CAMPHOR: Collaborative Agents for Multi-Input Planning and High-Order Reasoning On Device

While server-side Large Language Models (LLMs) demonstrate proficiency in tool integration and complex reasoning, deploying Small Language Models (SLMs) directly on devices brings opportunities to improve latency and privacy but also introduces unique challenges for accuracy and memory. We introduce CAMPHOR, an innovative on-device SLM multi-agent framework designed to handle multiple user inputs and reason …

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Accelerate migration portfolio assessment using Amazon Bedrock

Conducting assessments on application portfolios that need to be migrated to the cloud can be a lengthy endeavor. Despite the existence of AWS Application Discovery Service or the presence of some form of configuration management database (CMDB), customers still face many challenges. These include time taken for follow-up discussions with application teams to review outputs …

Founders share five takeaways from the Google Cloud Startup Summit

We recently hosted our annual Google Cloud Startup Summit, and we were thrilled to showcase a wide range of AI startups leveraging Google Cloud, including Higgsfield AI, Click Therapeutics, Baseten, LiveX AI, Reve AI, and Vellum. As a former co-founder and venture capitalist, I was inspired by the remarkable solutions these startups are developing and …

Researchers develop system cat’s eye-inspired vision for autonomous robotics

Researchers have unveiled a vision system inspired by feline eyes to enhance object detection in various lighting conditions. Featuring a unique shape and reflective surface, the system reduces glare in bright environments and boosts sensitivity in low-light scenarios. By filtering unnecessary details, this technology significantly improves the performance of single-lens cameras, representing a notable advancement …

Progressive Entropic Optimal Transport Solvers

Optimal transport (OT) has profoundly impacted machine learning by providing theoretical and computational tools to realign datasets. In this context, given two large point clouds of sizes nnn and mmm in Rdmathbb{R}^dRd, entropic OT (EOT) solvers have emerged as the most reliable tool to either solve the Kantorovich problem and output a n×mntimes mn×m coupling …