Best AI tools for< Treat Cancer >

Lunit Inc. is a leading provider of AI-powered cancer screening and treatment solutions. The company's mission is to conquer cancer through AI by developing innovative technologies that can help detect and treat cancer earlier and more effectively. Lunit's AI solutions are used by hospitals and clinics around the world to improve the accuracy and efficiency of cancer diagnosis and treatment.

Accuray Incorporated is a radiation oncology company that develops, manufactures, and sells radiation therapy systems and software for the treatment of cancer. Accuray's products are used by radiation oncologists to deliver precise and effective radiation therapy treatments to patients with a variety of cancers, including prostate cancer, breast cancer, lung cancer, and brain cancer. Accuray's mission is to expand the curative power of radiation therapy to improve as many lives as possible.

Viz.ai is an AI-powered care coordination platform that helps providers improve patient outcomes. The platform uses advanced algorithms to analyze medical imaging data and provide real-time insights and automated assessments to accelerate diagnosis and treatment. Viz.ai's solutions are used by hospitals and health systems across the country to improve care for patients with a variety of conditions, including stroke, heart disease, and cancer.

PMcardio is an AI-powered ECG interpretation platform that offers accurate diagnosis of cardiovascular diseases within seconds. It provides rapid referral to specialists, detects occlusion myocardial infarction, and identifies reduced left ventricular ejection fraction from 12-lead ECGs. PMcardio enhances clinical decision-making, standardizes ECG reports, and ensures data security. The platform is designed for both individuals and organizations in the healthcare sector, offering seamless coordination and high accuracy in diagnostics.

Global Threat is an AI-driven platform that specializes in identifying and monitoring global, regional, and local threats in real-time. The platform utilizes artificial intelligence to continuously analyze a wide range of data sources worldwide, providing users with actionable intelligence to stay ahead of potential risks. It empowers governments, organizations, and security teams by delivering comprehensive insights into evolving threats through advanced data analytics, machine learning algorithms, and predictive modeling. Global Threat aims to revolutionize security intelligence by offering data-driven decision-making, informed responses, and timely actions for a safer and smarter world.

MixMode is the world's most advanced AI for threat detection, offering a dynamic threat detection platform that utilizes patented Third Wave AI technology. It provides real-time detection of known and novel attacks with high precision, self-supervised learning capabilities, and context-awareness to defend against modern threats. MixMode empowers modern enterprises with unprecedented speed and scale in threat detection, delivering unrivaled capabilities without the need for predefined rules or human input. The platform is trusted by top security teams and offers rapid deployment, customization to individual network dynamics, and state-of-the-art AI-driven threat detection.

Fletch is the world's first cyber threat AI application that helps users stay ahead of cyber threats by automating busywork with AI agents. It continuously trends the threat landscape, forecasts impact, prioritizes alerts, generates tailored advice, and provides daily proactive insights to guide users in defending against threats. Fletch filters and prioritizes alerts, uncovers weaknesses in SaaS supply chains, and offers timely tactical advice to act fast in critical moments. The application also assists in articulating threat messages and provides instant answers through AskFletch chat. Fletch integrates with existing tools, simplifying users' lives and offering hands-on guidance for businesses of all sizes.

Quantifind is an AI-powered financial crimes automation platform that specializes in Anti-Money Laundering (AML) and Know Your Customer (KYC) solutions. It offers end-to-end automation impact, best-in-class accuracy, and powerful APIs and applications for risk screening, investigations, and compliance in the financial services and public sector industries. Quantifind's Graphyte platform leverages AI and external data to streamline AML-KYC processes, providing comprehensive data coverage, dynamic risk typologies, and seamless integrations with case management systems.

Bodyguard.ai is an AI-powered social media monitoring and moderation solution that helps create a safe and dynamic online community. It safeguards brand reputation, protects revenue streams, and ensures safety, inclusivity, and seamless management of online spaces. With advanced AI technology, Bodyguard excels in threat monitoring, community protection, and audience understanding, making it a trusted shield for businesses across various industries.

OpenBuckets is a web application designed to help users find and secure open buckets in cloud storage systems. It provides a user-friendly interface for scanning and identifying publicly accessible buckets, allowing users to take necessary actions to secure their data. With OpenBuckets, users can easily detect misconfigured buckets and prevent potential data breaches. The application offers a simple yet effective solution for enhancing cloud security and protecting sensitive information stored in cloud storage platforms.

