AI is revolutionizing supply chains, optimizing logistics, enhancing sustainability, and transforming global trade operations. But how can businesses harness AI to create resilient, efficient, and sustainable supply networks?
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The Environmental and Energy Study Institute (EESI) invites you to a briefing discussing the intersection of artificial intelligence (AI) and climate change in federal policy-making. While AI can aid in climate resilience and boost economic competitiveness, it is also on a trajectory to increase energy demand, greenhouse gas emissions, and water usage. This paradox presents an important opportunity for discussion on how to best minimize the negative impacts of AI on the environment and harness its powers for a sustainable future.
youtube.com
Shared topics: Cross-cutting sustainability; Governance and society; Weather, hazards, and adaptation; Transport and logistics
Multi-stage cascading failures in power grids can be mitigated by framing the problem as a reinforcement-learning control task, where an agent trained with deterministic policy gradients learns continuous corrective actions in a simulated environment and proves effective on the IEEE 14-bus and 118-bus test systems.
ICLR
Shared topics: Cross-cutting sustainability; Governance and society; Energy and electricity; Transport and logistics
In this episode we put our resident data scientist in the hot seat, and discuss a range of topics across her new book, Clearing the Air. From AI’s energy appetite to the future of your household bills, and why electric vehicles leave Hannah feeling hopeful - her sharp, evidence driven answers will make you reconsider the headlines.
