Posted by Catherine Armato, Program Manager, Google This week the 37th annual Conference on Neural Information Processing Systems (NeurIPS 2023), the biggest machine learning conference of the year, kicks off in New Orleans, LA. Google is proud to be a Diamond Level sponsor of NeurIPS this year and will have a strong presence with >170…
Posted by Yangsibo Huang, Research Intern, Google Research; Chiyuan Zhang, Research Scientist, Google Research Large embedding models have emerged as a fundamental tool for various applications in recommendation systems [1, 2] and natural language processing [3, 4, 5]. Such models enable the integration of non-numerical data into deep learning models by mapping categorical or string-valued…
There are two bowls on the kitchen table: one made of plastic, the other metal. You ask the robot to pick up the bowl and put it in the microwave. Which one will it choose? A human might ask for clarification, but given the vague command, the robot may place the metal bowl in the…
Artificial intelligence models that pick out patterns in images can often do so better than human eyes — but not always. If a radiologist is using an AI model to help her determine whether a patient’s X-rays show signs of pneumonia, when should she trust the model’s advice and when should she ignore it? A…
Posted by Mar Gonzalez-Franco, Research Scientist, Google AR & VR As virtual reality (VR) and augmented reality (AR) technologies continue to grow in popularity, virtual avatars are becoming an increasingly important part of our digital interactions. In particular, virtual avatars are at the center of many social VR and AR interactions, as they are key…
Advances in machine learning (ML) and AI are emerging on a near-daily basis—meaning that industry, academia, government, and society writ large are evolving their understanding of the associated risks and capabilities in real time. As enterprises seek to capitalize on the potential of AI, it’s critical that they develop, maintain, and advance state-of-the-art ML practices…
Designing new compounds or alloys whose surfaces can be used as catalysts in chemical reactions can be a complex process relying heavily on the intuition of experienced chemists. A team of researchers at MIT has devised a new approach using machine learning that removes the need for intuition and provides more detailed information than conventional…
Eric Evans will be stepping down as director of MIT Lincoln Laboratory on July 1, 2024, after 18 years leading a laboratory that has served the nation through its technology research and development since 1951. Evans will transition into the role of fellow in the director’s office at Lincoln Laboratory. He will also hold an…
Google released the first phase of its next-generation AI model, Gemini, today. Gemini reflects years of efforts from inside Google, overseen and driven by its CEO Sundar Pichai. (You can read all about Gemini in our report from Melissa Heikkila and Will Douglas Heaven here.) Pichai, who previously oversaw Chrome and Android, is famously product-obsessed….
Hype about Gemini, Google DeepMind’s long-rumored response to OpenAI’s GPT-4, has been building for months. Today the company finally revealed what it has been working on in secret all this time. Was the hype justified? Yes—and no. Gemini is Google’s biggest AI launch yet—its push to take on competitors OpenAI and Microsoft in the race…