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Sexiest podcast on the planet was created by Jasmine J and Jello two best friends from Kansas City that can find the sexy in anything (within reason). Kinks, fetishes, and fantasies we address real challenges and even find the funny in them. Blop is our big bowl of black culture and pop culture news. Any where from hip-hop to history to current events, to greasing scalps, black people are in it, we made it, we call it blop because there simply is no way to define us! We do it all and we cele ...
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An educational cannabis podcast for burners by burners! Help stomp the stigma by learning about cannabis for both medical and recreational use. Let's put the War on Drugs to sleep by learning the truth about a plant that is fascinating, useful, natural, and on it's way to your living room...if it's not already there. Mr and Mrs Weedman get down to the nitty gritty truth with cannabis news from around the world, research articles, the latest data on consumer usage and the latest products hitt ...
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Welcome to "The AI Chronicles", the podcast that takes you on a journey into the fascinating world of Artificial Intelligence (AI), AGI, GPT-5, GPT-4, Deep Learning, and Machine Learning. In this era of rapid technological advancement, AI has emerged as a transformative force, revolutionizing industries and shaping the way we interact with technology. I'm your host, GPT-5, and I invite you to join me as we delve into the cutting-edge developments, breakthroughs, and ethical implications of A ...
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Necessary Blackness is a widely popular podcast by award winning journalist and filmmaker Rahiem Shabazz. Necessary Blackness Podcast is for those who are unapologetic in showing their appreciation and love for black culture and people.
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PUFF (Probabilistic User Function Framework): Enhancing Medical Diagnosis with Probabilistic Reasoning
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PUFF (Probabilistic User Function Framework), is a pioneering medical expert system developed to support the diagnosis and management of pulmonary diseases. Designed in the 1970s at Stanford University, PUFF utilizes probabilistic reasoning to analyze patient data and assess the likelihood of respiratory conditions such as asthma, chronic obstructi…
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CLIPS (C Language Integrated Production System): A Versatile Tool for Building Expert Systems
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CLIPS (C Language Integrated Production System), is a powerful and flexible tool for developing rule-based expert systems. Developed in the 1980s by NASA at the Johnson Space Center, CLIPS was designed to enable the creation of AI-driven applications that could support decision-making, problem-solving, and data analysis across various fields. CLIPS…
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Send us a text What is up, all you Gardeners! Mr Weedman and Big Earl have a great show for you. Together they enjoy some fresh bud from Earl's garden, puffing on Fir OG, a cross of Nightmare OG x Peach Stank. From there, they dive into Growing for Weight, covering all the ways to maximize your grow for big ol' buds and overall success. Big Earl br…
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Economic and Business Expert Systems: Transforming Decision-Making with CLIPS, Drools, and ZAK
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Economic and business expert systems are specialized AI applications designed to support decision-making, optimize operations, and enhance strategic planning in corporate and economic settings. Systems like CLIPS, Drools, and ZAK enable businesses to harness expert-level reasoning by automating complex problem-solving tasks, analyzing data, and pro…
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Send us a text Yo, yo, yo...what's up all you Vipers! Mr & Mrs Weedman are getting normal with some fresh flower - Fir OG from their friend Big Earl's garden. After a great sesh they get right into it, dropping cannabis news from all around our big world, along with research & hot topics. They talk about the US presidential election, focusing on st…
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MYCIN is one of the earliest and most influential medical expert systems, designed in the 1970s to assist doctors in diagnosing and treating bacterial infections, particularly blood infections (septicemia) and meningitis. Developed at Stanford University, MYCIN was groundbreaking in its use of AI-driven rule-based logic to replicate the decision-ma…
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INTERNIST is one of the earliest medical expert systems developed to assist in diagnosing complex diseases within internal medicine. Created in the 1970s at the University of Pittsburgh, INTERNIST was designed to emulate the diagnostic reasoning of a skilled internist by drawing on a vast knowledge base of diseases and symptoms. Focused on helping …
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CASNET, or Causal Associational Network, is a pioneering expert system developed to assist in medical diagnosis by using causal relationships between symptoms, diseases, and treatments. Originally designed in the late 1960s for diagnosing and managing eye diseases, particularly glaucoma, CASNET was one of the earliest attempts to formalize medical …
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CADUCEUS is one of the earliest and most influential medical expert systems, designed to assist clinicians in diagnosing complex medical conditions. Developed in the 1980s, CADUCEUS was created to emulate the diagnostic reasoning of skilled physicians, providing clinicians with evidence-based insights to aid in patient assessment. With its vast med…