Vectra AI is a leading AI security platform that helps organizations stop advanced cyber attacks by providing an integrated signal for extended detection and response (XDR). The platform arms security analysts with real-time intelligence to detect, prioritize, investigate, and respond to threats across network, identity, cloud, and managed services. Vectra AI's AI-driven detections and Attack Signal Intelligence enable organizations to protect against various attack types and emerging threats, enhancing cyber resilience and reducing risks in critical infrastructure, cloud environments, and remote workforce scenarios. Trusted by over 1100 enterprises worldwide, Vectra AI is recognized for its expertise in AI security and its ability to stop sophisticated attacks that other technologies may miss.

Vectra AI is an advanced AI-driven cybersecurity platform that helps organizations detect, prioritize, investigate, and respond to sophisticated cyber threats in real-time. The platform provides Attack Signal Intelligence to arm security analysts with the necessary intel to stop attacks fast. Vectra AI offers integrated signal for extended detection and response (XDR) across various domains such as network, identity, cloud, and endpoint security. Trusted by 1,500 enterprises worldwide, Vectra AI is known for its patented AI security solutions that deliver the best attack signal intelligence on the planet.

VIDOC is an AI-powered security engineer that automates code review and penetration testing. It continuously scans and reviews code to detect and fix security issues, helping developers deliver secure software faster. VIDOC is easy to use, requiring only two lines of code to be added to a GitHub Actions workflow. It then takes care of the rest, providing developers with a tailored code solution to fix any issues found.

Ambient.ai is an AI-powered application that revolutionizes physical security by leveraging computer vision intelligence. The platform helps organizations transition from reactive to proactive security measures by automating tasks, detecting threats, and providing real-time alerts. Ambient.ai does not use facial recognition technology, prioritizing individual privacy while enhancing group security. The application is designed to adapt to evolving risk landscapes and identify emerging security incidents through behavior analysis and location context.

Traceable is an intelligent API security platform designed for enterprise-scale security. It offers unmatched API discovery, attack detection, threat hunting, and infinite scalability. The platform provides comprehensive protection against API attacks, fraud, and bot security, along with API testing capabilities. Powered by Traceable's OmniTrace Engine, it ensures unparalleled security outcomes, remediation, and pre-production testing. Security teams trust Traceable for its speed and effectiveness in protecting API infrastructures.

Exabeam is a cybersecurity and compliance platform that offers Security Information and Event Management (SIEM) solutions. The platform provides flexible choices for threat detection, investigation, and response, whether through cloud-based AI-driven solutions or on-premises SIEM deployments. Exabeam's AI-driven Security Operations Platform combines advanced threat detection capabilities with automation to deliver faster and more accurate TDIR. With features like UEBA, SOAR, and insider threat detection, Exabeam helps organizations improve security posture and optimize investments. The platform supports various industries and use cases, offering pre-built content, behavioral analytics, and context enrichment for enhanced threat coverage and compliance.

Lakera is the world's most advanced AI security platform that offers cutting-edge solutions to safeguard GenAI applications against various security threats. Lakera provides real-time security controls, stress-testing for AI systems, and protection against prompt attacks, data loss, and insecure content. The platform is powered by a proprietary AI threat database and aligns with global AI security frameworks to ensure top-notch security standards. Lakera is suitable for security teams, product teams, and LLM builders looking to secure their AI applications effectively and efficiently.

CensysGPT Beta is a tool that simplifies building queries and empowers users to conduct efficient and effective reconnaissance operations. It enables users to quickly and easily gain insights into hosts on the internet, streamlining the process and allowing for more proactive threat hunting and exposure management.

CrowdStrike is a cloud-based cybersecurity platform that provides endpoint protection, threat intelligence, and incident response services. It uses artificial intelligence (AI) to detect and prevent cyberattacks. CrowdStrike's platform is designed to be scalable and easy to use, and it can be deployed on-premises or in the cloud. CrowdStrike has a global customer base of over 23,000 organizations, including many Fortune 500 companies.

Stellar Cyber is an AI-driven unified security operations platform powered by Open XDR. It offers a single platform with NG-SIEM, NDR, and Open XDR, providing security capabilities to take control of security operations. The platform helps organizations detect, correlate, and respond to threats fast using AI technology. Stellar Cyber is designed to protect the entire attack surface, improve security operations performance, and reduce costs while simplifying security operations.

