Insights

Multiple industries are increasingly frustrated by the prohibitive cost and excessive timeframes of obtaining real-world data for autonomous vehicle (AV) development. Using simulated environments - specifically mmWave radar simulation - to train machine learning models slashes the need for real-world data collection and provides a platform for rare use cases. This innovation briefing further explores the potential of mmWave radar simulation to reduce autonomous machine costs and enable greater levels of autonomy.

Private 5G networks promise to deliver huge business advantage. But, where to start if you are an enterprise, carrier or technology supplier considering deployment? This whitepaper is a practical guide to deploying a private 5G network for maximum business impact, including when using CBRS spectrum in the United States.

The changing regulatory and subsidy systems underpinning farming are undergoing radical change. Furthermore, issues such as soil health, net zero and farm nature value are increasingly in the public eye.

Many believe that even Einstein started out with tabula rasa, a clean slate. An absence of innate, preconceived ideas or predetermined goals. Just like machines in fact...

The construction sector globally is facing many challenges, including availability, cost and safety of labour. It must also confront topics such as environmental sustainability and cost of materials. Meanwhile, DX is a growing trend that can help address these challenges, with automation and autonomous technologies being a key enabler.

Our brand relaunch has landed just as we ramp up our commitment to The Engine, the ambitious venture capital firm spun out of MIT (Massachusetts Institute of Technology) to support ‘Tough Tech’ companies and solve key challenges in climate change, human health and advanced systems. What’s particularly energizing is that as a strategic partner, we get to engage with founders of disruptive start-ups who are so passionate, driven and mission focused. The alignment with our own renewed purpose couldn’t be stronger. 

Simulation is only as good as its approximation to the real world… its ‘equivalence’ in technical terms. We’ve been looking at how using intelligent simulation with a modular framework can deliver results faster to drive autonomous system development forward. 

The world is about to experience significant progress in AI-enabled autonomous mobile systems. Could autonomous mobile robots navigating dynamic environments open up new automation opportunities for industry?

All the drivers are in place. The unprecedented global labor shortage, the sky-high consumer demand, the advanced technology capabilities and the willingness of businesses and VCs to invest are all combining to transformative effect. The world is primed and ready to accelerate the adoption of robotics and automation.

The rate of innovation and adoption of automation & autonomous systems in non-manufacturing segments is growing faster and investments are pouring in. AMR’s (Automated Mobile Robots) are working alongside people in warehouses and helping in improving productivity. But, is this enough?

Cambridge Consultants' Ram Naidu, Senior Vice President, AI, welcomes attendees to the Innovation Acceleration stage at The AI Summit Silicon Valley 2021, day one. 

They are already physically loading our online shopping baskets, vacuuming our homes and maintaining our lawns. But what will it take for automated and autonomous systems to proliferate across industry and society – on the roads, city streets, building sites, fields, factories, and schools?