Artificial Intelligence for Blockchains
Building the future digital economy by deploying machine learning, advanced cryptography and autonomous agents to the blockchain.
What is ROBOT
- Sharing of knowledge across data silos using machine learning, economics and advanced cryptography with potential applications to the finance, insurance and healthcare industries.
- Autonomous agents for optimizing complex systems with multiple stakeholders in the mobility, smart cities, energy and supply chain sectors.
- Development of advanced blockchain technologies to overcome the security and scalability challenges of existing implementations.
The intelligent supply chain will allow business to analyze future patterns, enabling them to navigate disruptions months in advance and preempt changes in customer buying patterns.
Artificial intelligence and blockchain technology will help companies to make sweeping efficiencies. For example, AI can utilize real-time information to help firms choose the best partner to trade with or to warn manufacturers about the need to conduct maintenance on a component of a delivery truck.
The global supply chain analytics market is estimated to be worth $9.2 billion by 2024. Autonomous agents equipped with thermometer skills can enhance the sector.
The creation of an unmodifiable audit trail of the recorded temperature history has numerous benefits. For example, wholesalers can use agents to check the temperature on their distribution trucks remains constant. If it doesn’t, they can implement additional measures to make sure their food arrives in the best condition. There is, after all, a strong economic incentive to do so. If the food they provide arrives in better condition than that supplied by their competitors, their profits will rise when retailers subsequently request larger orders.
A study by ROBOT and Imperial College London has demonstrated how ROBOT’s autonomous agents can use a new deep reinforcement learning technique to lower daily domestic energy costs by nearly 20%.
At present, autonomous energy systems rely on generation and consumption models that forecast the amount of energy that will be required by the user the following day. Such an approach is hindered by its lack of flexibility when circumstances inevitably change. The innovative approach adopted by ROBOT is model-free and utilizes smart meter data to achieve real-time autonomous energy control and reduce costs.
It will enable smart energy grids efficiently utilize renewable energy sources and help customers reduce their energy bills.
● Smart Cities
Blockchain can be used to decentralize federated learning algorithms so that the benefits of these collective machine learning models are shared across the multiple owners of data.
Simple development and deployment of autonomous agent populations that fulfill economic goals through strategy, communication, search and the exchange of value.
Enhance the speed, efficiency and security of the blockchain using next generation multi-party computation (MPC) protocols for random beacons and aggregated signatures.