If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Even though we haven't quite hit the final quarter of 2017, you could say it's been an eventful year in digital transformation. Just as I predicted last year at this time, user experience (UX), big data, smart machines -- and of course, change itself--have proven big players in the business landscape this year. As we round the bend to 2018, we get a sense of what's ahead in the digital transformation--barring any unexpected disruptions, of course. One thing I noticed in putting this list together is that the IoT kept popping up, repeatedly. This is why it has found its way to the top.
While Apple was quiet about HomePod updates at WWDC, that doesn't mean it's twiddling its thumbs -- its staff are privately testing pre-release software. And now, we might now what that software entail.s French site iGeneration claims to have details of the HomePod's iOS 12-based beta, and it could address a laundry list of feature requests for Apple's smart speaker. Most notably, it would include native phone call support. Instead of having to start the call on your iPhone and switch audio inputs, you could both place and receive calls through the HomePod.
When tasks feel insurmountable, I have always retreated to a tried and true hack, the sort any self-help book worth the price of the Kindle it's living in will dispense: Break the big, scary thing into smaller tasks. The nice news is that, sometimes, the little task ends up being more interesting, more enlightening, more fun, and more doable than the scary, big thing. This week, WIRED Transportation spent some time with the people sweating the small stuff, the tinkerers making adjustments at the peripherals. The German carmakers running a curious mobility experiment in Seattle; the coders making it easier for cities to share the rules of the road with self-driving cars; the engineers coming up with a very special hook that should someday help autonomous drones deliver their wares. Turns out that work is vital, too.
Connected – this is one of the defining words of our world today. We have never been more connected – from the devices we wear on our bodies, to our cars and houses, to the manufacturers who build our things, and, lastly, to the outer world where we get to experience the fruits of our newly connected lives. IoT is being embraced by societies everywhere, whether they know it or not – bridging the link between customers, businesses, and their physically connected devices. What this means for you as a manufacturer of something physical is that you are now putting chips and digital connections in places you never imagined adding value, boosting your warranty, connecting with clients or creating new services. Don't let engineering complexity sideline your need for speed.
Will robots eventually put writers out of a job? Are we going to see computers writing the next Great American Novel? Over the last decade or so, though, AI (artificial intelligence) has become increasingly sophisticated, and it's influencing the world of writing in a number of interesting ways. AI is all about machines learning and adapting. Instead of simply being programmed in minute detail with everything they need to know to accomplish a particular task, they're programmed with instructions that allow them to learn from their experience (just as people do).
After no end of false starts, the technology needed for artificial intelligence is finally here. Over the past ten or so years, the amount of progress made in the field has been stunning, and already the technology is finding its way into a number of different industries. It's already clear what benefits AI can bring to a range of different applications. The ability of computers to analyse data and draw conclusions means that it takes them fractions of a second to accurately understand any inputs. As a result, they can tailor the experience they provide, depending entirely on the user.
During the AI boom of the 1980s, the field also enjoyed a great deal of hype and rapid investment. Rather than considering the value of individual startups' ideas, investors were looking for interesting technologies to fund. This is why most of the first generation of AI companies have already disappeared. Companies like Symbolics, Intellicorp, and Gensym -- AI companies founded in the '80s -- have all transformed or gone defunct. And here we are again, nearly 40 years later, facing the same issues.
Aki Fujimura, chief executive of D2S, sat down with Semiconductor Engineering to discuss Moore's Law and photomask technology. Fujimura also explained how artificial intelligence and machine learning are impacting the IC industry. What follows are excerpts of that conversation. SE: For some time, you've said we need more compute power. So we need faster chips at advanced nodes, but cost and complexity are skyrocketing. Fujimura: Moore's Law is definitely slowing down, but I'm confident there will be continued innovation everywhere to keep it going for a while. There's a lot that every discipline of the eco-system is working on to make incremental and breakthrough improvements.
NOIZ is a decentralized advertising network. It uses AI technology to power an interactive advertising system known as cognitive ads, which use natural language processing (NLP) software to learn from user consumer interactions and improve user experience; thus, increasing engagement. REM and Passive Monitoring software are used to filter out fraudulent (fake or spam) clicks, views and impressions. Together, these forms of AI software significantly increase ROI for advetisers while also providing clean, transparent data to publishers and a smoother advertising experience for consumers. All interactions across the cognitive ads are stored on a blockchain network, keeping shared information secure.
NSFW Artificially intelligent software is used more and more to automatically detect and ban nude images on social networks and similar sites. However, today's algorithms and models aren't perfect at clocking racy snaps, and a lot of content moderation still falls to humans. Enter an alternative solution: use AI to magically draw bikinis on photos to, er, cover up a woman's naughty bits. A group of researchers from the Pontifical Catholic University of Rio Grande do Sul, Brazil, have trained generative adversarial networks to perform this very act, and automatically censor nudity. In a paper for the IEEE International Joint Conference on Neural Networks (IJCNN) in Rio de Janeiro earlier this month, the eggheads presented some of their results.