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​[[{“value”:” Proteins, essential macromolecules for biological processes like metabolism and immune response, follow the sequence-structure-function paradigm, where amino acid sequences determine 3D structures and functions. Computational protein science AIms to decode this relationship and design proteins with desired properties. Traditional AI models have achieved significant… Read More »Advancing Protein Science with Large Language Models: From Sequence Understanding to Drug Discovery Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Attaching a custom Docker image to an Amazon SageMaker Studio domain involves several steps. First, you need to build and push the image to Amazon Elastic Container Registry (Amazon ECR). You also need to make sure that the Amazon SageMaker domain execution role has… Read More »Streamline custom environment provisioning for Amazon SageMaker Studio: An automated CI/CD pipeline approach Muni Annachi AWS Machine Learning Blog

​[[{“value”:” The rise of AI has opened new avenues for enhancing customer experiences across multiple channels. Technologies like natural language understanding (NLU) are employed to discern customer intents, facilitating efficient self-service actions. Automatic speech recognition (ASR) translates spoken words into text, enabling seamless voice interactions.… Read More »Enhance your customer’s omnichannel experience with Amazon Bedrock and Amazon Lex Michael Cho AWS Machine Learning Blog

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​[[{“value”:” Pre-trained vision models have been foundational to modern-day computer vision advances across various domains, such as image classification, object detection, and image segmentation. There is a rather massive amount of data inflow, creating dynamic data environments that require a continual learning process for our… Read More »Introducing GS-LoRA++: A Novel Approach to Machine Unlearning for Vision Tasks Afeerah Naseem Artificial Intelligence Category – MarkTechPost

​[[{“value”:” A fundamental challenge in advancing AI research lies in developing systems that can autonomously perform structured reasoning and dynamically expand domain knowledge. Traditional AI models often rely on implicit reasoning processes, which limit their ability to explain decisions, adapt across domains, and generalize relational… Read More »MIT Researchers Propose Graph-PReFLexOR: A Machine Learning Model Designed for Graph-Native Reasoning in Science and Engineering Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Reinforcement learning (RL) has fundamentally transformed AI by allowing models to improve performance iteratively through interaction and feedback. When applied to large language models (LLMs), RL opens new avenues for handling tasks that require complex reasoning, such as mathematical problem-solving, coding, and multimodal data… Read More »Kimi k1.5: A Next Generation Multi-Modal LLM Trained with Reinforcement Learning on Advancing AI with Scalable Multimodal Reasoning and Benchmark Excellence Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Amazon Bedrock Flows offers an intuitive visual builder and a set of APIs to seamlessly link foundation models (FMs), Amazon Bedrock features, and AWS services to build and automate user-defined generative AI workflows at scale. Amazon Bedrock Agents offers a fully managed solution for… Read More »Introducing multi-turn conversation with an agent node for Amazon Bedrock Flows (preview) Christian Kamwangala AWS Machine Learning Blog

​[[{“value”:” Security teams in highly regulated industries like financial services often employ Privileged Access Management (PAM) systems to secure, manage, and monitor the use of privileged access across their critical IT infrastructure. Security and compliance regulations require that security teams audit the actions performed by… Read More »Video security analysis for privileged access management using generative AI and Amazon Bedrock Ken Haynes AWS Machine Learning Blog

​[[{“value”:” Bagel is a novel AI model architecture that transforms open-source AI development by enabling permissionless contributions and ensuring revenue attribution for contributors. Its design integrates advanced cryptography with machine learning techniques to create a trustless, secure, collaborative ecosystem. Their first platform, Bakery, is a… Read More »Beyond Open Source AI: How Bagel’s Cryptographic Architecture, Bakery Platform, and ZKLoRA Drive Sustainable AI Monetization Asif Razzaq Artificial Intelligence Category – MarkTechPost