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Medical expert systems are specialized artificial intelligence (AI) tools designed to assist healthcare professionals in diagnosing diseases, recommending treatments, and managing patient care. By leveraging extensive medical knowledge and using advanced reasoning algorithms, these systems emulate the decision-making abilities of experienced clinic…
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The Semi-Automatic Ground Environment (SAGE) was a groundbreaking air defense system developed by the United States during the Cold War to protect against potential Soviet air attacks. Built in the 1950s, SAGE was one of the most ambitious technological projects of its time, combining advanced radar, communication, and computing systems to provide …
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Send us a text What's up all you burners, stoners and potheads! Mr and Mrs Weedman get normal with some fresh GG4 bud from their friend Matty G. Then they deliver loads of the latest cannabis news and information from the Chicagoland market and beyond. Mr Weedman has some great topics to share with all of you, like the science behind CBD oil's heal…
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The RETE algorithm is a highly efficient pattern-matching algorithm designed to optimize rule-based systems, especially those requiring rapid decision-making and complex logical reasoning. Developed by Charles Forgy in the late 1970s, the RETE algorithm revolutionized the way expert systems handle large sets of rules by minimizing redundant evaluat…
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DRAMA (Decision Representation and Adaptive Management Algorithm): An AI Framework for Dynamic Decision-Making
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DRAMA, or the Decision Representation and Adaptive Management Algorithm, is an advanced AI-based framework designed to support adaptive decision-making in complex and rapidly changing environments. Developed to help organizations and systems manage uncertainty, DRAMA combines data analysis, predictive modeling, and adaptive control techniques to of…
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Military and Security-Relevant Expert Systems: Enhancing Decision-Making in Defense and Security
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Military and security-relevant expert systems are advanced AI-driven tools designed to support decision-making, analysis, and operational effectiveness in defense and security contexts. These systems leverage vast stores of knowledge, advanced algorithms, and real-time data to provide actionable intelligence, enabling faster, more informed decision…
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SMARTS (System for Management, Analysis, and Retrieval of Textual Structures): Advancing Information Retrieval
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SMARTS, short for System for Management, Analysis, and Retrieval of Textual Structures, is a sophisticated information retrieval system designed to manage and analyze large volumes of textual data. Developed to address the growing need for efficient data retrieval in a world inundated with information, SMARTS enables users to locate relevant text-b…
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PROSPECTOR is a landmark expert system developed in the 1970s to assist geologists in identifying promising mineral deposits. Created as one of the earliest AI-powered systems for industrial applications, PROSPECTOR used encoded geological knowledge and reasoning algorithms to analyze geological data and assess the likelihood of mineral presence. I…
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DENDRAL is one of the earliest and most influential expert systems in the history of artificial intelligence (AI), developed in the 1960s at Stanford University. Designed to assist chemists in identifying the molecular structure of organic compounds, DENDRAL was groundbreaking in its ability to emulate the problem-solving strategies of human expert…
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Scientific expert systems are specialized AI-driven platforms designed to assist researchers and scientists in solving complex problems by emulating the decision-making capabilities of human experts. These systems leverage vast repositories of scientific knowledge and apply rule-based reasoning, machine learning, and other AI techniques to analyze …
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Send us a text Yo, yo, yo what's up all you burners, stoners and potheads! Mr & Mrs Weedman are getting normal, puffing on Purple Cherry Ripple from their friends at Legacy. Mr Weedman is delivering some cannabis 101, he shares more insight on using hemp derived CBD to treat cannabis use disorder, and he shares loads of cannabis news and hot topics…
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Unlock the secrets of the Expert System for Automatic Classification and Tracking (EXACT) and discover how it's changing the landscape of scientific research. EXACT combines rule-based systems with cutting-edge machine learning to automate data analysis, freeing researchers to concentrate on groundbreaking discoveries. Schneppat AI's revolutionary …
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AI-SHOP is an expert system designed to transform the way automated planning is approached in complex environments. As part of the broader development of artificial intelligence, AI-SHOP focuses on using rule-based logic and heuristic algorithms to tackle intricate planning tasks. Whether it’s scheduling, resource allocation, or workflow management…
