AI decisions are also opaque. How neural networks come to conclusions is very hard to analyse, meaning if they make a crucial mistake, such as missing cancer in an image, it’s very difficult to find out why they made the mistake or tohold them accountable. This could slow the progress ...
It is predicted that the AI market will reach $60 billion by the year 2025. By the year 2030, the AI will increase the GDP by $15.7 trillion. Since 2000 many start-ups invest in AI. It is predicted that robots along with AI will behave more like humans. 77 percent of the electronic...
What is AI, exactly? The question may seem basic, but the answer is kind of complicated. In the broadest sense, AI refers to machines that can learn, reason, and act for themselves. They can make their own decisions when faced with new situations, in the same way that humans and ...
Fortune reports thousands of jobs lost to AI, which it explicitly says is “certainly undercounting.” Trouble knowing why it came to a particular conclusion. With neural networks, you can’t know exactly why or how they give a particular output—it can’t be traced directly back to a ...
The terms and definitions involved are so nebulous that it's hard to have a genuine discussion about AI without first outlining exactly what you mean by it. So let's explore what artificial intelligence is, why it's so hard to define well, how we got to this point, and what it can...
Yet in all the conversations I’ve had with people at the cutting edge of this technology, no one has given a straight answer about exactly what it is they’re building. (A quick side note: This piece focuses on the AI debate in the US and Europe, largely because many of the best-...
allowing for the AI generator to hone in on exactly what the expected output should be. A GAN has to take into account trade-offs, and what outputs are generated with an overzealous generator that is adding or removing critical details. Or what is the impact on the output results and perfo...
What is Explainable AI (XAI)? Artificial intelligence has led to significant progress being made, by automating many processes and processing data patterns with high efficiency. However, AI also raises many questions, such as how decisions are made exactly. Explainable AI aims to make the results...
Artificial narrow intelligence (sometimes considered weak AI, but that really gets into the semantics of AI research) is an AI system that's designed to perform specific tasks. While there will always be disagreement as to what exactly constitutes AI and where the bar is set, let's look at...
This is a somewhat appropriate definition of Artificial Intelligence because it is exactly what AI systems today are doing, and more importantly, it reflects an important characteristic of human beings which separates us from traditional computer systems: human beings are prediction machines. We deal ...