Best AI tools for< Network With Biotech Professionals >

CyberNative AI Social Network is a cutting-edge social network platform that integrates AI technology to enhance user experience and engagement. The platform focuses on topics related to AI, cybersecurity, gaming, science, and technology, providing a space for enthusiasts and professionals to connect, share insights, and stay updated on the latest trends. With a user-friendly interface and advanced AI algorithms, CyberNative AI Social Network offers a unique and interactive environment for users to explore diverse realms of virtual and augmented reality, cybersecurity, quantum computing, gaming, and more.

Vitrina Business Network is a global platform that connects entertainment companies worldwide, facilitating interactions between content acquirers, distributors, production, post-production, and localization services. The platform leverages data, AI, and human expertise to enhance business growth within the entertainment supply chain. Vitrina offers services such as content licensing, specialist services hiring, and networking opportunities for industry professionals. Through digital storefronts, users can showcase projects and services, fostering partnerships and business opportunities. The platform also provides market intelligence reports, case studies, and industry insights to help users make informed decisions and stay updated on the latest trends in the entertainment industry.

LinkedIn is a professional networking site that helps users connect with other professionals in their field, find jobs, and learn new skills. It also provides a platform for users to share articles, insights, and updates on their work and career. LinkedIn is a valuable tool for anyone looking to advance their career or stay up-to-date on the latest industry trends.

Pathfinder is a career co-pilot that helps users connect with others who share similar career experiences, interests, or questions. It uses AI to find the perfect people and career advice for users in seconds. Pathfinder is building the world's first Career Co-pilot that taps into its Career Advice Network. Users can simply describe their career problem, interests, or questions, and the AI will find the perfect people and career advice for them in seconds.

LinkedIn is a professional networking site that helps users connect with other professionals, find jobs, and learn new skills. It is also a platform for businesses to post jobs and find candidates. LinkedIn uses AI to power many of its features, such as its job search algorithm and its personalized content recommendations.

Tech Jobs London is a job board that connects talented individuals with top companies in London's tech industry. The platform provides job opportunities in a range of fields such as software development, data analysis, and network administration.

Commit is a professional network for startup engineers. It features an AI Talent Agent that helps users find and apply to jobs that fit their developer profile. The platform also provides a community for users to connect with other engineers and collaborate on projects.

Podify is an AI-driven platform designed to help users grow their network through micro-communities. The platform leverages artificial intelligence to connect users with like-minded individuals and facilitate meaningful interactions. Users can discover new connections, engage in relevant discussions, and expand their network in a targeted and efficient manner. Podify offers a user-friendly interface and personalized recommendations to enhance the networking experience.

The AI+X Summit is the largest event focusing on AI research, development, and application in the German-speaking part of Switzerland. The event covers various tracks and workshops on topics such as AI in finance, urban mobility, human-centered design, generative AI, responsible AI, AI for science, and more. It aims to bring together industry professionals, startups, academia, and a wider ecosystem to explore the latest advancements in artificial intelligence and its applications across different sectors.

Collective[i] is an AI application that leverages deep learning and AI technology to optimize business operations, specifically focusing on sales forecasting, productivity improvement, and revenue growth. The platform provides automated daily sales forecasts, data cleansing in CRM systems, insights generation for optimal outcomes, and support for community networking. Collective[i] prioritizes enterprise-level security and privacy to ensure the confidentiality and integrity of business information. The AI technology used by Collective[i] aims to automate tasks, enhance decision-making processes, and enhance the overall buying experience for users.

Allganize Japan Blog is an AI tool that provides information and updates about Allganize, a company offering AI solutions for enterprises. The blog covers topics such as AI applications, events, partnerships, and technical explanations related to AI technologies like LLM (Large Language Model). It serves as a platform to showcase the company's products, services, and industry insights.

YC-GPT is an AI-powered mentor designed to assist individuals in growing their startup ventures. It leverages knowledge from Y Combinator (YC) partners and founders to provide valuable advice and guidance. The platform aims to help startups thrive by offering insights and recommendations based on industry expertise.

Radiology Business is an AI tool designed to provide insights and solutions for professionals in the radiology field. The platform covers a wide range of topics including management, imaging, technology, and conferences. It offers news, analysis, and resources to help radiologists stay informed and make informed decisions. Radiology Business aims to leverage artificial intelligence to improve workflow efficiency and enhance the overall experience in the radiology ecosystem.

