AI ANALYTICS

UC Berkeley Researchers Propose LERF In our daily lives, Berkeley we frequently have to use natural language to explain our 3D surroundings. For this purpose, we make use of various properties of objects present in the physical world. They can include things like their semantics, associated entities, and overall appearance. On the other hand, when it comes to a digital setting, Neural Radiance Fields, commonly known as NeRFs, are a kind of neural network that…

State-of-the-art speech AI for 100+ languages – Google AI Blog Posted by Yu Zhang, Research Scientist, and James Qin, Software Engineer, Google Research Google AI Blog: Last November, we announced the 1,000 Languages Initiative, an ambitious commitment to build a machine learning (ML) model that would support the world’s one thousand most-spoken languages, bringing greater inclusion to billions of people around the globe. However, some of these languages are spoken by fewer than twenty million…

Weakly supervised and unsupervised training approaches have shown outstanding performance on various audio processing tasks, including voice recognition, speaker recognition, speech separation, and keyword spotting, thanks to the availability of large-scale online datasets. Researchers at Oxford developed a speech recognition system called Whisper that makes use of this extensive database on a larger scale. Utilizing 125,000 hours of English translation data and 680,000 hours of noisy speech training data in 96 additional languages, they demonstrate…

Learn how to use the NetworkX package to visualize complex networks Photo by Alina Grubnyak on Unsplash A network graph is a form of visualization that enables you to visualize and analyze the relationships between entities. For example, the following figure shows the contribution of Wikipedia editors to the various Wikipedia language versions during one month in the summer of 2013. Source: https://en.wikipedia.org/wiki/Graph_theory#/media/File:Wikipedia_multilingual_network_graph_July_2013.svg From the network graph, you can gather a few observations: English (en)…

Posted by Krzysztof Choromanski, Staff Research Scientist, Robotics at Google, and Xuesu Xiao, Visiting Researcher, George Mason University Despite decades of research, we don’t see many mobile robots roaming our homes, offices, and streets. Real-world robot navigation in human-centric environments remains an unsolved problem. These challenging situations require safe and efficient navigation through tight spaces, such as squeezing between coffee tables and couches, maneuvering in tight corners, doorways, untidy rooms, and more. An equally critical…

Amazon Kendra is a highly accurate and simple-to-use intelligent search service powered by machine learning (ML). Amazon Kendra offers a suite of data source connectors to simplify the process of ingesting and indexing your content, wherever it resides. Valuable data in organizations is stored in both structured and unstructured repositories. An enterprise search solution should be able to pull together data across several structured and unstructured repositories to index and search on. One such unstructured…