Today’s data science roles won’t exist in 10 years

In the coming decade, the data scientist role as we know it will look very different than it does today. But don’t worry, no one is predicting lost jobs, just changed jobs.

Data scientists will be fine — according to the Bureau of Labor Statistics, the role is still projected to grow at a higher than average clip through 2029. But advancements in technology will be the impetus for a huge shift in a data scientist’s responsibilities and in the way businesses approach analytics as a whole. And AutoML tools, which help automate the machine learning pipeline from raw

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Researchers developed ‘explainable’ AI to help diagnose and treat at-risk children

A pair of researchers from the Oak Ridge Laboratory have developed an “explainable” AI system designed to aid medical professionals in the diagnosis and treatment of children and adults who’ve experienced childhood adversity. While this is a decidedly narrow use-case, the nuts and bolts behind this AI have particularly interesting implications for the machine learning field as a whole.

Plus, it represents the first real data-driven solution to the outstanding problem of empowering general medical practitioners with expert-level domain diagnostic skills – an impressive feat in itself.

Let’s start with some background. Adverse childhood experiences (ACEs) are a well-studied form

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The ‘intelligent edge’ isn’t always the smartest choice

The notion of the intelligent edge has been around for a few years. It refers to placing processing out on edge devices to avoid sending data all the way back to the centralized server, typically existing on public clouds.

While not always needed, the intelligent edge is able to leverage machine learning technology at the edge, moving knowledge building away from centralized processing and storage. Applications vary, from factory robotics to automobiles to on-premises edge systems residing in traditional data centers. It’s good in any situation where it makes sense to do the processing as close to the data source

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What is a Private Cloud?

Running a business in the digital era like today, of course, must always strive to be able to run with digitalization because if not, it will certainly be left behind from other competitors. In this era of digitalization, data plays a very important role. For that, data storage must be a top priority in running a business. The method of storing data before and now is of course much different. What’s more since the introduction of the cloud system.

Cloud-managed networks technology is increasingly penetrating in almost all sectors of human life. No exception in the business field. The system … Read More

Harley-Davidson’s first ebikes change gears automatically and cost a ton

It was just a few weeks ago that Harley-Davidson revealed its new e-bike subbrand, Serial 1 Cycle Company, but the company has been talking about its entry into the market for years. Today we finally got an in-depth look at the bikes it intends to release in 2021.

Serial 1 is launching with four models aimed at different types of riders:

  • Mosh/Cty ($3,399)
  • Rush/Cty ($4,399)
  • Rush/Cty Step-Thru ($4,499)
  • Rush/Cty Speed ($4,999)

Credit: Serial 1

As you might expect given the company’s reputation, these are all premium bikes, and the “/Cty” suffix implies they are all meant for urban environments. It

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Figuring out programming for the cloud

In the last dozen years or so, we’ve witnessed a dramatic shift from general purpose databases (Oracle, SQL Server, etc.) to purpose-built databases (360 of them and counting). Now programming languages seem to be heading in the same direction. 

As developers move to API-driven, highly elastic infrastructure (where resources may live for days instead of years), they’re building infrastructure as code (IaC). But how to build IaC remains an open question. For a variety of reasons, the obvious place to start was with imperative languages like C or JavaScript, telling a program how to achieve a desired end state.

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