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From GenAI Demos to Production: Why Structured Workflows Are Essential

At technology conferences worldwide and on social media, generative AI applications demonstrate impressive capabilities: composing marketing emails, creating data visualizations, or writing functioning code. Yet behind these polished demonstrations lies a stark reality. What works in controlled environments often fails…

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Skywork AI Advances Multimodal Reasoning: Introducing Skywork R1V2 with Hybrid Reinforcement Learning

Recent advancements in multimodal AI have highlighted a persistent challenge: achieving strong specialized reasoning capabilities while preserving generalization across diverse tasks. “Slow-thinking” models such as OpenAI-o1 and Gemini-Thinking have made strides in deliberate analytical reasoning but often exhibit compromised performance…

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Google DeepMind Research Introduces QuestBench: Evaluating LLMs’ Ability to Identify Missing Information in Reasoning Tasks

Large language models (LLMs) have gained significant traction in reasoning tasks, including mathematics, logic, planning, and coding. However, a critical challenge emerges when applying these models to real-world scenarios. While current implementations typically operate under the assumption that all necessary…

Read MoreGoogle DeepMind Research Introduces QuestBench: Evaluating LLMs’ Ability to Identify Missing Information in Reasoning Tasks

AgentA/B: A Scalable AI System Using LLM Agents that Simulate Real User Behavior to Transform Traditional A/B Testing on Live Web Platforms

Designing and evaluating web interfaces is one of the most critical tasks in today’s digital-first world. Every change in layout, element positioning, or navigation logic can influence how users interact with websites. This becomes even more crucial for platforms that…

Read MoreAgentA/B: A Scalable AI System Using LLM Agents that Simulate Real User Behavior to Transform Traditional A/B Testing on Live Web Platforms

Meta AI Introduces Token-Shuffle: A Simple AI Approach to Reducing Image Tokens in Transformers

Autoregressive (AR) models have made significant advances in language generation and are increasingly explored for image synthesis. However, scaling AR models to high-resolution images remains a persistent challenge. Unlike text, where relatively few tokens are required, high-resolution images necessitate thousands…

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Collaborating to advance research and innovation on essential chips for AI | MIT News

The following is a joint announcement from the MIT Microsystems Technology Laboratories and GlobalFoundries.  MIT and GlobalFoundries (GF), a leading manufacturer of essential semiconductors, have announced a new research agreement to jointly pursue advancements and innovations for enhancing the performance…

Read MoreCollaborating to advance research and innovation on essential chips for AI | MIT News