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A Consumer Reports for AI Services

Many companies pay a fee to use machine learning models developed and provided by another company (e.g., Google, Amazon, or Microsoft) and access these services by way of an API. Stanford researchers created HAPI (History of APIs) as well as two tools that provide consumers with an automated way to choose the best API for a particular task, dataset and budget.

Tutorial on Graph Reinforcement Learning: RL, Graph Neural Networks, and Applications to Mobility

Tutorial on Graph Reinforcement Learning: RL, Graph Neural Networks, and Applications to Mobility
Daniele Gammelli, postdoctoral scholar in the Autonomous Systems Lab, will lead this tutorial to introduce core concepts in the fields of Deep Reinforcement Learning and Graph Neural Networks from the ground up. By the end of the tutorial we will have introduced modern (graph-)reinforcement learning methods, and how to apply them in practice through a case study on intelligent transportation systems.

Grid And Charging Speed Bumps Ahead As Amazon, FedEx And Transit Fleets Go Electric

Stanford researchers estimate the impact of rising EV ownership in the western U.S. could boost power demand as much as 25% by 2035, the year when California has banned the sale of new gasoline-powered passenger vehicles.The study says more EV charging should be done during midday hours—ideally at work or public stations—when wind and solar power supplies are at their peak, sometimes producing more energy than the grid can handle.

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