By Lai Chiu Tang’s top six insights into successful medical device design. Designing a medical device is a challenging creative task. Not only must it be safe, reliable, easy to use and have market appeal, the device must be accepted into people’s lives and lifestyles.
Tough challenges await both the big industry players and the new wave of start=ups with ambitions in warehouse automation.
While full AI consciousness might be some ways off, there are some exciting developments. The need to train machines more quickly, efficiently, and less expensively is a pressing imperative.
To decentralise, or not to decentralise, that is the question. This Web3 dilemma reflects the likely thoughts of current digital leaders who want to make the best use of their digital assets while maintaining trust in their data systems.
The rate adoption of automation and autonomous systems in non-manufacturing segments is growing faster. AMR’s (Automated Mobile Robots) are working alongside people in warehouses and helping in improving productivity. But is this enough?
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?