Ashish Agarwal

AI-assisted Solution for Hybrid Workspace Optimization

Problem: The future of hybrid work culture is increasingly complex. With remote workers, distributed teams, flexible multi-tenant office space, and how workers interact with each other and their physical space is dynamically changing everyday. Yet, decisions around the workplace design and strategy are all too often anecdotal, static, and incomplete. Companies need better data in real-time …

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AI-assisted Solution for Hybrid Workspace Optimization

Using Google Maps Tech For Liability Management in Public Works Departments

Introduction: SpringML was recently awarded the status of being the Top Tier Partner for solutions requiring Google Maps Expertise. We were glad to leverage our knowledge and understanding in the domain to solve customer concerns around liability management, specifically for Public Works departments. For example, SpringML used machine learning models and Google Maps to help the …

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Google-Maps-Expertise

Machine Learning on Tensor Processing Unit

Google announced last year that they were going to build two hardware products designed around the Edge TPU (Tensor Processing Unit). An Edge TPU is Google’s purpose-built ASIC designed to run AI at the edge. It delivers high performance in a small physical and power footprint, enabling the deployment of high-accuracy AI at the edge. An Edge TPU is as very small and several can fit on a penny.

Coral USB Accelerator