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PEACE (Prognosis, Evaluation, and Adaptive Control Expert): Enhancing System Monitoring and Maintenance
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PEACE (Prognosis, Evaluation, and Adaptive Control Expert) is an advanced expert system developed to monitor, diagnose, and control complex systems, particularly in industrial and technical environments. As industries grow increasingly dependent on sophisticated machinery and interconnected systems, the need for intelligent, automated monitoring so…
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Send us a text Hey, hey all you gardeners! Before they jump into their conversation with @Odo_Glass, the trio gets normal toking on fantastic flower from Earl's garden. Big Earl's enjoying his own Stanky Glue #10 & a lil' Sour Strawberry, Odo is toking on Drunk Rider #23 and Weedman is enjoying some Peachy Keen. They're stoked to finally bring you …
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BORG is an advanced expert system designed to enhance decision-making processes in complex, data-rich environments. Developed as part of AI's growing role in optimizing industrial and technical systems, BORG uses sophisticated algorithms and rule-based logic to analyze vast amounts of data and recommend optimal decisions. Originally conceived to ad…
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XCON, short for eXpert CONfigurer, is one of the most famous early expert systems developed in the field of artificial intelligence (AI). Created in the late 1970s by John McDermott and his team at Carnegie Mellon University, XCON was designed to assist in the complex process of configuring computer systems for Digital Equipment Corporation (DEC). …
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Technical and industrial expert systems are a class of artificial intelligence (AI) systems designed to replicate the decision-making abilities of human experts in specific technical or industrial domains. These systems leverage specialized knowledge, encoded in the form of rules or models, to provide solutions to complex problems that traditionall…
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Send us a text Hey all you burners, stoners and potheads! Mr and Mrs Weedman are getting normal, toking on some LA Wedding Pop from @RalphWiley. Mr Weedman shares the latest cannabis news from IL all the way to Spain, Poland, Canada and beyond. He also talks about music with cannabis and how the combo enhances your enjoyment, along with the latest …
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Brownian motion is a fundamental concept in physics and mathematics, describing the random movement of microscopic particles suspended in a fluid (liquid or gas). First observed by botanist Robert Brown in 1827, this seemingly erratic motion puzzled scientists for decades until it was mathematically explained by Albert Einstein in 1905. Brownian mo…
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A stochastic process is a mathematical framework used to describe systems or phenomena that evolve over time in a probabilistic manner. Unlike deterministic systems, where the future state is fully determined by initial conditions, stochastic processes account for randomness and uncertainty in their development. These processes are essential for mo…
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The Cox Proportional-Hazards Model is a widely used statistical tool in survival analysis, offering a way to investigate the relationship between the survival time of individuals and one or more predictor variables. Developed by Sir David Cox in 1972, this model is particularly useful for analyzing time-to-event data, where the goal is to understan…
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Time series analysis is a critical method in statistics and data science for examining data points collected or recorded at specific time intervals. This approach is used to identify underlying patterns, trends, and seasonal variations over time, making it invaluable for forecasting and predicting future values. From stock prices and weather patter…
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Survival analysis is a branch of statistics focused on analyzing the time until a specific event occurs, often referred to as "time-to-event" data. While the term "survival" originates from medical research, where the event of interest is typically death or relapse, the methodology has broad applications across many fields. In business, it can be u…
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BRISK (Binary Robust Invariant Scalable Keypoints): A Fast and Scalable Feature Detector for Real-Time Applications
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BRISK, or Binary Robust Invariant Scalable Keypoints, is a feature detection and description algorithm designed for efficient performance in computer vision tasks, particularly in real-time and resource-constrained environments. BRISK provides a balance between speed, accuracy, and robustness, offering scalability and invariance to image transforma…
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BRIEF (Binary Robust Independent Elementary Features): A Lightweight and Efficient Descriptor for Feature Matching
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BRIEF, which stands for Binary Robust Independent Elementary Features, is a widely used feature descriptor in computer vision that focuses on speed and efficiency. Unlike more complex and computationally intensive descriptors such as SIFT or SURF, BRIEF is designed to be simple yet highly effective, especially for tasks that require real-time proce…
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GH. 68 - The Grow Hour. Mr Weedman & Big Earl Cover Maintenance & Cleaning During Your Grow.
