Microsoft Word Vs. Apple Pages Vs. Google Docs

It’s no secret that I’m a writer- I mean, hell, you’re reading something I’ve written right now.
But to be a writer in 2020, you’re going to need some technology. And that’s what I like to talk about in my Battle Royales. Whether you write on a MacBook or a PC, a Chromebook or an iPad, you’ve got to write on something. Pen and paper just don’t cut it anymore.
But today, I don’t want to compare computers or tablets or even keyboards. No, I want to talk software. Because having tech to write on is the first step, but finding a program to translate your chaotic key-presses into something worth reading is equally important.
And it depends, a lot, on what you are going to need to do in your writing program. Do you need total control over every aspect of how the document appears? Do you need to be able to share your document with others to collaborate on? Are you- like me- writing a novel or a series of novels? Are you writing school papers? Work documents?

#microsoft #apple #tech #writing #google

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Microsoft Word Vs. Apple Pages Vs. Google Docs

It’s no secret that I’m a writer- I mean, hell, you’re reading something I’ve written right now.
But to be a writer in 2020, you’re going to need some technology. And that’s what I like to talk about in my Battle Royales. Whether you write on a MacBook or a PC, a Chromebook or an iPad, you’ve got to write on something. Pen and paper just don’t cut it anymore.
But today, I don’t want to compare computers or tablets or even keyboards. No, I want to talk software. Because having tech to write on is the first step, but finding a program to translate your chaotic key-presses into something worth reading is equally important.
And it depends, a lot, on what you are going to need to do in your writing program. Do you need total control over every aspect of how the document appears? Do you need to be able to share your document with others to collaborate on? Are you- like me- writing a novel or a series of novels? Are you writing school papers? Work documents?

#microsoft #apple #tech #writing #google

Razor Pages vs MVC - Which one is better for your project?

In this article, I will discuss Razor Pages vs MVC on how to choose in ASP.NET Core web applications. You will also see which type of web application is well suited for your project or requirement by looking at benefits and code comparison.

#.net core #.net core razor pages vs mvc #mvc vs razor pages #razor pages vs mvc #razor pages vs mvc how to choose

Google's TPU's being primed for the Quantum Jump

The liquid-cooled Tensor Processing Units, built to slot into server racks, can deliver up to 100 petaflops of compute.

The liquid-cooled Tensor Processing Units, built to slot into server racks, can deliver up to 100 petaflops of compute.

As the world is gearing towards more automation and AI, the need for quantum computing has also grown exponentially. Quantum computing lies at the intersection of quantum physics and high-end computer technology, and in more than one way, hold the key to our AI-driven future.

Quantum computing requires state-of-the-art tools to perform high-end computing. This is where TPUs come in handy. TPUs or Tensor Processing Units are custom-built ASICs (Application Specific Integrated Circuits) to execute machine learning tasks efficiently. TPUs are specific hardware developed by Google for neural network machine learning, specially customised to Google’s Machine Learning software, Tensorflow.

The liquid-cooled Tensor Processing units, built to slot into server racks, can deliver up to 100 petaflops of compute. It powers Google products like Google Search, Gmail, Google Photos and Google Cloud AI APIs.

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AWS v/s Google v/s Azure: Who will win the Cloud War?

In the midst of this pandemic, what is allowing us unprecedented flexibility in making faster technological advancements is the availability of various competent cloud computing systems. From delivering on-demand computing services for applications, processing and storage, now is the time to make the best use of public cloud providers. What’s more, with easy scalability there are no geographical restrictions either.

Machine Learning systems can be indefinitely supported by them as they are open-sourced and within reach now more than ever with increased affordability for businesses. In fact, public cloud providers are increasingly helpful in building Machine Learning models. So, the question that arises for us is – what are the possibilities for using them for deployment as well?

What do we mean by deployment?

Model building is very much like the process of designing any product. From ideation and data preparation to prototyping and testing. Deployment basically is the actionable point of the whole process, which means that we use the already trained model and make its predictions available to users or other systems in an automated, reproducible and auditable manner.

#cyber security #aws vs azure #google vs aws #google vs azure #google vs azure vs aws

In The Google vs Oracle Fight, API Developers Win

On Monday, the United States Supreme Court ruled in favour of Google in its decade long, multibillion-dollar battle with Oracle. The higher court overturned the lower courts’ decision and said Google’s copying of Java API code was fair use. The apex court threw out a lower court ruling that said Android infringed Oracle’s copyrights on the Java software platform. “Google’s copying did not violate the copyright law,” wrote Justice Breyer.

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Oracle bought Sun Microsystem in 2010 and owns Java now. Oracle accused Google of illegally copying more than 11,000 lines of Java API code to develop Android, the OS that powers over two billion smartphones worldwide.

The story dates back to 2005 when Google acquired Android, a fledgling startup then. Back then, software developers understood and wrote programs using the Java programming language: Sun Microsystems’ brainchild.

To determine if Google’s limited copying of the API is fair, the Court examined the following four factors as per the Copyright Act’s fair use provision:

1. Purpose and character of the use
2. Nature of the copyrighted work
3. Amount and substantiality of the portion used in relation to the copyrighted work as a whole and
4. Effect of the use upon the potential market for or value of the copyrighted work.

Making a case for Oracle, Justice Thomas, alongside Justice Samuel Alito, said Google’s copying was unfair. They argued that Google decimated Oracle’s market and created a mobile OS, earning tens of billions of dollars every year. However, Justice Breyer said that Google’s copying for the Android system amounted to just 0.4% of the 2.86 million lines of Java API computer code. He likened it to a “gas pedal in a car that tells the car to move faster or the QWERTY keyboard on a typewriter that calls up a certain letter when you press a particular key.”

“Oracle wanted $9 billion in damages from Google.”

Oracle and Google have been locking horns for nearly a decade now over a chunk of code that makes the APIs work. These APIs or Application Program Interfaces are ubiquitous. Everyone uses them, and developers around the world design them using open-source tools. But, what are these APIs?

According to Gartner, APIs(in the context of machine learning):

• Can make it easier for data scientists to find and choose from the huge variety of available algorithms, experiments.
• Can enable organisations to build advanced analytics solutions in a faster way.
• Can address the skill gap in advanced technology.
• Can help commercialise solutions easily.
• Can enable ease of ML model choosing.

#opinions #api developers #java #oracle vs google #oracle vs google court ruling #oracle vs google java #sun microsystem java