The Arlo Pro 4 is a small but mighty outdoor home security camera. The Arlo Pro 4 Spotlight camera has higher video quality and better field of view than almost any camera we've tested--including the popular Nest Cam Outdoor. Other Arlo Pro 4 features include color night vision output, two-way talk capabilities, timely smart alerts, and easy integration with Amazon Alexa and Google Assistant. The Pro 4 is entirely wire-free and runs on a rechargeable battery that can last up to six months per charge. It also has a built-in spotlight that illuminates when motion is detected, and a smart siren that can be triggered automatically or remotely via the Arlo app.

Apple's HomePod was a bit of a tough sell when it launched in 2018. The $350 speaker (now selling for $300) was far more expensive than the Amazon Echo or Google Home, and Siri was less capable and intelligent than Alexa or Google Assistant. One thing was undeniable, though: the HomePod sounded excellent. It was first and foremost for music lovers, and things like smart home controls felt like an afterthought. The HomePod took its place as a niche product while the inexpensive Google Home Mini and Echo Dot gave Amazon and Google a commanding presence in the smart speaker space.

Apple's HomePod mini is finally here – the iPhone maker's attempt to break the Amazon Echo-Google Home duopoly and put itself back into the voice assistant race. The HomePod mini costs £99 and sits below the full-sized HomePod costing £279. The speaker looks like a smaller, more spherical version of the big HomePod from almost three years ago. The outside is covered in a recycled plastic fabric mesh and there is a touch-sensitive disc at the top with a coloured LED display that lights up and pulsates as you interact with its voice assistant, Siri. It is an attractive object that is smaller and less prominent than its primary competition, the equally new Amazon Echo and Google Nest Audio.

I listened to "Rhapsody in Blue" 36 times so I could tell you: Apple, Google and Amazon's new speakers, all released in the past few months, sound pretty dang good for their shelf-friendly size and $100 price tags. This year's focal points are audio quality and multiroom playback. The latest HomePod, Nest and Echo speakers still want to set your timers and take your song requests, but now they're stepping up their attempts to compete with Sonos, Bose, Sony and others.

The COVID-19 pandemic forced companies around the world to work remotely and change nearly everything about their work habits, and technology companies everywhere stepped up and met that challenge by accelerating what were already emerging technologies. Things like unified communications and collaboration, videoconferencing and cloud computing have skyrocketed since the start of the year, but another technology is becoming a part of our working lives at a rapid pace: artificial intelligence. "What happened in five years is now happening in five months," says Igor Jablokov, founder and CEO of augmented AI company Pryon and an early pioneer of automated cloud platforms for voice recognition that helped invent the technology that led to Amazon's virtual assistant Alexa. In an interview with My TechDecisions, Jablokov told us how artificial intelligence is being used in the enterprise market, how it will expand, and what the industry needs to do to continue fine tuning the technology. According to Jablokov, artificial intelligence isn't limited to the enterprise office environment.

Although a study published in the Proceedings of the National Academy of Sciences, Rosenfeld discovered that heterosexual couples are more likely to meet a romantic partner through personal contacts and connections, in the past decade, many couples met online. Finding love through online dating sites/apps has become an everyday reality. With hectic lifestyles and breathtaking life paces, people are reluctant to go out and look for an appropriate date due to the lack of time and safety measures caused by the coronavirus pandemic. Therefore, dating applications have become popular and handy in the COVID-19 scenario to search for a soulmate or date online. It's not surprising that dating app development is a real trend in today's scenario.

Psychological research shows that enjoyment of many goods is subject to satiation, with enjoyment declining after repeated exposures to the same item. Nevertheless, proposed algorithms for powering recommender systems seldom model these dynamics, instead proceeding as though user preferences were fixed in time. In this work, we adopt a multi-armed bandit setup, modeling satiation dynamics as a time-invariant linear dynamical system. In our model, the expected rewards for each arm decline monotonically with consecutive exposures and rebound towards the initial reward whenever that arm is not pulled. We analyze this model, showing that, when the arms exhibit deterministic identical dynamics, our problem is equivalent to a specific instance of Max K-Cut. In this case, a greedy policy, which plays the arms in a cyclic order, is optimal. In the general setting, where each arm's satiation dynamics are stochastic and governed by different (unknown) parameters, we propose an algorithm that first uses offline data to estimate each arm's reward model and then plans using a generalization of the greedy policy.

Recent technological advancements paved the way for Artificial Intelligence (AI) to be integrated into our daily lives. Innovations in the field have greatly disrupted the business landscape, changing consumer behavior, and redefining customer service. According to the 2019 report of the U.S. think-tank Centre for Data Innovation, AI is applied in 32% of Chinese businesses. Meanwhile, in the EU and U.S., AI application is at 18% and 22%, respectively. As businesses become more competitive, there is a proportionate increase in the demand for AI to help simplify complex tasks.

There's no doubt that retail banking leaders understand the potential of artificial intelligence technology to improve customer experience. Nearly every one (94%) of more than 300 banking and insurance executives surveyed by The Capgemini Research Institute agreed that improving CX is the key objective behind launching new AI-enabled initiatives. In fact, more than half of the international sample say that at least 40% of customer interactions are already enabled by various AI applications, including conversational agents, prescriptive modeling, process automation, and complex analytics. That would be impressive -- except for one thing: Half of more than 5,000 consumers polled by Capgemini worldwide feel that the value they receive from AI-powered financial interactions was "non-existent or less than expected." What about in the U.S., the land of "Erica" and "Eno" and other digital assistants, and the many advanced mobile banking apps?

It's hard not to like a Nest Thermostat, but as the folks at Google learned over the years, the primary reason people cite for not buying one is they're too expensive. It's not as slick or sophisticated as the top-of-the-line Nest Learning Thermostat, but it carries enough of that device's DNA to be an excellent value at $130. Buy one and you'll get the familiar round form factor, a bright display with sharp visuals, and the ease of installation and day-to-day use that made the original product such as star. You'll adjust your HVAC system's target temperatures and the new Nest Thermostat's various settings using its outer ring, too. But instead of spinning a mechanism, you'll slide and tap your fingertip on the responsive touch-sensitive surface of the thermostat's outer bezel.