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Send us a text What's up all you gardeners! Mr Weedman and Big Earl are back with another great episode for you to enjoy. Weedman is toking on Funcle from Earl's garden, Big Earl is enjoying Sparkling Wine, also from his garden. Together they cover an important topic - they're talking about different cleaning techniques throughout your grow cycle; …
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Send us a text Yo, yo, yo, yo...how are all you Vipers doin? Mr and Mrs Weedman are getting normal with a sesh of Sub Zero from their friends @MidwestTerps. They share their latest adventures from the Chicagoland cannabis scene and then get right into delivering some big cannabis articles, reports, political news, and stories from all around this b…
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SURF (Speeded-Up Robust Features): A High-Performance Tool for Feature Detection in Computer Vision
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SURF, short for Speeded-Up Robust Features, is a popular algorithm used for detecting and describing key points in images. Introduced as a faster and more efficient alternative to the well-known SIFT (Scale-Invariant Feature Transform) algorithm, SURF is designed to be robust against image transformations such as scaling, rotation, and changes in l…
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ORB, short for Oriented FAST and Rotated BRIEF, is a fast and efficient feature detection and description algorithm widely used in computer vision. Developed as an alternative to more computationally expensive methods like SIFT (Scale-Invariant Feature Transform) and SURF (Speeded-Up Robust Features), ORB combines the speed of the FAST (Features fr…
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The Kaplan-Meier Estimator is a powerful and widely used statistical tool in the field of survival analysis, which focuses on understanding the time until an event of interest occurs. Typically applied in medical research, where the event might be death or disease recurrence, this method provides insights into the probability of survival over time.…
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Super-Resolution (SR) refers to a set of advanced techniques used to enhance the quality and resolution of images. By transforming low-resolution images into higher-resolution ones, SR plays a crucial role in fields where clarity and detail are paramount, such as medical imaging, satellite photography, and entertainment. In recent years, advancemen…
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NativeScript is an open-source framework that empowers developers to build truly native mobile applications for both iOS and Android using a single codebase. Unlike other cross-platform solutions, NativeScript allows developers to write apps in JavaScript, TypeScript, or Angular, while still delivering a fully native experience. This is achieved by…
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Gaussian Mixture Models (GMM) are a flexible and widely-used statistical method for modeling data distributions. GMMs are particularly useful in the field of unsupervised machine learning, where the goal is to identify hidden patterns or groupings within a dataset without predefined labels. By assuming that the data is generated from a mixture of s…
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Sam Altman, a prominent entrepreneur, investor, and technology visionary, has emerged as one of the leading figures in the field of artificial intelligence (AI). Best known as the CEO of OpenAI, a research organization dedicated to developing and promoting safe and beneficial AI, Altman has played a pivotal role in steering the direction of AI rese…
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Send us a text Hey all you burners, stoners and potheads! Mr & Mrs Weedman are getting normal, toking on Stanky Glue from their friend, Big Earl's garden. With their minds properly adjusted they share stories of their past week in the world of cannabis and their upcoming events. From there, Mr Weedman delivers the latest cannabis headlines, news an…
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BERTopic is a modern topic modeling technique designed to uncover hidden themes within large collections of text. Built upon the powerful BERT (Bidirectional Encoder Representations from Transformers) model, BERTopic leverages advanced natural language processing (NLP) techniques to automatically discover and categorize topics in textual data. By c…
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PubMedBERT is a state-of-the-art natural language processing (NLP) model designed specifically for understanding and analyzing biomedical literature. Created to meet the growing need for more precise text processing in healthcare and research, PubMedBERT is pre-trained on data from PubMed, a vast repository of biomedical research articles. This spe…
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BioBERT (Bidirectional Encoder Representations from Transformers for Biomedical Text Mining) is a groundbreaking natural language processing (NLP) model specifically designed for the biomedical domain. Developed to enhance the ability of AI systems to understand and process the complex language used in scientific literature and healthcare documents…
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BlueBERT is a specialized natural language processing (NLP) model designed to address the unique challenges of understanding and processing biomedical and clinical texts. Building on the architecture of BERT (Bidirectional Encoder Representations from Transformers), BlueBERT has been fine-tuned specifically for the language used in medical research…
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ClinicalBERT is a specialized variant of the BERT (Bidirectional Encoder Representations from Transformers) model, designed to understand and process medical language found in clinical notes and healthcare-related texts. Developed to bridge the gap between general natural language processing (NLP) models and the unique demands of medical data, Clin…
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