One key example: This fall, Apple's Siri assistant will start processing voice on iPhones. Right now, even your request to set a timer is sent as an audio recording to the cloud, where it is processed, triggering a response that's sent back to the phone. By processing voice on the phone, says Apple, Siri will respond more quickly. This will only work on the iPhone XS and newer models, which have a compatible built-for-AI processor Apple calls a "neural engine." People might also feel more secure knowing that their voice recordings aren't being sent to unseen computers in faraway places.

If you think of AI as something futuristic and abstract, start thinking different. We're now witnessing a turning point for artificial intelligence, as more of it comes down from the clouds and into our smartphones and automobiles. While it's fair to say that AI that lives on the "edge"--where you and I are--is still far less powerful than its datacenter-based counterpart, it's potentially far more meaningful to our everyday lives. One key example: This fall, Apple's Siri assistant will start processing voice on iPhones. Right now, even your request to set a timer is sent as an audio recording to the cloud, where it is processed, triggering a response that's sent back to the phone.

Its ill-fated Cortana virtual assistant will no longer be pinned to the taskbar; Internet Explorer is disabled by default in favour of the more modern Edge browser; and tools such as OneNote, Paint 3D, and Windows' 3D viewer app are getting the Skype treatment and becoming optional store downloads.

Windows 11 adds several unexpected new features, including Android apps, a revised Start Menu and Taskbar, new Widgets, and more. Windows 11 also removes many Windows 10 features that PC users have become accustomed to. Here's what Microsoft says it's removing in Windows 11. Microsoft published this information on the same page where it listed the Windows 11 hardware requirements, which include a controversial mandate for a TPM 2.0 chip. Microsoft calls some of these "deprecations," which simply means that they're being de-emphasized if not removed.

Contextual Bandits find important use cases in various real-life scenarios such as online advertising, recommendation systems, healthcare, etc. However, most of the algorithms use flat feature vectors to represent context whereas, in the real world, there is a varying number of objects and relations among them to model in the context. For example, in a music recommendation system, the user context contains what music they listen to, which artists create this music, the artist albums, etc. Adding richer relational context representations also introduces a much larger context space making exploration-exploitation harder. To improve the efficiency of exploration-exploitation knowledge about the context can be infused to guide the exploration-exploitation strategy. Relational context representations allow a natural way for humans to specify knowledge owing to their descriptive nature. We propose an adaptation of Knowledge Infused Policy Gradients to the Contextual Bandit setting and a novel Knowledge Infused Policy Gradients Upper Confidence Bound algorithm and perform an experimental analysis of a simulated music recommendation dataset and various real-life datasets where expert knowledge can drastically reduce the total regret and where it cannot.

Cybersecurity giant F-Secure has warned that AI-based recommendation systems are easy to manipulate. Recommendations often come under increased scrutiny around major elections due to concerns that bias could, in extreme cases, lead to electoral manipulation. However, the recommendations that are delivered to people day-to-day matter just as much, if not more. "As we rely more and more on AI in the future, we need to understand what we need to do to protect it from potential abuse. Having AI and machine learning power more and more of the services we depend on requires us to understand its security strengths and weaknesses, in addition to the benefits we can obtain, so that we can trust the results. Secure AI is the foundation of trustworthy AI." Sophisticated disinformation efforts – such as those organised by Russia's infamous "troll farms" – have spread dangerous lies around COVID-19 vaccines, immigration, and high-profile figures.

