Posted by Cat Armato, Program Manager, Google Groups across Google actively pursue research in the field of machine learning (ML), ranging from theory and application. We build ML systems to solve deep scientific and engineering challenges in areas of language, music, visual processing, algorithm development, and more. We aim to build a more collaborative ecosystem…
Posted by Donald Martin, Jr., Technical Program Manager, Head of Societal Context Understanding Tools and Solutions (SCOUTS), Google Research AI-related products and technologies are constructed and deployed in a societal context: that is, a dynamic and complex collection of social, cultural, historical, political and economic circumstances. Because societal contexts by nature are dynamic, complex, non-linear,…
On August 10, MIT Technology Review is launching Roundtables, a participatory subscriber-only online event series, to keep you informed about emerging tech. Subscribers will get exclusive access to 30-minute monthly conversations with our writers and editors about topics they’re thinking deeply about—including artificial intelligence, biotechnology, climate change, tech policy, and more. (If you’re not yet…
Posted by Daniel McDuff, Staff Research Scientist, and Yuzhe Yang, Student Researcher, Google Learning from periodic data (signals that repeat, such as a heart beat or the daily temperature changes on Earth’s surface) is crucial for many real-world applications, from monitoring weather systems to detecting vital signs. For example, in the environmental remote sensing domain,…
Meta is going all in on open-source AI. The company is today unveiling LLaMA 2, its first large language model that’s available for anyone to use—for free. Since OpenAI released its hugely popular AI chatbot ChatGPT last November, tech companies have been racing to release models in hopes of overthrowing its supremacy. Meta has been…
Building fair and transparent systems with artificial intelligence has become an imperative for enterprises. AI can help enterprises create personalized customer experiences, streamline back-office operations from onboarding documents to internal training, prevent fraud, and automate compliance processes. But deploying intricate AI ecosystems with integrity requires good governance standards and metrics. To deploy and manage the…
The emergence of consumer-facing generative AI tools in late 2022 and early 2023 radically shifted public conversation around the power and potential of AI. Though generative AI had been making waves among experts since the introduction of GPT-2 in 2019, it is just now that its revolutionary opportunities have become clear to enterprise. The weight…
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. There’s an AI revolution brewing. Last week, Hollywood’s union for actors went on strike, joining a writers’ strike already in progress—the first time these unions have been on strike simultaneously in…
Imagine for a minute that you’re a programming instructor who’s spent many hours making creative homework problems to introduce your students to the world of programming. One day, a colleague tells you about an AI tool called ChatGPT. To your surprise (and alarm), when you give it your homework problems, it solves most of them…
Imagine purchasing a robot to perform household tasks. This robot was built and trained in a factory on a certain set of tasks and has never seen the items in your home. When you ask it to pick up a mug from your kitchen table, it might not recognize your mug (perhaps because this mug…