Google was the first company to realize the importance of incorporating machine learning in business processes. This is just one example of how machine learning processes in the recording and processing of data can help businesses grow. With the introduction of automated processes, businesses have become increasingly consumer-centric. Incorporating automated processes to record inventory stock and purchase order data is not a luxury, it's a necessity in today's world.
Very excited for the launch of Apple's Machine Learning blog: https://t.co/SLDpnhwgT5. For example, its Silicon Valley rival, Google, has a subsidiary, DeepMind, which is one of the leaders in a machine learning technology called deep learning or neural networks. Increasingly, interesting applications and techniques for machine learning have been published on ArXiv, a website that collects academic-style papers before they've been peer-reviewed. The first substantive post examines a way to generate simulated images to train a machine learning algorithm using a technique called generative adversarial networks.
The company is working on a new, smaller version of its Google Home speaker that will launch later this year, alongside two new Pixel phones and a new Pixel-branded Chromebook, Android Police reports. In addition to the new speaker, Android Police reports Google is also preparing a new Chromebook that will carry the Pixel name. Importantly, the report notes the new notebook will almost certainly run Chrome OS, not the long-rumored Chrome OS and Android mashup that's been whispered about for so long. Though some reports said Google once had plans to merge Android and Chrome, the company has publicly said it has no plans to retire Chrome OS.
As its rivals get busy in developing self-driving cars, Microsoft is using Artificial Intelligence (AI) to empower autonomous gliders take decisions while they are aloft and has conducted a successful flight test in the US state of Nevada. According to a report in The New York Times late on Wednesday, Ashish Kapoor, an Indian-origin Principal Researcher at Microsoft, is leading a project in which his team tested two gliders designed to navigate the skies on their own. "Guided by computer algorithms that learned from onboard sensors, predicted air patterns and planned a route forward, these gliders could seek out thermals – columns of rising hot air – and use them to stay aloft," the report added. According to Mykel Kochenderfer, Stanford University professor of aeronautics and astronautics, Microsoft's project is a step towards self-driving vehicles "that are nimble enough to handle all the unexpected behavior that human drivers, bicyclists and pedestrians bring to public roads".
There's so much excitement and specialized research taking place that AI has fragmented into several camps such as heuristic programming for game-playing AI, natural language processing for conversational AI, and machine learning for statistical problems. Large labeled and annotated data sets have enabled progress in computer vision, natural language and speech recognition. While a computer beat a human chess champion 21 years ago, it wasn't until two months ago that a different computer beat a human champion at Go. The famed Google Assistant can't recognize that pattern.
After some sleuthing inside the Google app, the team at 9to5Google has found references to headphones that would use Google Assistant to augment the usual physical controls. Other details are scarce, but a mention of a Google Assistant button on a left earcup suggests these are over-ears (possibly wireless) instead of earbuds. Given the timing, though, it wouldn't be shocking if Google had Bisto ready for its now-customary fall hardware event, which could include new Pixel phones, a reborn Chromebook Pixel and an entry-level Home speaker. Google is betting big on AI, and that means making AI technology available wherever possible.
Hate crimes unfortunately happen all over the world, such as in America, and according to Google, it is difficult to track since apparently very little official data is collected on such incidents, which makes it harder for journalists to do their jobs on reporting on such issues since there isn't much to go on. However that's something that Google wants to address using machine learning. The company has announced that Google News Lab will be working with ProPublica in launching a new machine learning tool that will help track hate crimes, and in turn will also help journalists find information that they can use for their reporting. Journalists who are interested in checking out the Documenting Hate News Index will be pleased to learn that the feature is already live and they can take it for a spin if they wish.
Even the trendy technique of "deep learning," which uses artificial neural networks to discern complex statistical correlations in huge amounts of data, often comes up short. Deep learning is very good at bottom-up knowledge, like discerning which patterns of pixels correspond to golden retrievers as opposed to Labradors. I fear, however, that neither of our two current approaches to funding AI research -- small research labs in the academy and significantly larger labs in private industry -- is poised to succeed. A full solution will incorporate advances in natural language processing (e.g., parsing sentences into words and phrases), knowledge representation (e.g., integrating the content of sentences with other sources of knowledge) and inference (reconstructing what is implied but not written).
The idea is to gather a rich data set around the first total solar eclipse to cross a large portion of the United States in almost 100 years. Technology has changed exponentially in the last century; this rare cosmic event is the first time many will experience a total eclipse, and it's also an opportunity to experience it with new technology. And in Google's case, that means using their machine learning to study this eclipse and develop new ways to study cosmic events in the future. The initiative is in collaboration with a group of scientists led by University of California, Berkeley's Space Sciences Laboratory, who came up with the idea of crowdsourcing an image archive of next week's total solar eclipse back in 2011.
Google has opened up its Home smart speaker in a big way. Today the search giant has added Bluetooth audio to the device for everyone, after teasing it back at I/O in May and slowly rolling out to select users after that. This is perfect if your app of choice doesn't support Google Cast. And here you probably thought that the recent music-related Google Home news would stop with Spotify.