Posted by Dave Hawkey, Software Engineer, Google Research Two years ago we announced Project Guideline, a collaboration between Google Research and Guiding Eyes for the Blind that enabled people with…
LatticeFlow, the leading Artificial Intelligence (AI) platform for enabling Enterprises to build performant, safe, and trustworthy AI systems at scale – today, announced its strategic expansion into the US market…
WELL launches WELL AI Inbox Admin, a powerful AI-powered system that creates efficient custom workflows to help optimize clinical operations and manage incoming documents such as faxes which are still…
In the wake of the generative AI (GenAI) revolution, UK businesses find themselves at a crossroads between unprecedented opportunities and inherent challenges. Paul O’Sullivan, Senior Vice President of Solution Engineering…
Company is another step closer to making secure, accurate, and inclusive digital identity verification widely available to federal agencies focused on fighting fraud and improving online services Socure, the leading provider of…
Award-winning ProGPT debuts as handy generative AI assistant for pharmaceutical brand teams to refine and explore care-and-share insights via chat experience Prospection—the pioneer of patient-centric intelligence—today announced the availability of Prospection…
ChatGPT has revolutionized the capability of easily producing a wide range of fluent text on a wide range of topics. But how good are they really? Language models are prone…
Neptune Software, a leader in no-code/low-code enterprise app development, is thrilled to announce the newest release of its product [Neptune DXP 23] unveiling the groundbreaking AI assistant, Naia, and its profound…
In a recent announcement, Google’s DeepMind, in collaboration with YouTube, introduced Lyria, a music generation model poised to transform the landscape of artistic expression. This innovative technology, accompanied by two…
One of the main paradigms in machine learning is learning representations from several modalities. Pre-training broad pictures on unlabeled multimodal data and then fine-tuning ask-specific labels is a common learning…