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Generative AI in the Real World: Stefania Druga on Designing for the Next Generation Ben Lorica and Stefania Druga AI & ML – Radar

​[[{“value”:” How do you teach kids to use and build with AI? That’s what Stefania Druga works on. It’s important to be sensitive to their creativity, sense of fun, and desire to learn. When designing for kids, it’s important to design with them, not just… Read More »Generative AI in the Real World: Stefania Druga on Designing for the Next Generation Ben Lorica and Stefania Druga AI & ML – Radar

Generative AI in the Real World: Stefania Druga on Designing for the Next Generation Ben Lorica and Stefania Druga AI & ML – Radar

​[[{“value”:” How do you teach kids to use and build with AI? That’s what Stefania Druga works on. It’s important to be sensitive to their creativity, sense of fun, and desire to learn. When designing for kids, it’s important to design with them, not just… Read More »Generative AI in the Real World: Stefania Druga on Designing for the Next Generation Ben Lorica and Stefania Druga AI & ML – Radar

Google DeepMind Releases AlphaGenome: A Deep Learning Model that can more Comprehensively Predict the Impact of Single Variants or Mutations in DNA Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” A Unified Deep Learning Model to Understand the Genome Google DeepMind has unveiled AlphaGenome, a new deep learning framework designed to predict the regulatory consequences of DNA sequence variations across a wide spectrum of biological modalities. AlphaGenome stands out by accepting long DNA sequences—up… Read More »Google DeepMind Releases AlphaGenome: A Deep Learning Model that can more Comprehensively Predict the Impact of Single Variants or Mutations in DNA Asif Razzaq Artificial Intelligence Category – MarkTechPost

MIT and NUS Researchers Introduce MEM1: A Memory-Efficient Framework for Long-Horizon Language Agents Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Modern language agents need to handle multi-turn conversations, retrieving and updating information as tasks evolve. However, most current systems simply add all past interactions to the prompt, regardless of relevance. This leads to bloated memory usage, slower performance, and poor reasoning on longer inputs… Read More »MIT and NUS Researchers Introduce MEM1: A Memory-Efficient Framework for Long-Horizon Language Agents Sana Hassan Artificial Intelligence Category – MarkTechPost

A Gentle Introduction to Attention Masking in Transformer Models Adrian Tam MachineLearningMastery.com

​This post is divided into four parts; they are: • Why Attention Masking is Needed • Implementation of Attention Masks • Mask Creation • Using PyTorch’s Built-in Attention In the  This post is divided into four parts; they are: • Why Attention Masking is Needed… Read More »A Gentle Introduction to Attention Masking in Transformer Models Adrian Tam MachineLearningMastery.com

New AI Research Reveals Privacy Risks in LLM Reasoning Traces Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Introduction: Personal LLM Agents and Privacy Risks LLMs are deployed as personal assistants, gaining access to sensitive user data through Personal LLM agents. This deployment raises concerns about contextual privacy understanding and the ability of these agents to determine when sharing specific user information… Read More »New AI Research Reveals Privacy Risks in LLM Reasoning Traces Sajjad Ansari Artificial Intelligence Category – MarkTechPost

ETH and Stanford Researchers Introduce MIRIAD: A 5.8M Pair Dataset to Improve LLM Accuracy in Medical AI Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Challenges of LLMs in Medical Decision-Making: Addressing Hallucinations via Knowledge Retrieval LLMs are set to revolutionize healthcare through intelligent decision support and adaptable chat-based assistants. However, a major challenge is their tendency to produce factually incorrect medical information. To address this, a common solution… Read More »ETH and Stanford Researchers Introduce MIRIAD: A 5.8M Pair Dataset to Improve LLM Accuracy in Medical AI Sana Hassan Artificial Intelligence Category – MarkTechPost

Build an intelligent multi-agent business expert using Amazon Bedrock Justin Ossai Artificial Intelligence

​[[{“value”:” In this post, we demonstrate how to build a multi-agent system using multi-agent collaboration in Amazon Bedrock Agents to solve complex business questions in the biopharmaceutical industry. We show how specialized agents in research and development (R&D), legal, and finance domains can work together… Read More »Build an intelligent multi-agent business expert using Amazon Bedrock Justin Ossai Artificial Intelligence

Driving cost-efficiency and speed in claims data processing with Amazon Nova Micro and Amazon Nova Lite Aitzaz Ahmad Artificial Intelligence

​[[{“value”:” Amazon operations span the globe, touching the lives of millions of customers, employees, and vendors every day. From the vast logistics network to the cutting-edge technology infrastructure, this scale is a testament to the company’s ability to innovate and serve its customers. With this… Read More »Driving cost-efficiency and speed in claims data processing with Amazon Nova Micro and Amazon Nova Lite Aitzaz Ahmad Artificial Intelligence