Reinforcement Learning and Robotics with Nathan Lambert
Reinforcement learning is a paradigm in machine learning that uses incentives- or “reinforcement”- to drive learning. The learner is conceptualized as an intelligent agent working within a system of rewards and penalties in order to solve a novel problem. The agent is designed to maximize rewards while pursuing a solution by trial-and-error. Programming a system The post Reinforcement Learning and Robotics with Nathan Lambert appeared first on Software Engineering Daily.
Machine Learning Carbon Capture with Diego Saez-Gil
Companies can have a negative impact on the environment by outputting excess carbon. Many companies want to reduce their net carbon impact to zero, which can be done by investing in forests. Pachama is a marketplace for forest investments. Pachama uses satellites, imaging, machine learning, and other techniques to determine how much carbon is being The post Machine Learning Carbon Capture with Diego Saez-Gil appeared first on Software Engineering Daily.
TensorFlow Lite with Pete Warden
TensorFlow Lite is an open source deep learning framework for on-device inference. TensorFlow Lite was designed to improve the viability of machine learning applications on phones, sensors, and other IoT devices. Pete Warden works on TensorFlow Lite at Google and joins the show to talk about the world of machine learning applications and the necessary The post TensorFlow Lite with Pete Warden appeared first on Software Engineering Daily.
WebAssembly on IoT with Jonathan Beri (Repeat)
Originally published July 30, 2019 “Internet of Things” is a term used to describe the increasing connectivity and intelligence of physical objects within our lives. IoT has manifested within enterprises under the term “Industrial IoT,” as wireless connectivity and machine learning have started to improve devices such as centrifuges, conveyor belts, and factory robotics. In The post WebAssembly on IoT with Jonathan Beri (Repeat) appeared first on Software Engineering Daily.
Drishti: Deep Learning for Manufacturing with Krish Chaudhury (Repeat)
Originally published April 17, 2019 Drishti is a company focused on improving manufacturing workflows using computer vision. A manufacturing environment consists of assembly lines. A line is composed of sequential stations along that manufacturing line. At each station on the assembly line, a worker performs an operation on the item that is being manufactured. This The post Drishti: Deep Learning for Manufacturing with Krish Chaudhury (Repeat) appeared first on Software Engineering Daily.