? Let's go!🎯

Deep, insightful encyclopedia on automobiles, rich in facts, history, and culture.

Your AI research aide for the latest in ML.

Delving deep into classical music lore, past and present.

Dive deep into any subject. Instantly generate 100+ page books about anything.