During the first of two Google I/O keynotes this week, Google announced LaMDA 2, the follow-up to an AI system, LaMDA, that the company introduced at Google I/O 2021. Short for Language Models for Dialog Applications, Google claims that LaMDA 2 can break down complex topics into straightforward, digestible explanations and steps as well as generate suggestions in response to questions. LaMDA 2, an AI system built for "dialogue applications," can understand millions of topics and generate "natural conversations" that never take the same path twice, Google says. Like most AI systems, LaMDA 2 learns how likely words are to occur in a body of text -- usually a sentence -- based on many, many examples of text. Examples come in the form of documents within training datasets, which contain terabytes to petabytes of data scraped from social media, Wikipedia, books, software hosting platforms like GitHub, and other sources on the public web.

During a livestreamed event this afternoon, Google detailed the ways it's applying AI and machine learning to improve the Google Search experience. Soon, Google says users will be able to see how busy places are directly in Google Maps without having to search for a specific business, an expansion of the existing busyness metrics. The company also said it's adding COVID- 19 safety information to business profiles across Search and Maps, revealing whether they're using safety precautions like temperature checks and more. An algorithmic improvement to "Did you mean," Google's spell-checking feature for Search, will enable more accurate and precise spelling suggestions. Google says the new model contains 680 million parameters and runs in less than three milliseconds.

What remains is a fingerprint Google compares with thousands of songs from around the world to identify potential matches in real time, much like the Pixel's Now Playing feature. "From new technologies to new opportunities, I'm really excited about the future of search and all of the ways that it can help us make sense of the world," Raghavan said. Last month, Google announced it will begin showing quick facts related to photos in Google Images, enabled by AI. Starting in the U.S. in English, users who search for images on mobile might see information from Google's Knowledge Graph -- Google's database of billions of facts -- including people, places, or things germane to specific pictures. Google also recently revealed it is using AI and machine learning techniques to more quickly detect breaking news around natural disasters and other crises.

All too often, we search for an app and end up finding what looks to be the best fit for our needs. But that is until one sees the long list of permissions the application thinks it needs to function. Some developers tend to call for permissions for functionality that their app clearly does not need, like an expense tracker needing the RECORD_AUDIO permission, indicating a high possibility of a nefarious motive. Google does realize that many such applications plague the Google Play Store. While the technologically adept users may keep a close eye on the permissions they grant to any app, the normal user usually just presses on "Accept" till they reach their end result.

During today's Google I/O 2016 keynote, the company focuses on its efforts in machine learning and AI, to help improve efforts in robotics, medicine and more The machine learning segment was the last part of the keynote, which was presented by Google CEO Sundar Pichai. He stated that the company has open-sourced part of its machine learning platform, TensorFlow, as well as parts of its Cloud Platform APIs. This will allow for developers to access its computer vision APIs and specialized hardware. Google has also started building customized machine learning hardware, called Tensor Processing Units (TPUs). That hardware was used to power AlphaGo, a version of the classic game Go.