INMA (International News Media Association) is a global organization that provides news media companies with resources, networking opportunities, and research on the latest trends in the industry. INMA's mission is to help news media companies succeed in the digital age by providing them with the tools and knowledge they need to adapt to the changing landscape. INMA offers a variety of services to its members, including conferences, webinars, reports, and a member directory. INMA also has a number of initiatives focused on specific areas of the news media industry, such as digital subscriptions, product and technology, and newsroom transformation.

Press Ranger is an AI-powered PR tool that makes building media lists and pitching journalists painless. It offers a massive database of over 500,000 journalists and publishers, and uses AI tools to create media lists and run outreach campaigns. Press Ranger also provides real-time analytics to track and optimize PR efforts.

GenAI Summit San Francisco 2024 is an innovative AI tool designed to bring together industry leaders, researchers, and enthusiasts to explore the latest trends and advancements in artificial intelligence. The platform offers a virtual space for networking, knowledge sharing, and collaboration, enabling participants to gain insights into cutting-edge AI technologies and applications. With interactive sessions, keynote speeches, and panel discussions, GenAI Summit fosters a vibrant community of AI professionals and facilitates meaningful connections in the field.

GeekWire is a technology and business news website that covers breaking news, startups, space, sustainability, health, and life sciences. The site provides insights into the latest developments in the tech industry, including coverage of major companies like Amazon and Microsoft. GeekWire also features podcasts, events, and resources for entrepreneurs and investors.

The AI x Marketing Conference is a premier event focused on the intersection of artificial intelligence and marketing. It aims to provide attendees with insights, strategies, and hands-on experience to leverage AI for exponential growth in their businesses. The conference features keynote speakers, workshops, real-life case studies, lightning talks, networking opportunities, and more, all tailored to help participants understand and implement AI tools effectively in their marketing strategies.

WonsultingAI is an AI-powered job search platform that offers a suite of tools to simplify the job search process. It includes features such as ResumeAI for creating professional resumes, CoverLetterAI for generating cover letters, NetworkAI for networking, InterviewAI for interview practice, and AutoApplyAI for automatically applying to jobs. The platform aims to help job seekers from diverse backgrounds by leveraging the power of AI to enhance their job search experience.

WonsultingAI is a suite of AI-powered job search tools designed to help job seekers create professional resumes, auto-apply to jobs, create outstanding cover letters, and get professional messages for networking. The platform includes ResumAI, NetworkAI, CoverLetterAI, AutoApplyAI, and InterviewAI, each designed to address specific aspects of the job search process. WonsultingAI aims to empower job seekers from all backgrounds by providing them with the tools and resources they need to succeed in today's competitive job market.

PINNACLE is a flexible geometric deep learning approach that trains on contextualized protein interaction networks to generate context-aware protein representations. It provides protein representations split across various cell-type contexts from different tissues and organs. The tool can be fine-tuned to study the genomic effects of drugs and nominate promising protein targets and cell-type contexts for further investigation. PINNACLE exemplifies the paradigm of incorporating context-specific effects for studying biological systems, especially the impact of disease and therapeutics.

This repository contains a collection of papers and code for the CVPR 2024 conference. The papers cover a wide range of topics in computer vision, including object detection, image segmentation, image generation, and video analysis. The code provides implementations of the algorithms described in the papers, making it easy for researchers and practitioners to reproduce the results and build upon the work of others. The repository is maintained by a team of researchers at the University of California, Berkeley.

The NZT Poker AI Bot is an advanced tool designed to revolutionize poker gameplay by providing comprehensive features to dominate 17 rooms with the Cash Fish Monitor. It offers detailed analysis of opponents' VPIP and PFR, extensive hand history database, opponent exploitation techniques, data-driven intelligence, player profiles, advanced neural network technology, expert training, continuous refinement, and cutting-edge algorithms for maximizing poker profits. Created by a team of poker experts, this AI tool continuously adapts to the latest poker strategies and utilizes state-of-the-art technology to enhance decision-making prowess.

A bot that plays Tetris using deep reinforcement learning. The agent learns to play by training itself with a neural network and Q Learning algorithm. It explores different 'paths' to achieve higher scores and makes decisions based on predicted scores for possible moves. The game state includes attributes like lines cleared, holes, bumpiness, and total height. The agent is implemented in Python using Keras framework with a deep neural network structure. Training involves a replay queue, random sampling, and optimization techniques. Results show the agent's progress in achieving higher scores over episodes.