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

KG-LLM-Papers is a repository that collects papers integrating knowledge graphs (KGs) and large language models (LLMs). It serves as a comprehensive resource for research on the role of KGs in the era of LLMs, covering surveys, methods, and resources related to this integration.

sd-civitai-browser-plus is an extension designed for Automatic1111's Stable Difussion Web UI, providing features to browse models from CivitAI, check for updates, download specific model versions hassle-free, assign tags to models, access model info quickly, and download models with high-speed using Aria2. The extension offers a sleek and intuitive user interface, actively maintained with feature requests welcome. It also addresses known issues like frozen downloads with possible solutions. The tool is actively developed with regular updates and bug fixes, ensuring a smooth user experience.

Academic_LLM_Sec_Papers is a curated collection of academic papers related to LLM Security Application. The repository includes papers sorted by conference name and published year, covering topics such as large language models for blockchain security, software engineering, machine learning, and more. Developers and researchers are welcome to contribute additional published papers to the list. The repository also provides information on listed conferences and journals related to security, networking, software engineering, and cryptography. The papers cover a wide range of topics including privacy risks, ethical concerns, vulnerabilities, threat modeling, code analysis, fuzzing, and more.

last_layer is a security library designed to protect LLM applications from prompt injection attacks, jailbreaks, and exploits. It acts as a robust filtering layer to scrutinize prompts before they are processed by LLMs, ensuring that only safe and appropriate content is allowed through. The tool offers ultra-fast scanning with low latency, privacy-focused operation without tracking or network calls, compatibility with serverless platforms, advanced threat detection mechanisms, and regular updates to adapt to evolving security challenges. It significantly reduces the risk of prompt-based attacks and exploits but cannot guarantee complete protection against all possible threats.

Tracecat is an open-source automation platform for security teams. It's designed to be simple but powerful, with a focus on AI features and a practitioner-obsessed UI/UX. Tracecat can be used to automate a variety of tasks, including phishing email investigation, evidence collection, and remediation plan generation.

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)

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

AIShield Watchtower is a tool designed to fortify the security of AI/ML models and Jupyter notebooks by automating model and notebook discoveries, conducting vulnerability scans, and categorizing risks into 'low,' 'medium,' 'high,' and 'critical' levels. It supports scanning of public GitHub repositories, Hugging Face repositories, AWS S3 buckets, and local systems. The tool generates comprehensive reports, offers a user-friendly interface, and aligns with industry standards like OWASP, MITRE, and CWE. It aims to address the security blind spots surrounding Jupyter notebooks and AI models, providing organizations with a tailored approach to enhancing their security efforts.

This repository contains a comprehensive collection of 63 must-know Large Language Models (LLMs) interview questions. It covers topics such as the architecture of LLMs, transformer models, attention mechanisms, training processes, encoder-decoder frameworks, differences between LLMs and traditional statistical language models, handling context and long-term dependencies, transformers for parallelization, applications of LLMs, sentiment analysis, language translation, conversation AI, chatbots, and more. The readme provides detailed explanations, code examples, and insights into utilizing LLMs for various tasks.

Time-LLM is a reprogramming framework that repurposes large language models (LLMs) for time series forecasting. It allows users to treat time series analysis as a 'language task' and effectively leverage pre-trained LLMs for forecasting. The framework involves reprogramming time series data into text representations and providing declarative prompts to guide the LLM reasoning process. Time-LLM supports various backbone models such as Llama-7B, GPT-2, and BERT, offering flexibility in model selection. The tool provides a general framework for repurposing language models for time series forecasting tasks.

The fsdp_qlora repository provides a script for training Large Language Models (LLMs) with Quantized LoRA and Fully Sharded Data Parallelism (FSDP). It integrates FSDP+QLoRA into the Axolotl platform and offers installation instructions for dependencies like llama-recipes, fastcore, and PyTorch. Users can finetune Llama-2 70B on Dual 24GB GPUs using the provided command. The script supports various training options including full params fine-tuning, LoRA fine-tuning, custom LoRA fine-tuning, quantized LoRA fine-tuning, and more. It also discusses low memory loading, mixed precision training, and comparisons to existing trainers. The repository addresses limitations and provides examples for training with different configurations, including BnB QLoRA and HQQ QLoRA. Additionally, it offers SLURM training support and instructions for adding support for a new model.

The Ramalama project simplifies working with AI by utilizing OCI containers. It automatically detects GPU support, pulls necessary software in a container, and runs AI models. Users can list, pull, run, and serve models easily. The tool aims to support various GPUs and platforms in the future, making AI setup hassle-free.

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