machine learning

End-to-end, no-code multi-cloud management application platform emma, today announces that it has raised $6 million in Seed funding in a round led by RTP Global, with participation from AltaIR Capital and CircleRock Capital.

Amazon Web Services (AWS) and AI startup Hugging Face will be partnering to bring the language generation tool to customers of the AWS cloud. This announcement illustrates the heated arms race in AI, which saw both Microsoft and Google investing heavily in AI.

Mindtech Global, developer of a platform for the creation of synthetic data for training AI, has published details on how machine learning engineers can radically speed up the time it takes to train their AI vision systems to see and understand the world around them.

A UK healthcare AI company says winning the ‘Nobel Prize’ in biopharmaceutical research for its X-ray analysis algorithm is important proof of the scientific validity of using Machine Learning in diagnosis.

Real-world confirmation of extensive penetration of machine learning into the FS sector seem to back up claims of significant ROI by automation vendors.

CIOs and CFOs who want to maximize the benefits of automation increasingly turn to the next step, the addition of Artificial Intelligence (AI) functions. Increasingly, automation solutions are designed to help organizations tackle not only single processes but achieve end-to-end automations, by adding  technologies like machine learning (ML) and natural language processing. This week UiPath organized the AI Summit, where these trends were discussed. Rocking Robots sat down with Boris Krumrey, Global VP Automation Innovations at UiPath.

Fashion start-up Lalaland will run its e-commerce fashion platform on Amazon Web Services. Virtual fashion models are generated on this platform using AI and machine learning, representing different body types, sizes, hair types and skin tones that are closest to the shopper’s preference.

Engineering researchers have developed a hybrid machine-learning approach to muscle gesture recognition in prosthetic hands that combines an AI technique normally used for image recognition with another approach specialized for handwriting and speech recognition. The technique is achieving far superior performance than traditional machine learning efforts.

As part of their machine learning internship, two University of Adelaide computer science students, Christopher Fusco and Jash Vira, created a neural network that was able to learn how to make beer by studying a vast trove of brewing records. The result is a unique AI-designed IPA.

Hyperscience announced it raised $100 million in Series E funding led by existing investors Global Founders Capital, Tiger, Stripes, and Bessemer. The new round of investment enables Hyperscience, with nearly 400 global employees—a 72% increase year-over-year—to further invest in talent and R&D, both organically and through acquisition.