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Should you buy a Copilot PC? What you need to know about AI computers

PCWorld

As artificial intelligence becomes more and more prevalent modern day computing, Microsoft's new Copilot PCs bring powerful AI capabilities right to your fingertips. Equipped with specialized hardware and advanced software, these devices promise a faster, smarter experience. In this article, we'll explore what makes Copilot PCs stand out from the rest. To ensure that the advanced AI functions can be executed quickly and smoothly, Copilot PCs must meet certain hardware requirements. The most important criterion is the presence of a special neural processor (aka the NPU).


Beware of these 7 new hacker tricks -- and how to protect yourself

PCWorld

Following the huge wave of ransomware last year, there's now increasing reports of completely new tricks used by hackers and cybercriminals to gain access to computer systems, devices, and networks. Many of these tricks exploit existing vulnerabilities in applications and operating systems, but these perpetrators are also developing completely new approaches that combine technical procedures with social engineering to achieve their goals. To recap if you're unaware: social engineering is when a malicious person exploits you through helpfulness, trust, fear, or respect in an attempt to manipulate you into doing something. Examples of social engineering include: a work email purporting to come from your boss with a payment order for a large sum to a foreign account; a WhatsApp message from someone pretending to be your relative in need of money; or a phishing email that claims to be your bank asking you to click a link with scary consequences if you don't. Here are some of the latest scams and techniques used by criminals that you need to know about--and how you can protect yourself.


How to Identify Objects at Pixel Level using Deep Learning in Java

#artificialintelligence

You can find more DJL example code here. DJL also provided an Android app with semantic_segmentation which can take a picture and run semantic segmentation with a variety of options. In summary, using the Deep Java Library, it is easy to load a deep learning model for semantic segmentation and use it to identify objects in images at the pixel level. This can be useful for applications such as self-driving cars, where it is important to accurately detect and identify objects in the environment. With the Deep Java Library, you can quickly and easily run deep learning models in Java, making it a valuable tool for any Java developer working in the field of computer vision.


FAIVConf: Face enhancement for AI-based Video Conference with Low Bit-rate

Li, Zhengang, Lin, Sheng, Liu, Shan, Li, Songnan, Lin, Xue, Wang, Wei, Jiang, Wei

arXiv.org Artificial Intelligence

Recently, high-quality video conferencing with fewer transmission bits has become a very hot and challenging problem. We propose FAIVConf, a specially designed video compression framework for video conferencing, based on the effective neural human face generation techniques. FAIVConf brings together several designs to improve the system robustness in real video conference scenarios: face-swapping to avoid artifacts in background animation; facial blurring to decrease transmission bit-rate and maintain the quality of extracted facial landmarks; and dynamic source update for face view interpolation to accommodate a large range of head poses. Our method achieves a significant bit-rate reduction in the video conference and gives much better visual quality under the same bit-rate compared with H.264 and H.265 coding schemes.


How AI Analyzes facial expressions?

#artificialintelligence

Until now, most AI-related news reports have been related to image recognition and voice recognition, but with the evolution of AI, it is likely that there will be more reports and discussions on sentiment analysis AI in the future. In the United States, sentiment analysis AI that works on online conferencing systems has recently appeared one after another and has become a subject of controversy. For example, Silicon Valley startup Uniphore announced on March 1, 2022, the sentiment analysis AI "Q for Sales" aimed at supporting business negotiations . It is a sentiment analysis AI that uses computer vision, tonal analysis, conversation analysis, natural language processing, etc. It is said to read emotions from the facial expressions of the business partner and increase the business negotiation success rate.


Guest Blog - Machine Learning in Talent Management

#artificialintelligence

As the world of portable devices and advanced technologies gets more accessible for the final customer, we have the possibility to imagine a different type of future. If a few decades ago it would've been difficult to think about self-driving cars and smart objects, talking with each other, nowadays, it's not uncommon today to speak directly with your phone, not just as a means of communication with other people. Intelligent assistants like Siri and Alexa changed the way people use technology. And, even though we can't have Ironman's amazing assistant Jarvis, we need to pay attention to Artificial Intelligence and Machine Learning. According to the latest trends of AI-based solutions, there is hardly any decisive sector or industry that does not rely on smart algorithms and automation to perform highly advanced tasks that would be impossible for most humans.


The best deals we found this week: $40 off the Echo Show 5 and more

Engadget

It was a good week to grab the latest Amazon Echo devices as many of them were discounted to near-record lows. The sale that started over the weekend continued and saw prices slashed on the latest Echo, Echo Show 5 and Echo Dot, among others. Apple's MacBook Pro M1 fell to its lowest price yet thanks to coupons that accompanied sale prices, and the Apple Watch SE remains on sale for $259. And through Sunday, Best Buy has a limited-time sale on a bunch of gear, including the latest Samsung smartphones, Surface tablets and OLED TVs. Here are the best tech deals from this week that you can still get today.


Microsoft Teams will use artificial intelligence to better reduce background noises in video conferences

USATODAY - Tech Top Stories

Always worried about the potential for embarrassing background noises at home during video meetings? Microsoft is working on an update that could save you from future videoconferencing faux pas. The company's Microsoft 365 roadmap lists as in development "AI-based real-time noise suppression," which is scheduled for release in November 2020. The feature, spotted by news site Windows Latest, "will automatically remove unwelcome background noise during your meetings." Artificial intelligence technology is used to analyze a user's audio and "specially trained deep neural networks" will filter out noises and keep the person's voice, the software giant's planning document says.


How AI could cut bandwidth in video conferences by 90%

#artificialintelligence

It's no secret that global Internet traffic has dramatically increased thanks to a pandemic forcing everyone to work and learn from home. It's difficult to find exact, comprehensive figures, but it's clear that as a result of COVID-19, Internet traffic is up generally by 30% to 50%. And video conferencing is likely a major culprit. After all, Zoom's revenues jumped by an unbelievable yearly 355% in the second quarter, to $663.5 million, after COVID-19 made the videoconferencing platform part of many people's daily routine. Zoom says it now has over 300 million daily users.


Why Fake Video, Audio May Not Be As Powerful In Spreading Disinformation As Feared

NPR Technology

"Deepfakes" are digitally altered images that make incidents appear real when they are not. Such altered files could have broad implications for politics. "Deepfakes" are digitally altered images that make incidents appear real when they are not. Such altered files could have broad implications for politics. Sophisticated fake media hasn't emerged as a factor in the disinformation wars in the ways once feared -- and two specialists say it may have missed its moment.