Skip to content

Google AI Introduces the Test-Time Diffusion Deep Researcher (TTD-DR): A Human-Inspired Diffusion Framework for Advanced Deep Research Agents Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Deep Research (DR) agents have rapidly gained popularity in both research and industry, thanks to recent progress in LLMs. However, most popular public DR agents are not designed with human thinking and writing processes in mind. They often lack structured steps that support human… Read More »Google AI Introduces the Test-Time Diffusion Deep Researcher (TTD-DR): A Human-Inspired Diffusion Framework for Advanced Deep Research Agents Sajjad Ansari Artificial Intelligence Category – MarkTechPost

TransEvalnia: A Prompting-Based System for Fine-Grained, Human-Aligned Translation Evaluation Using LLMs Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Translation systems powered by LLMs have become so advanced that they can outperform human translators in some cases. As LLMs improve, especially in complex tasks such as document-level or literary translation, it becomes increasingly challenging to make further progress and to accurately evaluate that… Read More »TransEvalnia: A Prompting-Based System for Fine-Grained, Human-Aligned Translation Evaluation Using LLMs Sana Hassan Artificial Intelligence Category – MarkTechPost

Affect Models Have Weak Generalizability to Atypical Speech Apple Machine Learning Research

​Speech and voice conditions can alter the acoustic properties of speech, which could impact the performance of paralinguistic models for affect for people with atypical speech. We evaluate publicly available models for recognizing categorical and dimensional affect from speech on a dataset of atypical speech,… Read More »Affect Models Have Weak Generalizability to Atypical Speech Apple Machine Learning Research

STIV: Scalable Text and Image Conditioned Video Generation Apple Machine Learning Research

​The field of video generation has made remarkable advancements, yet there remains a pressing need for a clear, systematic recipe that can guide the development of robust and scalable models. In this work, we present a comprehensive study that systematically explores the interplay of model… Read More »STIV: Scalable Text and Image Conditioned Video Generation Apple Machine Learning Research

Introducing AWS Batch Support for Amazon SageMaker Training jobs James Park Artificial Intelligence

​[[{“value”:” Picture this: your machine learning (ML) team has a promising model to train and experiments to run for their generative AI project, but they’re waiting for GPU availability. The ML scientists spend time monitoring instance availability, coordinating with teammates over shared resources, and managing… Read More »Introducing AWS Batch Support for Amazon SageMaker Training jobs James Park Artificial Intelligence

Structured outputs with Amazon Nova: A guide for builders Jean Farmer Artificial Intelligence

​[[{“value”:” Developers building AI applications face a common challenge: converting unstructured data into structured formats. Structured output is critical for machine-to-machine communication use cases, because this enables downstream use cases to more effectively consume and process the generated outputs. Whether it’s extracting information from documents,… Read More »Structured outputs with Amazon Nova: A guide for builders Jean Farmer Artificial Intelligence

AI agents unifying structured and unstructured data: Transforming support analytics and beyond with Amazon Q Plugins Chitresh Saxena Artificial Intelligence

​[[{“value”:” As organizations seek to derive greater value from their AWS Support data, operational teams are looking for ways to transform raw support cases and health events into actionable insights. While traditional analytics tools can provide basic reporting capabilities, teams need more sophisticated solutions that… Read More »AI agents unifying structured and unstructured data: Transforming support analytics and beyond with Amazon Q Plugins Chitresh Saxena Artificial Intelligence

Amazon Strands Agents SDK: A technical deep dive into agent architectures and observability Jin Tan Ruan Artificial Intelligence

​[[{“value”:” The Amazon Strands Agents SDK is an open source framework for building AI agents that emphasizes a model-driven approach. Instead of hardcoding complex task flows, Strands uses the reasoning abilities of modern large language models (LLMs) to handle planning and tool usage autonomously. Developers… Read More »Amazon Strands Agents SDK: A technical deep dive into agent architectures and observability Jin Tan Ruan Artificial Intelligence

Build dynamic web research agents with the Strands Agents SDK and Tavily Akarsha Sehwag Artificial Intelligence

​[[{“value”:” “Tavily is now available on AWS Marketplace and integrates natively with Amazon Bedrock AgentCore Gateway. This makes it even faster for developers and enterprises to embed real-time web intelligence into secure, AWS-powered agents.” As enterprises accelerate their AI adoption, the demand for agent frameworks… Read More »Build dynamic web research agents with the Strands Agents SDK and Tavily Akarsha Sehwag Artificial Intelligence