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) …
Today's newsletter comes with a more accurate prediction of the big Samsung event -- even if there's probably already another Galaxy device leaked before it starts -- and 100 percent more working links. After all the teases and photos, there shouldn't be many surprises, but if you want to know exactly what the next Galaxy Fold and Galaxy Note are like, then you'll find out in a few hours. With 57.5 million customers from Disney, 8.5 million from ESPN (up from 2.5 million a year ago) and 35.5 million from Hulu (up from 27.9 million), Disney now counts over 100 million direct customers. However, it's bringing in less money per user than other streamers, due to discounts, all while the pandemic has closed movie theaters and kept people away from theme parks. Disney did manage a hit when it released Hamilton direct to Disney, and it's following up with something bigger.
Microsoft has now offered an explanation for the bug that caused Chromium-based Edge to crash when Google was set as the default search engine – but didn't crash if Microsoft's much less popular Bing was set instead. The crashes were happening when users typed in the address bar. The conditions for the crash made it appear to some that there was a skirmish playing out between Google and Microsoft on the new Edge, which ships with Bing as the default search engine and strips out many Google features that are in Chrome. At the time, Microsoft didn't explain the cause of the crashes and why it only impacted Edge with Google as the default. However, after fixing the bug it did advise users to "revert your browser settings that you may have changed" to avoid the crashes.
We are excited to announce the second release of PyCaret today. PyCaret is an open source, low-code machine learning library in Python that automates machine learning workflow. It is an end-to-end machine learning and model management tool that speeds up machine learning experiment cycle and makes you more productive. In comparison with the other open source machine learning libraries, PyCaret is an alternate low-code library that can be used to replace hundreds of lines of code with few words only. This makes experiments exponentially fast and efficient.
These are the main findings of a new report from Deloitte Consulting on future business models that will reshape the form and function of hospitals around the world. Researchers surveyed health, technology, and customer experience workers in mid-January, just before the spread and severity of the coronavirus was apparent, and then interviewed a handful of experts in April. The resulting feedback showed that people expect hospital changes to accelerate. "The timeline is significantly shortened in terms of when people thought these changes would take place," says Kulleni Gebreyes, a principal at Deloitte and a coauthor of the report. Here are a few ways experts think hospitals and the hospital experience will change in a post-pandemic world.
Amazon is working on a new feature for its Alexa voice assistant that will let the software launch Android and iOS apps using voice commands, a first for Amazon's assistant and a bold expansion of its strategy to position Alexa as a platform-agnostic alternative to Apple's Siri and Google Assistant. Called Alexa for Apps, the new feature is launching today in preview form, meaning Amazon is working with select developers on how they'd like to make use of it. For instance, Amazon imagines users on either an iPhone or an Android device asking Alexa to open Twitter and search for a hashtag, and the app would then let the companion Alexa skill do the work of launching the app and inputting the search term. The results would then show up on the phone instead of being read aloud. Another example Amazon gives is using a voice request to launch TikTok and start a hands-free video recording (in the event you're filming yourself). It's a new type of interaction Amazon is hoping could catch on and help better position Alexa as a viable competitor to digital assistants from Apple and Google, both of which are deeply baked into their respective operating systems and have richer access to apps and system-level features as a result.
A chatbot can benefit the biggest or the smallest eCommerce company. Whether you're selling clothes, shoes, makeup, electronics, art & crafts, or furniture, having a chatbot is a great investment for your store. Big brands benefit from chatbots because it allows them to engage with numerous customers in a timely and efficient manner. At the same time, small stores that cannot hire several employees can compete with bigger businesses by providing immediate service. Having a chatbot can help increase your revenue because it solves different customer problems that often lead to cart abandonment.
Through a pane of clear plastic, speaking through a mask, a checkout clerk at a grocery chain told my wife she was feeling sick yesterday. My wife asked (and I'm imagining her taking a big step back as she did) if she'd told her manager. The clerk replied she had but she was out of sick days and couldn't afford to lose the pay. That story is true, and it's horrifying -- both for the risk of outbreak it suggests and for the complicated labor realities it betrays. It's also an anecdotal illustration of one more reason automation is coming to grocery stores, and fast.
The success of deep learning over the last decade, particularly in computer vision, has depended greatly on large training data sets. Even though progress in this area boosted the performance of many tasks such as object detection, recognition, and segmentation, the main bottleneck for future improvement is more labeled data. Self-supervised learning is among the best alternatives for learning useful representations from the data. In this article, we will briefly review the self-supervised learning methods in the literature and discuss the findings of a recent self-supervised learning paper from ICLR 2020 . We may assume that most learning problems can be tackled by having clean labeling and more data obtained in an unsupervised way.
While the whole planet was frozen by the coronavirus pandemic, offline stores found they couldn't compete with even the smallest online stores when people's lifestyles were limited by their homes or neighborhoods. But those who have just started online sales this year will quickly find out what to do to sell efficiently on the internet. This is why the overall competition will rise. Wondering how you can gain a foothold at this moment? Take a look at modern technologies – artificial intelligence (AI), machine learning (ML), and big data analysis.