There's a scene in The Matrix when Morpheus explains to Neo that the Matrix is a world governed by rules and that those rules can be manipulated or broken. In effect, what Morpheus was advocating was finding ways to carry out an action that the software didn't anticipate in order to generate an unexpected outcome. That's what anti-AI is about.
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We're getting to that time of the year when we're thinking about submitting our tax returns and, hopefully, scoring a nice little refund. But, sometimes, the cost of getting your return done and the time it takes puts us off. If you trust Facebook Messenger, TaxBot offers a quick and easy solution for people who have simple tax returns.
Google Lens, once a Pixel-only feature, is now a part of the Google Photos app (or a standalone Android download). During Google I/O this year, Google announced a number of new features for Google Lens, and you can play with them on both iOS and Android right now - assuming your device now supports Lens in its Camera app (or the standalone Lens app, if it doesn't).
Artificial intelligence is one of those technologies that promises a lot but, so far, hasn't delivered on all its promise. Many of us use AI every day, whether it's to get directions to a new place, or when we interact with a chatbot on a website. But our experience with AI can often leave us a little cold, wondering how technology can get things so terribly wrong. Some researchers at the Massachusetts Institute of Technology (MIT) looked at this when they created Norman - a very dark form of AI.
Machine learning and artificial intelligence are near the top of the list of items dominating discussions about digital transformation. Chris Bedi is the CIO at ServiceNow and he said, during a briefing at the company's Knowledge 18 event, CEOs are now value in speed over cost. As businesses are changing, he says there's a huge sense of urgency as companies want to ensure they're not left behind.
We've all been online when an ad or "sponsored post" appears that seems to a little more about you than you expect or want. It might be a post spruiking enagement rings or a dating agency following a change in relationship status that you thought had been kept private, or offers to buy a product of a personal nature. While in some contexts, those offers might be helpful, some of us may find them creepy. And that's what a recent report found.
Microsoft has made a bunch of announcements at their SharePoint Virtual Summit. The big change on the SharePoint side of things is Spaces - which give a virtual reality spin to how people interact with information stored in SharePoint. Artificial intelligence has been further integrated in to Office 365 with the ability to better understand what you were working on as well offer more information about images you use and an improved way of working with files in Microsoft Teams.
Lots of discussions about complex topics start with the premise that there are two types of people. That's where Symantec's Chief Technology Officer Hugh Thompson began his discussion on the challenges facing the security industry. He began his entertaining security keynote at this year's CeBIT event in Sydney telling the story of a bird that flew into a commercial aircraft as the plane was being loaded by ground staff. It was trapped in the passenger cabin, only becoming known when the trans-Atlantic flight was in the air. The reactions to the story are indicative, he said, about differing attitudes to security risks.
The modern workplace is undergoing a substantial transition. Systems to foster collaboration, automation and machine learning are creating a workplace that is almost unrecognisable from the 1990s. Careers are built by moving between companies and, increasingly, we are expected to be the masters of our own training and development. Where is this leading and what will the workplace look like in another 20 years?
At the opening of Google's I/O event, the company showed off their new AI tool. In the demonstration, someone told the Google Assistant they wanted to book an appointment. Google found the hairdresser and then phoned them, holding a natural language conversation with a person to make the appointment and add it to a calendar. The party on the other end of the phone didn't know they were talking to a computer (so we're told). This opens up an interesting future.
Cybersecurity company Endgame , which provides security solutions for preventing attacks and detecting threats, has released a large data set that can be used for training AI-based security systems. In a research paper they recently published, Endgame's Hyrum S Anderson and Phil Roth describe EMBER - a "benchmark dataset for training machine learning models to statically detect malicious Windows portable executable files".
The nature of work is changing. While we've seen increasing levels of automation in workplaces over the last 300 years or so, it's only been over the last decade where we've seen machine learning improve to the point where it can replace humans in tasks that go beyond the repetitive and mechanical. Greg Muller from Gooroo and Jarrad Skeen from Affix are seeing these changes first hand in their roles in recruitment and the development of high performance teams. And while they see different sides to this change, there's one thing they absolutely agree on; being able to adapt to the change will be critical if you want to keep working.
We've all seen movies where the law enforcement heroes can find a single bad guy in a massive crowd using security cameras and some clever software. And, until recently, the world of fiction was where such fanciful things belong. But the Chinese government recently tracked down someone wanted over "economic crimes" by finding his face in a massive crowd.
Google's AlphaGo AI smashing humanity's best? Amazing stuff. Unfortunately, if you wanted to learn how the AI managed to play so well, the only option was to wade through research papers that are, frankly, not the easiest things to get through. What you need is an expert to break everything down, which is exactly what AI and autonomous robots engineer Aman Agarwal did yesterday.
Machine learning (AKA AI) seems bizarre and complicated. It's the tech behind image and speech recognition, recommendation systems, and all kinds of tasks that computers used to be really bad at but are now really good at. It involves teaching a computer to teach itself. And you can learn to do it in well under a year, according to data scientist Bargava. You'll need to put in a solid 10-20 hours a week, but you will learn a lot along the way.
Online apparel shopping service, THE ICONIC, has launched their new Snap To Shop service. It allows you to take a photo of some clothes, either in a store or on someone, and then use that image to search against THE ICONIC's inventory to find a similar garment or ensemble. I spoke with the company's CTO, Zoe Ghani, about what tech they're using to make this possible.
For the last year or two, many pundits have said AI and automation will result in substantial job losses in many sectors. While we've seen widespread automation in the automotive industry and other manufacturing sectors, we're starting to see the advent of AI moving into white collar jobs. Someone even trained some AI to write a chapter for a new Harry Potter book. But Gartner says our fears are unfounded as AI is likely to create, rather than destroy jobs.