AireLibre is a community response to the need for freely, collaboratively, and decentralized air quality information. It includes projects like Red Descentralizada de Aire Libre (ReDAL), Linka, Linka Firmware, LinkaBot, AQmap, and Android/iOS apps. Users can join the network with a sensor communicating with Linka. Materials and tools are needed to build a sensor. The initiative is decentralized and open for community collaboration. Users can extend or add projects to AireLibre. The license allows for creating personal networks. AireLibre is not for professional/industrial/scientific/military use, and the sensors are not calibrated in Switzerland.

This course has 18 lessons. Each lesson covers its own topic so start wherever you like! Lessons are labeled either "Learn" lessons explaining a Generative AI concept or "Build" lessons that explain a concept and code examples in both **Python** and **TypeScript** when possible. Each lesson also includes a "Keep Learning" section with additional learning tools. **What You Need** * Access to the Azure OpenAI Service **OR** OpenAI API - _Only required to complete coding lessons_ * Basic knowledge of Python or Typescript is helpful - *For absolute beginners check out these Python and TypeScript courses. * A Github account to fork this entire repo to your own GitHub account We have created a **Course Setup** lesson to help you with setting up your development environment. Don't forget to star (🌟) this repo to find it easier later. ## 🧠 Ready to Deploy? If you are looking for more advanced code samples, check out our collection of Generative AI Code Samples in both **Python** and **TypeScript**. ## 🗣️ Meet Other Learners, Get Support Join our official AI Discord server to meet and network with other learners taking this course and get support. ## 🚀 Building a Startup? Sign up for Microsoft for Startups Founders Hub to receive **free OpenAI credits** and up to **$150k towards Azure credits to access OpenAI models through Azure OpenAI Services**. ## 🙏 Want to help? Do you have suggestions or found spelling or code errors? Raise an issue or Create a pull request ## 📂 Each lesson includes: * A short video introduction to the topic * A written lesson located in the README * Python and TypeScript code samples supporting Azure OpenAI and OpenAI API * Links to extra resources to continue your learning ## 🗃️ Lessons | | Lesson Link | Description | Additional Learning | | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | | 00 | Course Setup | **Learn:** How to Setup Your Development Environment | Learn More | | 01 | Introduction to Generative AI and LLMs | **Learn:** Understanding what Generative AI is and how Large Language Models (LLMs) work. | Learn More | | 02 | Exploring and comparing different LLMs | **Learn:** How to select the right model for your use case | Learn More | | 03 | Using Generative AI Responsibly | **Learn:** How to build Generative AI Applications responsibly | Learn More | | 04 | Understanding Prompt Engineering Fundamentals | **Learn:** Hands-on Prompt Engineering Best Practices | Learn More | | 05 | Creating Advanced Prompts | **Learn:** How to apply prompt engineering techniques that improve the outcome of your prompts. | Learn More | | 06 | Building Text Generation Applications | **Build:** A text generation app using Azure OpenAI | Learn More | | 07 | Building Chat Applications | **Build:** Techniques for efficiently building and integrating chat applications. | Learn More | | 08 | Building Search Apps Vector Databases | **Build:** A search application that uses Embeddings to search for data. | Learn More | | 09 | Building Image Generation Applications | **Build:** A image generation application | Learn More | | 10 | Building Low Code AI Applications | **Build:** A Generative AI application using Low Code tools | Learn More | | 11 | Integrating External Applications with Function Calling | **Build:** What is function calling and its use cases for applications | Learn More | | 12 | Designing UX for AI Applications | **Learn:** How to apply UX design principles when developing Generative AI Applications | Learn More | | 13 | Securing Your Generative AI Applications | **Learn:** The threats and risks to AI systems and methods to secure these systems. | Learn More | | 14 | The Generative AI Application Lifecycle | **Learn:** The tools and metrics to manage the LLM Lifecycle and LLMOps | Learn More | | 15 | Retrieval Augmented Generation (RAG) and Vector Databases | **Build:** An application using a RAG Framework to retrieve embeddings from a Vector Databases | Learn More | | 16 | Open Source Models and Hugging Face | **Build:** An application using open source models available on Hugging Face | Learn More | | 17 | AI Agents | **Build:** An application using an AI Agent Framework | Learn More | | 18 | Fine-Tuning LLMs | **Learn:** The what, why and how of fine-tuning LLMs | Learn More |

CIFAR-10 Airbench is a project offering fast and stable training baselines for CIFAR-10 dataset, facilitating machine learning research. It provides easily runnable PyTorch scripts for training neural networks with high accuracy levels. The methods used in this project aim to accelerate research on fundamental properties of deep learning. The project includes GPU-accelerated dataloader for custom experiments and trainings, and can be used for data selection and active learning experiments. The training methods provided are faster than standard ResNet training, offering improved performance for research projects.

