Machine Learning Archives - Software Engineering Daily

MindsDB: Automated Machine Learning with Jorge Torres

Using artificial intelligence and machine learning in a product or database is traditionally difficult because it involves a lot of manual setup, specialized training, and a clear understanding of the various ML models and algorithms. You need to develop the right ML model for your data, train the model, evaluate it, optimize it, analyze it The post MindsDB: Automated Machine Learning with Jorge Torres appeared first on Software Engineering Daily.

Creation Labs: Self Driving Trucks with Jakub Langr

Creation Labs is helping bring Europe 1 step closer to fully autonomous long haul trucking. They have developed an AI Driver Assistance System (AIDAS) that retrofits to any commercial vehicle, starting with VW Crafters and MAN TGE trucks. Their system uses camera hardware mounted to the vehicle to capture video data that is processed with The post Creation Labs: Self Driving Trucks with Jakub Langr appeared first on Software Engineering Daily.

Pinecone: Vector Database with Edo Liberty

Vectors are the foundational mathematical building blocks of Machine Learning. Machine Learning models must transform input data into vectors to perform their operations, creating what is known as a vector embedding. Since data is not stored in vector form, an ML application must perform significant work to transform data in different formats into a form The post Pinecone: Vector Database with Edo Liberty appeared first on Software Engineering Daily.

OctoML: Automated Deep Learning Engineering with Jason Knight and Luis Ceze

The incredible advances in machine learning research in recent years often take time to propagate out into usage in the field. One reason for this is that such “state-of-the-art” results for machine learning performance rely on the use of handwritten, idiosyncratic optimizations for specific hardware models or operating contexts. When developers are building ML-powered systems The post OctoML: Automated Deep Learning Engineering with Jason Knight and Luis Ceze appeared first on Software Engineering Daily.

iRobot with Chris Svec

Embedded Software Engineering is the practice of building software that controls embedded systems- that is, machines or devices other than standard computers. Embedded systems appear in a variety of applications, from small microcontrollers, to consumer electronics, to large-scale machines such as cars, airplanes, and machine tools.  iRobot is a consumer robotics company that applies embedded The post iRobot with Chris Svec appeared first on Software Engineering Daily.