Author: Ricardo

Editors Pick New Releases

UC Berkeley Introduces CyberGym: A Real-World Cybersecurity Evaluation Framework to Evaluate AI Agents on Large-Scale Vulnerabilities Across Massive Codebases
ByRicardo June 20, 2025

Cybersecurity has become a significant area of interest in artificial intelligence, driven by the increasing reliance on large software systems and the expanding capabilities of AI tools. As threats evolve in complexity, ensuring the security of software systems has become more than just a matter of conventional protections; it now intersects with automated reasoning, vulnerability…

Read More UC Berkeley Introduces CyberGym: A Real-World Cybersecurity Evaluation Framework to Evaluate AI Agents on Large-Scale Vulnerabilities Across Massive Codebases
Editors Pick Machine Learning

This AI Paper from Google Introduces a Causal Framework to Interpret Subgroup Fairness in Machine Learning Evaluations More Reliably
ByRicardo June 20, 2025

Understanding Subgroup Fairness in Machine Learning ML Evaluating fairness in machine learning often involves examining how models perform across different subgroups defined by attributes such as race, gender, or socioeconomic background. This evaluation is essential in contexts such as healthcare, where unequal model performance can lead to disparities in treatment recommendations or diagnostics. Subgroup-level performance…

Read More This AI Paper from Google Introduces a Causal Framework to Interpret Subgroup Fairness in Machine Learning Evaluations More Reliably
Agentic AI AI Agents

From Backend Automation to Frontend Collaboration: What’s New in AG-UI Latest Update for AI Agent-User Interaction
ByRicardo June 20, 2025

Introduction AI agents are increasingly moving from pure backend automators to visible, collaborative elements within modern applications. However, making agents genuinely interactive—capable of both responding to users and proactively guiding workflows—has long been an engineering headache. Each team ends up building custom communication channels, event handling, and state management, all for similar interaction needs. The…

Read More From Backend Automation to Frontend Collaboration: What’s New in AG-UI Latest Update for AI Agent-User Interaction
Amazon SageMaker Amazon SageMaker AI

Build a scalable AI video generator using Amazon SageMaker AI and CogVideoX
ByRicardo June 19, 2025

In recent years, the rapid advancement of artificial intelligence and machine learning (AI/ML) technologies has revolutionized various aspects of digital content creation. One particularly exciting development is the emergence of video generation capabilities, which offer unprecedented opportunities for companies across diverse industries. This technology allows for the creation of short video clips that can be…

Read More Build a scalable AI video generator using Amazon SageMaker AI and CogVideoX
Artificial Intelligence Responsible AI

Building trust in AI: The AWS approach to the EU AI Act
ByRicardo June 19, 2025

As AI adoption accelerates and reshapes our future, organizations are adapting to evolving regulatory frameworks. In our report commissioned to Strand Partners, Unlocking Europe’s AI Potential in the Digital Decade 2025, 68% of European businesses surveyed underlined that they struggle to understand their responsibilities under the EU AI Act. European businesses also highlighted that an…

Read More Building trust in AI: The AWS approach to the EU AI Act
Announcements Artificial Intelligence

Update on the AWS DeepRacer Student Portal
ByRicardo June 19, 2025

The AWS DeepRacer Student Portal will no longer be available starting September 15, 2025. This change comes as part of the broader transition of AWS DeepRacer from a service to an AWS Solution, representing an evolution in how we deliver AI & ML education. Since its launch, the AWS DeepRacer Student Portal has helped thousands…

Read More Update on the AWS DeepRacer Student Portal
Amazon SageMaker Amazon SageMaker AI

Accelerate foundation model training and inference with Amazon SageMaker HyperPod and Amazon SageMaker Studio
ByRicardo June 19, 2025

Modern generative AI model providers require unprecedented computational scale, with pre-training often involving thousands of accelerators running continuously for days, and sometimes months. Foundation Models (FMs) demand distributed training clusters — coordinated groups of accelerated compute instances, using frameworks like PyTorch — to parallelize workloads across hundreds of accelerators (like AWS Trainium and AWS Inferentia…

Read More Accelerate foundation model training and inference with Amazon SageMaker HyperPod and Amazon SageMaker Studio
AI Paper Summary AI Shorts

MiniMax AI Releases MiniMax-M1: A 456B Parameter Hybrid Model for Long-Context and Reinforcement Learning RL Tasks
ByRicardo June 19, 2025

The Challenge of Long-Context Reasoning in AI Models Large reasoning models are not only designed to understand language but are also structured to think through multi-step processes that require prolonged attention spans and contextual comprehension. As the expectations from AI grow, especially in real-world and software development environments, researchers have sought architectures that can handle…

Read More MiniMax AI Releases MiniMax-M1: A 456B Parameter Hybrid Model for Long-Context and Reinforcement Learning RL Tasks
AI

AI Innovators Worldwide Choose Oracle for AI Training and Inferencing
ByRicardo June 19, 2025

Fireworks AI, Hedra, Numenta, and Soniox experience accelerated performance and cost efficiency with Oracle Cloud Infrastructure AI innovators across the world are using Oracle Cloud Infrastructure (OCI) AI infrastructure and OCI Supercluster to train AI models and deploy AI inference and applications. Fireworks AI, Hedra, Numenta, Soniox, and hundreds of other leading AI innovators have selected OCI for its…

Read More AI Innovators Worldwide Choose Oracle for AI Training and Inferencing
Clinical Trials

Advarra Establishes AI Council in Partnership with Life Sciences Leaders
ByRicardo June 19, 2025

Sanofi, Recursion, and Velocity Clinical Research Executives Join Council as Founding Members to Guide Responsible AI Use in Clinical Research and Drive Tangible Improvements in Study Design and Operational Outcomes Advarra, the market leader in regulatory review and clinical research technology, today announced the launch of the Council for Responsible Use of AI in Clinical Trials….

Read More Advarra Establishes AI Council in Partnership with Life Sciences Leaders

Author: Ricardo

UC Berkeley Introduces CyberGym: A Real-World Cybersecurity Evaluation Framework to Evaluate AI Agents on Large-Scale Vulnerabilities Across Massive Codebases

This AI Paper from Google Introduces a Causal Framework to Interpret Subgroup Fairness in Machine Learning Evaluations More Reliably

From Backend Automation to Frontend Collaboration: What’s New in AG-UI Latest Update for AI Agent-User Interaction

Build a scalable AI video generator using Amazon SageMaker AI and CogVideoX

Building trust in AI: The AWS approach to the EU AI Act

Update on the AWS DeepRacer Student Portal

Accelerate foundation model training and inference with Amazon SageMaker HyperPod and Amazon SageMaker Studio

MiniMax AI Releases MiniMax-M1: A 456B Parameter Hybrid Model for Long-Context and Reinforcement Learning RL Tasks

AI Innovators Worldwide Choose Oracle for AI Training and Inferencing

Advarra Establishes AI Council in Partnership with Life Sciences Leaders

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