Farquhar, the Tech Council of Australia CEO, told ABC's 7.30 program on Tuesday: "all AI usage of mining or searching or going across data is probably illegal under Australian law and I think that hurts a lot of investment of these companies in Australia". Farquhar's claim overlooks that this is not a settled issue in the US, and could have devastating effects on creative industries. Farquhar's argument is that it is not theft of people's work unless the AI is used to "copy an artist directly" such as creating a song in their style. "I do think people would say that, hey, if people are going to sit down with a digital companion, an AI song creator and they collaboratively work with an AI to create something new to the world, that's probably fair use." Farquhar said the benefits of large language models outweigh the issues raised by AI training its data on other people's work for free.

"AI" applications are so specialized that they need dedicated neural processing units to work. Apparently, anyway -- what benefits these NPUs can actually offer for typical users isn't exactly clear. The Raspberry Pi AI Kit comes with a Hailo-8L accelerator module with an M.2 interface, plus the PCIe 3.0 breakout board needed to use it and install it onto a Pi 5. The module can handle 13 teraflops of data per second over an 8Gbps connection. That's some great alphabet soup, but what can this thing actually do?

Reinforcement learning is the process by which a machine learning algorithm, robot, etc. can be programmed to respond to complex, real-time and real- …

Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! Machine learning (ML) might be considered the core subset of artificial intelligence (AI), and reinforcement learning may be the quintessential subset of ML that people imagine when they think of AI. Reinforcement learning is the process by which a machine learning algorithm, robot, etc. can be programmed to respond to complex, real-time and real-world environments to optimally reach a desired target or outcome. Think of the challenge posed by self-driving cars.

Watching an AI train, for those of us who aren't developers, is about as exciting as watching paint dry or grass grow. But, every once in a while someone throws some ninjas into the mix and makes it fun. An AI programmer who goes by the GitHub handle Ash47 recently published a series of projects designed to demonstrate how machines learn. He creates psuedo-gaming environments where AI has to accomplish a simple goal: stay alive. The most interesting thing about the AI in his projects isn't what they can do, it's how they learn to do it.

It's time to take a long, hard look at the potential benefits of artificial intelligence for your company -- because your competitors are. The Global Center for Digital Business Transformation found that digital disruptors like AI and machine learning have the potential to overturn entrenched industry leaders and transfigure entire markets faster, they say, than perhaps any force in history. Consider AI's four major benefits: The problem is that despite the rise in the number of conversations around the benefits of AI, business leaders are still essentially flying blind when it comes to decision-making around artificial intelligence. We're all on the same first page -- AI is bigger than big, more important than mobile phones or fire. Adopt early, and choose the use cases that will offer the biggest impact on your business for your customers, and in your industry. But both internally and externally, there's no one-size-fits-all approach to AI, because that would be too easy.