Introducing the GenAI models you haven’t heard of yet
Ever since OpenAI’s ChatGPT set adoption records last winter, companies of all sizes have been trying to figure out how to put some of that sweet generative AI magic to use. In fact, according to Lucidworks’ global generative AI benchmark study released August 10, 96% of executives and managers involved in AI decision processes are…
Read MoreIoT Adoption in Healthcare Brings Security Opportunities
By Anand Oswal, Senior Vice President and GM at cyber security leader Palo Alto Networks Connected medical devices, also known as the Internet of Medical Things or IoMT, are revolutionizing healthcare, not only from an operational standpoint but related to patient care. In hospital and healthcare settings around the world, connected medical devices support critical…
Read MoreLeveraging Cybersecurity to Supercharge Retail’s Frontline
By Ravi Balwada, CTO of Guitar Center In retail, we don’t have the luxury of thinking about security as an afterthought. We have to think about security early in the innovation process and make sure our security best practices, governance and architectures are taken into account when we are designing our solutions—everything from defining what…
Read MoreAI Use Case Under Water IOT -Exploring Atlantis
PROTECTING UNDERWATER CULTURAL HERITAGE The Tyrrhenian waters of the Gulf of Naples have long held a secret: an ancient Roman city lost to time over 1800 years ago like Atlantis. It was once renowned for its vacation spots frequented by wealthy Romans, who flocked there en masse and built opulent villas along the shoreline in…
Read MoreRT-1: Robotics Transformer for Real-World Control at Scale
Posted Keerthana Gopalakrishnan and Kanishka Rao, Google Research, Robotics at Google Major recent advances in multiple subfields of machine learning (ML) research, such as computer vision and natural language processing, have been enabled by a shared common approach that leverages large, diverse datasets and expressive models that can absorb all of the data effectively. Although…
Read MorePrivate Ads Prediction with DP-SGD
Posted by Krishna Giri Narra, Software Engineer, Google, and Chiyuan Zhang, Research Scientist, Google Research Ad technology providers widely use machine learning (ML) models to predict and present users with the most relevant ads, and to measure the effectiveness of those ads. With increasing focus on online privacy, there’s an opportunity to identify ML algorithms…
Read MoreRobots That Write Their Own Code
Posted by Jacky Liang, Research Intern, and Andy Zeng, Research Scientist, Robotics at Google <!––><!––> A common approach used to control robots is to program them with code to detect objects, sequencing commands to move actuators, and feedback loops to specify how the robot should perform a task. While these programs can be expressive, re-programming…
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