"As variability in many ecosystems is increasing due to global change, there is an urgent need for real-time forecasts to help guide natural resource decision-making,"

these conversations are having daily people are scrambling trying to like we're trying to keep up 00:07:32 with AI in real time scrambling to find out what we're going to do think about all the different businesses that are affected from this

Nvidia has released a new driver update enabling support for Video Super Resolution, which uses AI to improve the quality of most online videos.

Consumers in this group are designed to be dead-simple, performant, and highly resilient. Since the data copied verbatim, no code upgrades are required to support new message types.

Why use Storm? Apache Storm is a free and open source distributed realtime computation system. Storm makes it easy to reliably process unbounded streams of data, doing for realtime processing what Hadoop did for batch processing. Storm is simple, can be used with any programming language, and is a lot of fun to use! Storm has many use cases: realtime analytics, online machine learning, continuous computation, distributed RPC, ETL, and more. Storm is fast: a benchmark clocked it at over a million tuples processed per second per node. It is scalable, fault-tolerant, guarantees your data will be processed, and is easy to set up and operate. Storm integrates with the queueing and database technologies you already use. A Storm topology consumes streams of data and processes those streams in arbitrarily complex ways, repartitioning the streams between each stage of the computation however needed. Read more in the tutorial.