Too lazy to get out of bed to turn the lights on or off? Have I got a light switch for you! At its simplest, Lutron's Caséta Dimmer is a four-button in-wall light switch with both on/off and dimmer controls built in. But the real fun comes in the form of a wireless remote control that offers the same functions and which you can put just about anywhere. Whether that means dimming the bedroom lights from under the covers or controlling an exterior light from the other side of the house, the Caséta remote is versatile and, throughout my testing, never missed a beat.

Artificial intelligence (AI) is starting to impact our lives faster than we can imagine. From Amazon's digital assistant Alexa, which is now in over five million homes, to online shopping recommendations and image recognition, AI technologies have found no shortages of real world applications that are quickly becoming a familiar part of our daily lives. Financial institutions are increasingly putting faith in AI to improve consumer personalisation and automate processes in real time - but is artificial intelligence just a fad or will it play a meaningful role for today's financial institutions? Banks are only just starting to explore the use cases for robotics and integrated biometrics (which can often be seem as gimmicks rather than long term solutions) but it's in the less visible areas where AI can have the biggest impact on customer satisfaction. And whether we realise it or not, we are already seeing the benefits of AI as part of the banking transformation journey.

One of the recent cover stories of'The Economist' emphasized on the importance that data has been gaining, stating "the world's most valuable resource is no longer oil, but data." Machine learning, which is bringing about the most dramatic advancements in artificial intelligence, is a data intensive technique. Lots of data is required to create, test and train the AI. As AI is gaining importance in the business world, so is data. AI is being leveraged by financial firms to advice customers on their investment choices, automakers are using it to build autopilot systems, and virtual assistants similar to Siri, Cortana are being introduced.

Tinder's parent company Match Group is suing dating app Bumble for alleged patent infringement. A link has been sent to your friend's email address. A link has been posted to your Facebook feed. Tinder's parent company Match Group is suing dating app Bumble for alleged patent infringement.

A new dating app called Waving lets users judge potential partners by their voice. We talk with Robert Burriss of Basel University about the role a person's voice plays in attraction.

Consumers are beginning to expect more AI-driven interactions with their devices, whether they are interacting with smart assistants or expecting more tailored content within an application. However, when considering the landscape of available AI-focused applications, the list is significantly biased toward manufacturers. So, how can a third-party app developer provide an experience that is similar in performance and interactivity to built-in AI's like Siri or Google Assistant? This is why the release of TensorFlow Lite is so significant. TensorFlow released TensorFlow Lite, this past November as an evolution of TensorFlow Mobile.

Artificial intelligence could emulate human bias, including sexism, if there is no oversight on data used to create it, experts at the world's largest mobile phone fair in Barcelona warned Thursday. "We're all very aware the machines will learn the same bias as those who coded them," Emma McGuiguan, in charge of technology at consultants Accenture, said at the Mobile World Congress. AI is the science of programming machines or computers to reproduce human processes, like learning and decision making. Julie Woods-Moss, chief innovation officer at Indian mobile operator Tata Communications, said that in order to do this, a large amount of human-led data was needed. "We have to be very careful that we don't encourage AI to be biased," she said, calling on professionals in the sector to find ways to identify these biases.

In almost every industry today, you're seeing an increase in personalized experiences for consumers. With more people wanting control over how they buy or consume content, entertainment companies are in the midst of abiding by these customer demands. The consumer need to personalize content is a psychological impulse to find more control in a world filled with information overload. Since media content choices are often overwhelming, it's all the more important for consumers to find something fitting their world views. At the center of all this is artificial intelligence. Take a look at how machine learning continues to evolve personalized experiences in entertainment and media.

Last year, more than 15,000 victims lost some $210 million in "confidence frauds" and romance scams, according to the Federal Bureau of Investigation. The lesson: Meeting people online comes with risks. And the way to protect yourself or someone you love isn't as simple as "Don't be foolish." Smart people fall prey to scams. Scammers are really good at what they do.

Intelligent virtual assistants have gained a lot of prominence in the business world since they were reintroduced by major platforms like Slack, Facebook, and Twitter. Despite the fact we have only grazed the potential of chatbots, they've already changed the way companies communicate with their audiences. Moreover, efficient corporations have found alternative uses for bots. For example, chatbots are now utilized as internal-facing assistants that can increase productivity and employee satisfaction throughout a company. AI-powered bots have the potential to address and mitigate different risk areas for businesses of all sizes, so they provide a viable, cost-effective solution for many different scenarios.