The demand for smartness in embedded systems has been mounting up drastically in the past few years. Embedded system today must address the fundamental challenges introduced by cloud computing and artificial intelligence. KubeEdge [1] is an edge computing framework build on top of Kubernetes [2]. It provides compute resource management, deployment, runtime and operation capabilities on geo-located edge computing resources, from the cloud, which is a natural fit for embedded systems. Here we propose KubeEdge.AI, an edge AI framework on top of KubeEdge. It provides a set of key modules and interfaces: a data handling and processing engine, a concise AI runtime, a decision engine, and a distributed data query interface. KubeEdge.AI will help reduce the burdens for developing specific edge/embedded AI systems and promote edge-cloud coordination and synergy.

With 2019 emerging as the warmest on record for the world's oceans, the call to climate action continues as the theme for the 50-year anniversary of Earth Day 2020, described as the world's largest environmental movement to drive transformative change for people and planet. Alongside the pandemic, the climate crisis presents an opportunity to use data and AI in ways never before considered. IBM itself began focusing on environmental sustainability before the first Earth Day was ever celebrated -- but its track record on greening its supply chain and driving innovative uses of tech has put it among the world's top eco-friendly Fortune 500 companies. Where IBM leads, customers reap benefits. Digital transformation efforts across industries has given the company a unique vantage point on critical challenges facing the world -- putting AI the work on a number of different issues, from drastically reducing energy consumption to lower C02 to optimizing large scale food production in the wake of climate chaos.

AI and its immense potential, spanning a range of areas, can address some of the major issues in Live Streaming. FREMONT, CA: Streaming constitutes a considerable share of all the data moving around. Video forecast is expected to account for 82 percent of internet traffic by 2022. Artificial intelligence (AI) will play a key role in the streaming industry. With AI's capability to impact a range of industry aspects, leaders are trying to utilize the technology to enhance the streaming space as well.