Posted by Yicheng Fan and Dana Alon, Software Engineers, Google Research Every byte and every operation matters when trying to build a faster model, especially if the model is to run on-device. Neural architecture search (NAS) algorithms design sophisticated model architectures by searching through a larger model-space than what is possible manually. Different NAS algorithms,…
Can you imagine a car company putting a new vehicle on the market without built-in safety features? Unlikely, isn’t it? But what AI companies are doing is a bit like releasing race cars without seatbelts or fully working brakes, and figuring things out as they go. This approach is now getting them in trouble. For…
This post is a brief commentary on Martin Fowler’s post, An Example of LLM Prompting for Programming. If all I do is get you to read that post, I’ve done my job. So go ahead–click the link, and come back here if you want. There’s a lot of excitement about how the GPT models and…
Posted by Malaya Jules, Program Manager, Google This week, the Conference on Human Factors in Computing Systems (CHI 2023) is being held in Hamburg, Germany. We are proud to be a Hero Sponsor of CHI 2023, a premier conference on human-computer interaction, where Google researchers contribute at all levels. This year we are presenting over…
Posted by Ruofei Du, Interactive Perception & Graphics Lead, Google Augmented Reality, and Na Li, Tech Lead Manager, Google CoreML Recent deep learning advances have enabled a plethora of high-performance, real-time multimedia applications based on machine learning (ML), such as human body segmentation for video and teleconferencing, depth estimation for 3D reconstruction, hand and body…
This article is from The Checkup, MIT Technology Review’s weekly biotech newsletter. To receive it in your inbox every Thursday, sign up here. Would you trust medical advice generated by artificial intelligence? It’s a question I’ve been thinking over this week, in view of yet more headlines proclaiming that AI technologies can diagnose a range…
Property assessments sit at the center of home appraisals, insurance claims, renovation projects, and a number of other important processes. Inaccurate or delayed assessments can set projects back and stick consumers with higher costs. Now, a platform first developed at MIT makes creating detailed property assessments as easy as snapping a few pictures. The alumni-founded…
Posted by Rajat Sen and Abhimanyu Das, Research Scientists, Google Research Time-series forecasting is an important research area that is critical to several scientific and industrial applications, like retail supply chain optimization, energy and traffic prediction, and weather forecasting. In retail use cases, for example, it has been observed that improving demand forecasting accuracy can…
MIT researchers are using artificial intelligence to design new proteins that go beyond those found in nature. They developed machine-learning algorithms that can generate proteins with specific structural features, which could be used to make materials that have certain mechanical properties, like stiffness or elasticity. Such biologically inspired materials could potentially replace materials made from…
Posted by Lauren Wilcox, Senior Staff Research Scientist, on behalf of the Technology, AI, Society and Culture Team Google sees AI as a foundational and transformational technology, with recent advances in generative AI technologies, such as LaMDA, PaLM, Imagen, Parti, MusicLM, and similar machine learning (ML) models, some of which are now being incorporated into…