AI voice agents significantly enhance the accuracy and completion rates of home blood pressure monitoring for seniors, leading to improved health outcomes and exceptional patient satisfaction scores exceeding 9 out of 10.
Garmin unveils the Fenix 8 Pro, a groundbreaking smartwatch boasting satellite and cellular connectivity, allowing users to send messages and location data via inReach technology; the microLED model retails at $2,000, while the AMOLED variant starts at $1,200.
President Trump and top tech CEOs join forces, announcing massive US investments to power American supremacy in the rapidly advancing artificial intelligence frontier, hailing pro-business policies as fueling AI innovation and growth.
OpenAI collaborates with Broadcom on custom AI chips scheduled for launch in 2024, aiming to meet soaring computing demands and reduce reliance on Nvidia while utilizing the chips internally rather than selling them to customers.
The U.S. Navy aggressively develops AI-powered combat assistants and decision aids, integrating machine learning into the AN/BYG-1 submarine combat system for enhanced tactical control, payload integration, and AI-driven decision support in undersea warfare.
AI is predicted to disrupt an astounding 99% of jobs by 2030, warns AI safety researcher Roman Yampolskiy, with even professions like coding and prompt engineering not immune to automation as AI becomes increasingly advanced and capable of handling all tasks, potentially rendering retraining efforts insufficient.
Pipecat, an open-source Python framework, unleashes real-time voice and multimodal AI conversational agents with ultra-low latency interaction by integrating speech recognition, text-to-speech, AI services, and various transports.
In a controversial move, Google removes its net-zero emissions pledge as the tech giant's energy usage surges 26% this year, driven by the AI boom, raising concerns about Big Tech's ability to meet climate goals amidst skyrocketing energy demands.
AI agents embrace transparency and modular architectures, from single-agent to collaborative patterns, enabling trusted capabilities by admitting uncertainty and exposing reasoning.
Microsoft unveils a comprehensive curriculum with 11 lessons, covering AI agent frameworks, design patterns, tools, trustworthy agent development, and deployment, utilizing Azure AI Foundry, GitHub Model Catalogs, and Microsoft's AI agent frameworks like Semantic Kernel and AutoGen.