“Are vaccines safe for my baby?” wonders a new mother. After reading a few articles online that seem authoritative, she steps away from the computer and decides that there is not enough evidence to answer her question definitively. This scenario appears in the first of many vignettes in Science Denial that educational psychologists Gale Sinatra and Barbara Hofer use to confront a worrisome problem that extends beyond ideological science denial itself: the denial of science to those who seek credible information and who are often in great need of it. Most people who search for information online favor trusted, easy-to-find sources. What they encounter is a forum that offers a platform to anyone with an online marketing strategy. Sinatra and Hofer point to a rise in “the sophistication of those who wish to portray fiction as fact.” Herculean efforts are being made by determined lobbies to counter scientific sources and undermine public confidence in science itself, they note, and even websites run by government agencies can sometimes stray from scientific consensus. As intelligent virtual assistants become more widespread and the number of online information searches performed daily continues to rise, we become more and more tethered to an information source that can be as misleading as it is valuable. Sinatra and Hofer remind us that we are more vulnerable to misinformation than we may think. Those who craft messages that run counter to accepted science know that the layperson's understanding of science is limited. They know that people are quick to use simple heuristics and the opinions of those around them as substitutes for deeper investigations. Hearing the same message repeatedly and seeing a few friends nod their heads in agreement with it can make it seem more credible. Appeals to remain “fair and balanced” are sometimes used to convince people to give equal consideration to messages that fly in the face of scientific consensus. The authors join other psychologists who remind us that our own biases can prompt even the most prudent among us to dismiss scientific findings when they conflict with what we think we already know about the world. For example, drivers are known to remain confident in their ability to safely multitask behind the wheel, even when that ability has been measured and confirmed to be poor ([ 1 ][1]). And once our beliefs have been formulated, we often come to personally identify with them and regard negations of them as personal criticism. Sinatra and Hofer argue that the path toward a better future starts in schools, at the loftiest conceptual levels. Educators should strive to help kids form what they call a “science attitude”—one that places value on the truth, on hypotheses and theories that have a fair chance to be right or wrong, and most of all on evidence. A science attitude needs to be accompanied by science knowledge, including a familiarity with where good research can be found and a basic understanding of the methods used to evaluate scientific hypotheses, including practices such as peer review and replicability. School curricula, they argue, need to prepare some students to become producers of science and all students to become good consumers of science. But what can be done about the grown-ups who already hold beliefs that run counter to scientific consensus? The authors offer hope that reason can prevail. Experimental evidence suggests that strongly held beliefs in unsupported theories can be moderated or even overturned using refutational techniques that identify specific misconceptions, state that they are incorrect, and detail the reasons why. The authors describe their success with using these techniques to change, or at least moderate, strong negative opinions about genetically modified foods. Falling somewhere between academic and trade writing, Science Denial is filled with relatable scenarios, research studies, and helpful advice for individuals, educators, science communicators, and policy-makers. As social media discussions of science topics continue to proliferate and carefully reported coverage of science continues to decline, the authors warn readers to ready themselves for a future in which separating fact and fiction may be more difficult than ever. Their book offers abundant practical guidance to help us meet the challenge. 1. [↵][2]1. D. M. Sanbonmatsu, 2. D. L. Strayer, 3. N. Medeiros-Ward, 4. J. M. Watson , PLOS ONE 8, e54402 (2013). [OpenUrl][3][CrossRef][4][PubMed][5] [1]: #ref-1 [2]: #xref-ref-1-1 "View reference 1 in text" [3]: {openurl}?query=rft.jtitle%253DPLOS%2BONE%26rft.volume%253D8%26rft.spage%253De54402%26rft_id%253Dinfo%253Adoi%252F10.1371%252Fjournal.pone.0054402%26rft_id%253Dinfo%253Apmid%252F23372720%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [4]: /lookup/external-ref?access_num=10.1371/journal.pone.0054402&link_type=DOI [5]: /lookup/external-ref?access_num=23372720&link_type=MED&atom=%2Fsci%2F372%2F6549%2F1400.atom

Artificial intelligence can "understand" and shape much of what happens in people's lives. AI apps like Amazon Alexa, Apple Siri, and Google Assistant answer questions and converse with people who call out their name. In navigation apps, they help people drive from one location to another. Models also can scan platforms for the use of fraudulent credit cards, and help diagnose cancer. Still, experts and advocates have voiced concerns about the long-term impact and implications of AI applications.

Fox News Flash top entertainment and celebrity headlines are here. Check out what's clicking today in entertainment. Jennifer Aniston is still looking for love -- but she refuses to find it online. The "Friends" alum, 52, said in an interview published on Wednesday that she "absolutely" will not try dating apps to find a new partner. "Absolutely no," she told People.

Xiaomi has released Mi Watch Revolve Active yesterday. The device comes with the addition of an oxygen sensor and Alexa support, but less premium materials make it 15% cheaper than the original. To remind, Mi Watch Revolve is essentially a rebranded version of Mi Watch Color that is meant for India and a few other countries. There are no significant differences between the two timepieces apart from the name. To make things even more confusing, Mi Watch Revolve Active seems to be a rebranded version of Mi Watch Color Sports Edition.