7 articles tagged with #google-gemini. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.
Google has integrated its Gemini AI model into robotic systems that can autonomously read industrial gauges and thermometers during facility inspections. This advancement combines computer vision with large language models to enable robots to interpret analog instruments, improving automation capabilities in industrial monitoring and maintenance operations.
A research study reveals that AI-powered search engines like Perplexity, SearchGPT, and Google Gemini produce highly variable citation results for identical queries, making single-run visibility metrics unreliable. The study demonstrates that citation distributions follow power-law patterns with substantial variability, and argues that uncertainty estimates are essential for accurate measurement of domain visibility in generative search.
Salesforce launched a completely rebuilt Slackbot AI agent powered by Anthropic's Claude, transforming it from a basic notification tool into a comprehensive workplace AI assistant that can search enterprise data, draft documents, and take actions. The new Slackbot is now available to Business+ and Enterprise+ customers and achieved 96% internal satisfaction rates at Salesforce with two-thirds of 80,000 employees adopting it.
Google has launched a native Gemini AI app for macOS that enables quick access to its AI assistant via an Option + Space keyboard shortcut, displaying a floating chat bubble. The app allows users to share their screen with Gemini for context-aware assistance and can generate images, videos, and music, competing directly with Apple's enhanced Spotlight feature.
Google's Gemini AI can be used as a research tool to help cryptocurrency investors analyze coins before investing. The article provides a structured workflow for using Gemini to organize research, compare tokenomics, and filter through market noise for more responsible investment decisions.
Researchers developed a chatbot based on Google Gemini 2.0 Flash that automatically generates and solves electromagnetic simulation models, significantly reducing setup time. The system uses Python to coordinate between workflow components and can handle various conductor geometries while providing custom post-processing capabilities.
Researchers introduce AudioCapBench, a new benchmark for evaluating how well large multimodal AI models can generate captions for audio content across sound, music, and speech domains. The study tested 13 models from OpenAI and Google Gemini, finding that Gemini models generally outperformed OpenAI in overall captioning quality, though all models struggled most with music captioning.