Deej-A.I. is an advanced machine learning project that aims to revolutionize music recommendation systems by using artificial intelligence to analyze and recommend songs based on their content and characteristics. The project involves scraping playlists from Spotify, creating embeddings of songs, training neural networks to analyze spectrograms, and generating recommendations based on similarities in music features. Deej-A.I. offers a unique approach to music curation, focusing on the 'what' rather than the 'how' of DJing, and providing users with personalized and creative music suggestions.

This repository contains self-trained single image super resolution (SISR) models. The models are trained on various datasets and use different network architectures. They can be used to upscale images by 2x, 4x, or 8x, and can handle various types of degradation, such as JPEG compression, noise, and blur. The models are provided as safetensors files, which can be loaded into a variety of deep learning frameworks, such as PyTorch and TensorFlow. The repository also includes a number of resources, such as examples, results, and a website where you can compare the outputs of different models.

Deep Java Library (DJL) is an open-source, high-level, engine-agnostic Java framework for deep learning. It is designed to be easy to get started with and simple to use for Java developers. DJL provides a native Java development experience and allows users to integrate machine learning and deep learning models with their Java applications. The framework is deep learning engine agnostic, enabling users to switch engines at any point for optimal performance. DJL's ergonomic API interface guides users with best practices to accomplish deep learning tasks, such as running inference and training neural networks.

Minic is a chess engine developed for learning about chess programming and modern C++. It is compatible with CECP and UCI protocols, making it usable in various software. Minic has evolved from a one-file code to a more classic C++ style, incorporating features like evaluation tuning, perft, tests, and more. It has integrated NNUE frameworks from Stockfish and Seer implementations to enhance its strength. Minic is currently ranked among the top engines with an Elo rating around 3400 at CCRL scale.

AIS-catcher: A multi-platform AIS Receiver

AI-For-Beginners is a comprehensive 12-week, 24-lesson curriculum designed by experts at Microsoft to introduce beginners to the world of Artificial Intelligence (AI). The curriculum covers various topics such as Symbolic AI, Neural Networks, Computer Vision, Natural Language Processing, Genetic Algorithms, and Multi-Agent Systems. It includes hands-on lessons, quizzes, and labs using popular frameworks like TensorFlow and PyTorch. The focus is on providing a foundational understanding of AI concepts and principles, making it an ideal starting point for individuals interested in AI.

TaskingAI brings Firebase's simplicity to **AI-native app development**. The platform enables the creation of GPTs-like multi-tenant applications using a wide range of LLMs from various providers. It features distinct, modular functions such as Inference, Retrieval, Assistant, and Tool, seamlessly integrated to enhance the development process. TaskingAI’s cohesive design ensures an efficient, intelligent, and user-friendly experience in AI application development.

LLM4Opt is a collection of references and papers focusing on applying Large Language Models (LLMs) for diverse optimization tasks. The repository includes research papers, tutorials, workshops, competitions, and related collections related to LLMs in optimization. It covers a wide range of topics such as algorithm search, code generation, machine learning, science, industry, and more. The goal is to provide a comprehensive resource for researchers and practitioners interested in leveraging LLMs for optimization tasks.

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

As the Pharma Talent Coach, I specialize in career coaching for the pharmaceutical and biotechnology industries. I offer resume analysis and interview coaching. By Glen Osiemo

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Your guide to niche music and musician connections.

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⚫Una mentora en tecnología que guía a los usuarios en cómo iniciar una carrera en tecnología con consejos y recursos.💻🩷👩🏻

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Expert in professional messaging, cover letters, and CV enhancement.

All-encompassing guide for aspiring entertainers, covering creative and practical aspects.

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Etiquette expert offering advice on manners and proper conduct, in the style of Emily Post.