Posts Tagged Under: Machine Learning

Making Valuable Predictions with Linear Regression

If you’ve not been living under a rock, you’ve probably already heard about machine learning (ML) technology. After all, on Software Planet’s blog page alone, this topic has already been covered from multiple angles — see here, here and here, for example.

But to those of you who are still furrowing your brows, this not only represents the current state of AI today, but it is also how developers can create “intelligent” products, like the Amazon Alexa or Apple’s much-lauded Siri.

Though of course, none of these would be possible without complex ML algorithms, it is the simple linear regression that enables accurate predictions.

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What You Can Do with Artificial Intelligence Today

If you’re a regular blog reader, you’re probably already aware that when it comes to artificial intelligence, its current state of development is severely misunderstood. Sadly, however, this matter is not helped at all by the many cash-eying marketers who are still promoting the myth that you can purchase sentient tech products.

Take Oral B, for instance. The entire campaign for their Genius X toothbrush is based around the notion that it offers a full slate of quasi-magical AI features. Yet peel away the hype from what is actually objective fact and what users will be left with is an overpriced feedback system, talking a big game but with nothing to back up its claims.

Yes, true artificial intelligence, as it turns out, remains a developer’s pipe dream, as researchers are nowhere near full comprehension of the human mind.

But what then is the actual state of AI technology today — which really should be referred to as machine learning, by the way — and what should companies expect from the most probable future ahead? In this article, Software Planet Group will take a candid look.

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2019 in Digital Transformation

By now, digital transformation is already well under way in the vast majority of organisations, but owing to the market’s notoriously changeable winds, knowing where to invest can quickly turn into a challenge. Just last year, for example, cryptocurrencies were largely being hailed as a great unexamined goldmine, but there is now growing support that these popular technologies are significantly less secure than originally understood. And what of the case of Oracle, which is now charging Java users extortionate licensing fees?

Nonetheless, by staying well abreast of the latest technological trends, Software Planet Group believe that you can make wise decisions that will help your business stay firmly ahead of the game.

So without further ado, it is time to take a look at the year in digital transformation!

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The Difference Between Machine Learning and Artificial Intelligence

Over the past few years, with every new and exciting product, the terms “machine learning” and “artificial intelligence” have increasingly been thrown about. As a result, puzzled consumers everywhere are often left to wonder if they’re really just buzzwords for the exact same thing.

But could that actually be the case? After all, last time we checked, neither Siri nor Alexa were anywhere near the exceptional capabilities of Jarvis from Iron Man, or the solemn, ghoulish precogs in Spielberg’s Minority Report. So what gives, tech world?

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Top Trends Redefining Enterprise IT

If there is one industry that has undergone massive upheaval in the last decade or so, then that would be IT. The term “digital transformation” may be an oft-used cliché, but one can hardly dispute that it remains as current as ever.

Increasingly, because technology has evolved at a pace far greater than anyone could have anticipated, many businesses are being forced to make one of two simple choices — play catch-up or throw in the towel.

So for all the non-quitters out there still trying to navigate this new technological era, here is a compilation of the most important trends that are turning IT on its head:

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Can We Hack the Human Brain?

Although we love to think that our technology is highly advanced, there is much that science is only just beginning to understand about the universe. From the greatest depths of the oceans to the furthest corners of outer space, swathes of earth and cosmos remain teasingly beyond our grasp. But there is a greater mystery concealed just beyond the limits of our immediate perception — the human brain.

In all of the known world, the complexity of the human brain is without rival. While mankind has tried and failed to understand the organ since the days of ancient Egypt, even today, in spite of our best efforts, neuroscientists remain stumped. Experts are still oblivious as to how information is coded in the brain, how memories are stored and retrieved, how cerebral systems integrate with one another, and perhaps ironically, have even failed to crack what intelligence is in the first place.

Yet despite our limitations, ever since 1957, when psychologist Frank Rosenblatt first developed his brain-mimicking Perceptron device, engineers have slowly begun to create hardware that is capable of interacting with the human brain. Today, the field of neurotechnology has already grown to achieve incredible results.

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