Favorite From the early days of the internet to the development of the Human Genome Project, U.S. government-funded R&D has yielded remarkable progress for society, and today it is an important engine for AI research. That’s why, last year, we were proud to announce our partnership with the U.S. National
Favorite The ability to scale machine learning operations (MLOps) at an enterprise is quickly becoming a competitive advantage in the modern economy. When firms started dabbling in ML, only the highest priority use cases were the focus. Businesses are now demanding more from ML practitioners: more intelligent features, delivered faster,
Favorite Between 2020 and 2050, Africa’s population is expected to double, adding 950 million more people to its urban areas alone. However, according to 2018 figures, a scarcity of affordable housing in many African cities has forced over half of the city dwellers in Sub-Saharan Africa to live in informal
Favorite In 2019, our Quantum AI team achieved a beyond-classical computation by outperforming the world’s fastest classical computer. Today, a quantum processor from the Sycamore generation that accomplished this important computing milestone will be donated to the Deutsches Museum of Masterpieces of Science and Technology in Munich, Germany. The Deutsches
Favorite There are multiple scenarios in which you may want to use computer vision to detect small objects or symbols within a given image. Whether it’s detecting company logos on grocery store shelves to manage inventory, detecting informative symbols on documents, or evaluating survey or quiz documents that contain checkmarks
Favorite Receipts and invoices are documents that are critical to small and medium businesses (SMBs), startups, and enterprises for managing their accounts payable processes. These types of documents are difficult to process at scale because they follow no set design rules, yet any individual customer encounters thousands of distinct types
Favorite The world we live in is constantly changing, and so is the data that is collected to build models. One of the problems that is often seen in production environments is that the deployed model doesn’t behave the same way as it did during the training phase. This concept
Favorite We often approach leaders and try to sell KM on the benefits it will deliver to their staff, forgetting that leaders are knowledge workers too. The Manager by MaxTortt on Flickr If we think of knowledge workers are “people who make decisions for a living”, then managers and leaders
Favorite With machine learning (ML), more powerful technologies have become available that can automate the task of detecting visual anomalies in a product. However, implementing such ML solutions is time-consuming and expensive because it involves managing and setting up complex infrastructure and having the right ML skills. Furthermore, ML applications
Favorite This is a guest post authored by Paul Ngo, US Gas Technical and Operational Services Data Team Lead at TC Energy. TC Energy operates a network of pipelines, including 57,900 miles of natural gas and 3,000 miles of oil and liquid pipelines, throughout North America. TC Energy enables a