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Revolutionizing Cancer Diagnosis: How Deep Learning Predicts Continuous Biomarkers with Unprecedented Accuracy Sana Hassan Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Digital pathology involves analyzing tissue specimens, often whole slide images (WSI), to predict genetic biomarkers for accurate tumor diagnosis. Deep learning models process WSI by breaking them into smaller regions or tiles and aggregating features to predict biomarkers. However, current methods primarily focus on… Read More »Revolutionizing Cancer Diagnosis: How Deep Learning Predicts Continuous Biomarkers with Unprecedented Accuracy Sana Hassan Artificial Intelligence Category – MarkTechPost

Revolutionizing Language Model Safety: How Reverse Language Models Combat Toxic Outputs Mohammad Arshad Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Language models (LMs) exhibit problematic behaviors under certain conditions: chat models can produce toxic responses when presented with adversarial examples, LMs prompted to challenge other LMs can generate questions that provoke toxic responses, and LMs can easily get sidetracked by irrelevant text. To enhance… Read More »Revolutionizing Language Model Safety: How Reverse Language Models Combat Toxic Outputs Mohammad Arshad Artificial Intelligence Category – MarkTechPost

Meta AI Introduces AudioSeal: The First Audio Watermarking Technique Designed Specifically for Localized Detection of AI-Generated Speech Asif Razzaq Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” In the past decade or so, Artificial Intelligence (AI) has made significant strides and is now part of automation pipelines in various applications. New innovations that are even more efficient than their predecessors are constantly being released. Generative AI is a sub-part of AI… Read More »Meta AI Introduces AudioSeal: The First Audio Watermarking Technique Designed Specifically for Localized Detection of AI-Generated Speech Asif Razzaq Artificial Intelligence Category – MarkTechPost

Meet LEAP: Revolutionizing Few-Shot Learning in Large Language Models by Learning from Mistakes Muhammad Athar Ganaie Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” AI aims for accurate and efficient learning. Traditional approaches have largely centered on models learning from correct examples. However, a groundbreaking study shifts this paradigm by suggesting that models can significantly benefit from an in-depth analysis of their mistakes. The study introduces Learning from… Read More »Meet LEAP: Revolutionizing Few-Shot Learning in Large Language Models by Learning from Mistakes Muhammad Athar Ganaie Artificial Intelligence Category – MarkTechPost

Testing Assumptions in Real Estate: A Dive into Hypothesis Testing with the Ames Housing Dataset Vinod Chugani MachineLearningMastery.com

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​[[{“value”:” In the realm of inferential statistics, you often want to test specific hypotheses about our data. Using the Ames Housing dataset, you’ll delve deep into the concept of hypothesis testing and explore if the presence of an air conditioner affects the sale price of… Read More »Testing Assumptions in Real Estate: A Dive into Hypothesis Testing with the Ames Housing Dataset Vinod Chugani MachineLearningMastery.com

Detect anomalies in manufacturing data using Amazon SageMaker Canvas Helge Aufderheide AWS Machine Learning Blog

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​[[{“value”:” With the use of cloud computing, big data and machine learning (ML) tools like Amazon Athena or Amazon SageMaker have become available and useable by anyone without much effort in creation and maintenance. Industrial companies increasingly look at data analytics and data-driven decision-making to… Read More »Detect anomalies in manufacturing data using Amazon SageMaker Canvas Helge Aufderheide AWS Machine Learning Blog

Our next-generation model: Gemini 1.5 Google DeepMind Blog

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​The model delivers dramatically enhanced performance, with a breakthrough in long-context understanding across modalities. The model delivers dramatically enhanced performance, with a breakthrough in long-context understanding across modalities.  Read More  

Microsoft’s TAG-LLM: An AI Weapon for Decoding Complex Protein Structures and Chemical Compounds! Muhammad Athar Ganaie Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” The seamless integration of Large Language Models (LLMs) into the fabric of specialized scientific research represents a pivotal shift in the landscape of computational biology, chemistry, and beyond. Traditionally, LLMs excel in broad natural language processing tasks but falter when navigating the complex terrains… Read More »Microsoft’s TAG-LLM: An AI Weapon for Decoding Complex Protein Structures and Chemical Compounds! Muhammad Athar Ganaie Artificial Intelligence Category – MarkTechPost

Learning the importance of training data under concept drift Google AI Google AI Blog

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​[[{“value”:”Posted by Nishant Jain, Pre-doctoral Researcher, and Pradeep Shenoy, Research Scientist, Google Research The constantly changing nature of the world around us poses a significant challenge for the development of AI models. Often, models are trained on longitudinal data with the hope that the training… Read More »Learning the importance of training data under concept drift Google AI Google AI Blog

Enhance Amazon Connect and Lex with generative AI capabilities Hamza Nadeem AWS Machine Learning Blog

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​[[{“value”:” Effective self-service options are becoming increasingly critical for contact centers, but implementing them well presents unique challenges. Amazon Lex provides your Amazon Connect contact center with chatbot functionalities such as automatic speech recognition (ASR) and natural language understanding (NLU) capabilities through voice and text… Read More »Enhance Amazon Connect and Lex with generative AI capabilities Hamza Nadeem AWS Machine Learning Blog