The 1990s saw the launch of many iconic gadgets, toys and games that many people are still holding onto for a taste of nostalgia. But the memories from your childhood may also be worth a fortune. Pokemon cards, Furbies and a Kawasaki-branded instrument are among the decades old products that have sold for thousands of dollars at auction. Even more, a rare Super Mario 64 game fetched over one million dollars at a sales event that made it the most expensive video game in history. Below are a few valuable 1990s toys that may be collecting dust in your home. The Sax-A-Boom is a children's toy instrument which had a resurgence of popularity after Jack Black used it at live Tenacious D concerts The Sax-A-Boom is a children's toy instrument which had a resurgence of popularity after Jack Black used it at live Tenacious D concerts.

ARTIFICIAL intelligence for most people conjures up images from sci-fi movies – but it can help you to save money. Websites and apps can arrange your finances for you at the click of a button, saving you more than £6,000 per year. Forget A.I. that leads to robots taking over the world – and think of new, friendlier versions such as Chip and Look After My Bills. Get an app to transfer your spare cash into a savings account and watch how it mounts up. Some banks offer this service, like Lloyds' Save The Change tool, which rounds up the amount you spend on your debit card to the nearest pound and transfers the difference to a savings account.

True collectors are fascinating people; they're smart and persistent. As time goes on, everyday objects fall out of fashion and then, years later, clever collectors swoop in. Scouring the auction sites is a good way to find valuables and evaluate treasures. Tap or click here for 5 sneaky eBay scams to watch out for. When you're ready to look beyond eBay, I have you covered with links to government, law enforcement and Department of Treasury auctions.

The influence of artificial intelligence (AI) can be felt across every aspect of life, and higher education is no exception. AI is making education increasingly accessible and easier for students with disabilities, providing support for those who need additional help. But it can also help universities uphold academic honesty policies. Georgia Tech University in the US has developed "an AI agent" named Jack Watson to pose as a contractor and help the university identify students guilty of contract cheating. Contract cheating is a serious academic dishonesty that involves students getting an external party to contribute to or complete their assignments or assessments.

Millions are combing online shopping sites for last-minute gifts, but some things are selling out in the blink of an eye. The culprits may be computer programs that perform specific, repetitive tasks at breakneck speed, like buying things online en masse to be resold elsewhere at inflated prices. From online shopping, to ticket sales for concerts and events – and even fake identities that troll social media – these bots have made headlines in 2017. They'll continue to seep into our lives in myriad ways next year, too. They can be a scourge.

Modeling trust in complex dynamic environments is an important yet challenging issue since an intelligent agent may strategically change its behavior to maximize its profits. In thispaper, we propose a context aware trust model to predict dynamic trust by using a Hidden Markov Model (HMM) to model an agent's interactions. Although HMMs have already been applied in the past to model an agent's dynamic behavior to greatly improve the traditional static probabilistic trust approaches, most HMM based trust models only focus on outcomes of the past interactions without considering interaction context, which we believe, reflects immensely on the dynamic behavior or intent of an agent. Interaction contextual information is comprehensively studied and integrated into the model to more precisely approximate an agent's dynamic behavior. Evaluation using real auction data and synthetic data demonstrates the efficacy of our approach in comparison with previous state-of-the-art trust mechanisms.