Palantir, the software company cofounded by Peter Thiel, is part of an effort by Elon Musk's so-called Department of Government Efficiency (DOGE) to build a new "mega API" for accessing Internal Revenue Service records, IRS sources tell WIRED. For the last three days, DOGE and a handful of Palantir representatives, along with dozens of career IRS engineers, have been collaborating to build a single API layer above all IRS databases at an event previously characterized to WIRED as a "hackathon," sources tell WIRED. Palantir representatives have been on-site at the event this week, a source with direct knowledge tells WIRED. APIs are application programming interfaces, which enable different applications to exchange data, and could be used to move IRS data to the cloud and access it there. DOGE has expressed an interest in the API project possibly touching all IRS data, which includes taxpayer names, addresses, social security numbers, tax returns, and employment data.

Tensorflow federated is the framework we can use for computing data, a decentralized and machine learning domain. Moreover, this framework is completely open sourced. In short, It is also denoted as TTF, which is developed keeping in mind the exploration and research of federated learning to perform all sorts of machine learning experiments. This article will try to understand tensorflow federated, how we can use it, its Model, characteristics, computation API, and finally conclude our view. The framework helps you perform machine learning on completely decentralized data.

For a better approach to make your company smarter, look to APIs. IBM Watson), you can create smarter systems that provide top notch analysis without the need of a data lake. APIs enable data to flow into the machine learning system (since all interactions with the application happens through the APIs, the API traffic represents the totality of all signals about an app's usage). But more importantly, APIs represent a very simple way of taking action. Recommendations can be pushed, for example, as part of the API responses.

Matters of machine intelligence are topics of great interest these days. It reminds me of a statement I read a couple years back from renowned technology writer and author Kevin Kelly: "The business plans of the next 10,000 startups are easy to forecast: Take X and add AI." Although that prediction proved to be a bit off the mark (or perhaps it's still too early for its time), the idea is certainly compelling. Nearly every day I hear of a new startup announcing some new intelligence offering. It's an exciting time to be in the industry.

Matters of machine intelligence are topics of great interest these days. It reminds me of a statement I read a couple years back from renowned technology writer and author Kevin Kelly: "The business plans of the next 10,000 startups are easy to forecast: Take X and add AI." Although that prediction proved to be a bit off the mark (or perhaps it's still too early for its time), the idea is certainly compelling. For a better approach to making your company smarter, look to APIs. Nearly every day I hear of a new startup announcing some new intelligence offering.