
Google AI: Pathways Language Model can explain a joke
Google AI’s Pathways Language Model is able to handle many tasks at the same time. The world has been open-eyed to what large language models (LLMs) may do with very little data for nearly two years, responsibly answering questions, translating text, and even creating their own bits of creative writing

Your choice of XaaS provider can make or break your business
Anything as a Service (XaaS) is a term that refers to a broad category of cloud computing and remote access services. Anything as a service is an all-encompassing phrase that refers to providing anything as a service. Businesses can pay a monthly subscription to a managed service provider to ensure

Google releases TF-GNN for creating graph neural networks in TensorFlow
Google today released TensorFlow Graph Neural Networks (TF-GNN) in alpha, a library designed to make it easier to work with graph-structured data using TensorFlow, its machine learning framework. Used in production at Google for spam and anomaly detection, traffic estimation, and YouTube content labeling, Google says that TF-GNN is designed to “encourage

Collaboration is key to achieving trust and transparency in the new era of digital identity
As consumers across the globe become increasingly aware of their digital identity and personal data rights and further regulations take hold, it’s unsurprising that Google has announced it will not be replacing third-party cookies with identifiers and email addresses. Advertisers now need to look for new ways to engage valuable

Three Trends in Data Science Jobs You Should Know
If you are a Data Scientist wondering what companies could have the most career opportunities or an employer looking to hire the best data science talent but aren’t sure what titles to use in your job listings — a recent report using Diffbot’s Knowledge Graph could hold some answers for

It’s a Wrap: Highlights from Data Natives 2018
How do you merge the perspectives of the data scientists, entrepreneurs, investors, student and CTO’s under one roof when it comes to data-driven decisions? How do you bring together the likes of Google and IBM with academics and universities to find answers to the most relevant questions in the world

Understanding Dimensionality Reduction and its Applications
Dimensionality reduction as means of feature extraction Feature extraction is a very broad and essential area of data science. It’s goal is to take out salient and informative features from input data, so that they can be used further in predictive algorithms. Modern data scientists observe large amounts of data,

How Data Science Is Driving The Driverless Car
Google may be the first name associated with driverless cars, but they’re not the only ones interested in the technology. More importantly, it seems people have wildly different opinions on exactly how the story will play out. How much data will these cars produce? What kind of legal quandaries will

Top 10 Big Data Videos on Youtube
Whether you’re entirely new to the field of big data, or looking to expand your machine learning knowledge; whether you have 3 hours or 3 minutes; whether you want you want to know more about the technology, or the high-level applications- this list is a sample of the best Youtube

First Round of Confirmed Speakers Announced for Data Natives 2015
Data Natives, a first-of-its-kind conference for the data-driven generation, is set to bring together the brightest minds in data science and related technologies for a 2-day event in Berlin November 19-20. What’s on the agenda Data Natives features a packed agenda designed for those looking to push the boundaries of