Reading Time: 12 minutes Regardless of the industry or product, customers are the most important component in a business’s success and growth. Businesses go
Reading Time: 5 minutes Higher-order derivatives can capture information about a function that first-order derivatives on their own cannot capture. First-order derivatives can capture
Reading Time: 2 minutes Amazon Kendra is an intelligent search service powered by machine learning (ML). Amazon Kendra reimagines enterprise search for your websites
Reading Time: 9 minutes The ability to scale machine learning operations (MLOps) at an enterprise is quickly becoming a competitive advantage in the modern
Reading Time: 10 minutes We’re releasing Triton 1.0, an open-source Python-like programming language which enables researchers with no CUDA experience to write highly efficient
Reading Time: 6 minutes Posted by John Quinn, Software Engineer, Google Research, Ghana An accurate record of building footprints is important for a range
Reading Time: 6 minutes 우리는 점점 협업이 중요해지는 시대에 살고 있습니다. 도메인과 기술, 각각의 분야는 갈수록 세밀해지고 고도화되고 있기 때문에, 혼자서 이 모든 것을
Reading Time: 4 minutes Gradient descent procedure is a method that holds paramount importance in machine learning. It is often used for minimizing error
Reading Time: 5 minutes Posted by Michael Bendersky and Xuanhui Wang, Software Engineers, Google Research In December 2018, we introduced TF-Ranking, an open-source TensorFlow-based library
Reading Time: 9 minutes Receipts and invoices are documents that are critical to small and medium businesses (SMBs), startups, and enterprises for managing their
Reading Time: 5 minutes There are multiple scenarios in which you may want to use computer vision to detect small objects or symbols within
Reading Time: < 1 minute In new work, algorithmic advances and new training environments lead to agents which exhibit general heuristic behaviours.
Reading Time: 9 minutes The world we live in is constantly changing, and so is the data that is collected to build models. One
Reading Time: 4 minutes As of now, numerous businesses use computing technology to streamline their operations. And most probably, you’re one of them. Honestly,
Reading Time: 5 minutes Partial derivatives and gradient vectors are used very often in machine learning algorithms for finding the minimum or maximum of
Reading Time: 9 minutes With machine learning (ML), more powerful technologies have become available that can automate the task of detecting visual anomalies in
Reading Time: 6 minutes Posted by Samuel J. Yang, Research Scientist and Dick Lyon, Principal Scientist, Google Research For the ~466 million people in
Reading Time: 4 minutes Vector valued functions are often encountered in machine learning, computer graphics and computer vision algorithms. They are particularly useful for
Reading Time: 5 minutes Every machine learning (ML) model demands data to train it. If your model isn’t predicting Titanic survival or iris species,
Reading Time: 8 minutes For the past few decades, physician burnout has been a challenge in the healthcare industry. Although patient interaction and diagnosis
Reading Time: 4 minutes We consider a problem: Can a machine learn from a few labeled pixels to predict every pixel in a new
