Almost half of Artificial Intelligence start-ups cashing in on the AI hype


AI is in vogue. But while AI poses tantalising prospects for business, many are still unsure how AI works – or how it’s defined. Despite this lack of understanding, AI is in demand. Not surprising then that a plethora of start-ups entering the market are luring in investors with the promise of artificial intelligence. But is this promise a reality? A new report has some startling findings… Of 2,830 startups in Europe that were classified as being AI companies, it was found that only 1,580 accurately fit that description – that means that 40% of business that are classified as AI startups don’t actually exploit the field of study in any material way…

Don’t believe the hype

Don't believe the artificial intelligence hype
AI is the future, that’s pretty much agreed. But how much is AI the present too? Well, it turns out that’s quite hard to ascertain… Another survey of business leaders on the topic of artificial intelligence (see, it really is in vogue!) has unearthed another problem for AI: That the hype is making it almost impossible to figure out how much businesses really need it and are actually using it. When people say they’re using AI in their business, they may not all mean the same thing; they may not even be describing uses that fall under the rather broad definition of AI; and they may simply be boasting because the technology is just so darn fashionable.

A look inside the black box of Machine Learning

A look inside the black box of Machine Learning
“Machine learning algorithms are often described as “black boxes” — opaque, complicated constructs that produce predictions from input data as if by magic. But the absence of explainability opens the possibility for unintended consequences. Now, in an effort to peel back the curtains on AI systems’ inner workings, scientists at Google and research firm OpenAI today detailed (and open-sourced) a technique that lays bare the component interactions within image-classifying neural networks. They call the visualization an activation atlas, and it illustrates how those interactions shape the model’s decision-making.”

Does this person really exist?

This person does not exist
AI systems can now produce incredibly realistic looking images of people, meaning that deep fakes can be made even more realistic or giving bots their own unique persona. Now an Uber engineer has created a nightmarish website to raise awareness to how creepy this technology could actually be. The site dubbed This Person Does Not Exist shows you, well, images of people who don’t exist in real life, created 100% by AI.

Posted in Uncategorized On March 8, 2019 By

Author Bio

Gordon Laing

Gordon Laing

After years spent plying a trade in journalism, I changed. But journalists never really change, do they? It’s always been about finding and sharing the best insight. And always will be.

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