The Mac Mini is a fantastic little computer, but you'll need one of these great monitors to complete the setup. The Mac Mini is unbeatable in value . But unlike an iMac or MacBook, you'll need to pair it with a monitor. Apple has a couple of options: the Apple Studio Display and Pro Display XDR, but both are incredibly expensive (not to mention a few years old at this point). Fortunately, there are tons of great monitors out there that fit well into the Apple ecosystem. Be sure to check our Best Apple Desktops, Best MacBooks, Best Monitors, and Best Gaming Monitors guides for more.

Artificial Intelligence (AI)-native receivers prove significant performance improvement in high noise regimes and can potentially reduce communication overhead compared to the traditional receiver. However, their performance highly depends on the representativeness of the training dataset. A major issue is the uncertainty of whether the training dataset covers all test environments and waveform configurations, and thus, whether the trained model is robust in practical deployment conditions. To this end, we propose a joint measurement-recovery framework for AI-native transceivers post deployment, called VERITAS, that continuously looks for distribution shifts in the received signals and triggers finite re-training spurts. VERITAS monitors the wireless channel using 5G pilots fed to an auxiliary neural network that detects out-of-distribution channel profile, transmitter speed, and delay spread. As soon as such a change is detected, a traditional (reference) receiver is activated, which runs for a period of time in parallel to the AI-native receiver. Finally, VERTIAS compares the bit probabilities of the AI-native and the reference receivers for the same received data inputs, and decides whether or not a retraining process needs to be initiated. Our evaluations reveal that VERITAS can detect changes in the channel profile, transmitter speed, and delay spread with 99%, 97%, and 69% accuracies, respectively, followed by timely initiation of retraining for 86%, 93.3%, and 94.8% of inputs in channel profile, transmitter speed, and delay spread test sets, respectively.

In October 2021, Microsoft announced that it had acquired Two Hat, a content moderation provider focused on the online gaming industry. Like Hive, most of Two Hat's content moderation services work without human interaction. In a blog post announcing the acquisition, Xbox Product Services corporate vice president Dave McCarthy said that Two Hat's tech has helped to make global communities in Xbox, Minecraft and MSN safer for users via a highly configurable approach that allows the user to decide what they are and aren't comfortable with.

Samsung's M8 Smart Monitor is a well-rounded display that can function as both a television and a computer monitor. It has impressive image quality and comes equipped with Samsung's Tizen OS for streaming, but a few questionable design decisions hold it back from being truly great. Samsung's M8 Smart Monitor is a 32-inch 4K HDR television disguised as a monitor. It ships with the same Tizen operating system found in the company's smart TVs. You don't even need to connect a PC to watch Netflix, Hulu, or Apple TV. It's a good fit for those who want smart TV features but plan to connect a PC.

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Anti-Hindu sentiment has been on the rise in recent years. It is a sentiment that advances, amplifies, and articulates hatred against Hindus and Hinduism. This is a toxic global phenomenon influenced by legacies of the past. Hinduism and Hindus have been at the receiving end of such hate since colonial times. This hate sentiment is now known as Hinduphobia, Hindumisia, or Hindudvesha .

Forget Black Friday - one of the year's biggest shopping days is just hours away from kicking off, giving you the chance to rack up dozens of deals without even needing to take a single step away from your computer or phone. Amazon Prime Day - a 36-hour online sale open only to Amazon Prime users - kicks off in the US at 3 pm ET, offering a wide variety of savings and bargains that could save you hundreds of dollars on everything from a fancy new TV to your favorite mascara. But with so many deals on offer, how do you know that you're really getting the most out of your money? According to Sara Skirboll, RetailMeNot's shopping and trends expert, it's all about knowing what you want before the sales start, and being aware of what categories are most likely to offer the best bargains. 'Be ready when the festivities begin and check back often,' she told DailyMail.com.

Since the 2013 Target breach, it's been clear that companies need to respond better to security alerts even as volumes have gone up. With this year's fast-spreading ransomware attacks and ever-tightening compliance requirements, response must be much faster. Adding staff is tough with the cybersecurity hiring crunch, so companies are turning to machine learning and artificial intelligence (AI) to automate tasks and better detect bad behavior. In a cybersecurity context, AI is software that perceives its environment well enough to identify events and take action against a predefined purpose. AI is particularly good at recognizing patterns and anomalies within them, which makes it an excellent tool to detect threats.

At an off-site support building two miles from NewYork-Presbyterian's Weill Cornell Medical Center, registered nurses use artificial intelligence to monitor what's happening at the hospital. The space houses various remote administrative stations, including clinical monitoring setups that have computers and six screens from which nurses track real-time physiologic data of patients in the emergency department. RNs also check activity through smart-bed technology, keeps tabs on temperatures of refrigerators that house life-saving medicine, and facilitate call center functions. NewYork-Presbyterian dubbed this AI-infused shop the Clinical Operations Center, or CLOC, and the goal is to leverage artificial intelligence in a 100 percent capacity within the next 12-14 months. CLOC is already is showing the benefits of incorporating artificial intelligence into daily clinical monitoring of patient care in ways that other hospitals can learn from.

Your phone can reveal all of your physical activities to Google and the apps you use. The sensors inside it can monitor, understand and disclose your real-world movements, based on what's happening to the phone itself. It can tell, for instance, if you're standing up, or if you've just lifted your phone off a desk, or if you've started walking. An Android permission called "Activity Recognition", which was discussed on Reddit and highlighted by DuckDuckGo last week, makes it much easier for developers to work out what you're doing at any one time. Shazam and SoundHound request the permission, but it isn't completely clear why.