Sign up for the Slatest to get the most insightful analysis, criticism, and advice out there, delivered to your inbox daily. Chris Heinrich will never forget the winter day he and his family evacuated their home in Altadena, California, as a vertical wall of flame was slowly bearing down on their neighborhood from the mountains. "It was dark," he told Slate. "There was no internet, my daughter was crying, the wind was blowing." Even as the fires approached, he said, he didn't really believe that their house would burn.

This year, Google decided not only to update the design of its Pixel phones but also put its AI features front and center. The Pixel 9 Pro and 9 Pro XL are the first Pixels that have swapped the Assistant for Gemini. With its latest flagships, Google continues to improve its cameras, by upgrading its primary sensor and expanding its suite of editing tools. And to power all those new AI tricks, the company has equipped the devices with its newest Tensor processor, designed to handle on-device Gemini tasks. For the first time, too, the Pro-branded Pixel is available in two sizes, with a smaller version joining the family. Better yet, if you go for the Pixel 9 Pro, you'll be getting a largely identical phone to the pricier 6.8-inch Pixel 9 Pro XL. Please note: no camera compromise here, Apple.

Contactless fingerprint matching using smartphone cameras can alleviate major challenges of traditional fingerprint systems including hygienic acquisition, portability and presentation attacks. However, development of practical and robust contactless fingerprint matching techniques is constrained by the limited availability of large scale real-world datasets. To motivate further advances in contactless fingerprint matching across sensors, we introduce the RidgeBase benchmark dataset. RidgeBase consists of more than 15,000 contactless and contact-based fingerprint image pairs acquired from 88 individuals under different background and lighting conditions using two smartphone cameras and one flatbed contact sensor. Unlike existing datasets, RidgeBase is designed to promote research under different matching scenarios that include Single Finger Matching and Multi-Finger Matching for both contactless- to-contactless (CL2CL) and contact-to-contactless (C2CL) verification and identification. Furthermore, due to the high intra-sample variance in contactless fingerprints belonging to the same finger, we propose a set-based matching protocol inspired by the advances in facial recognition datasets. This protocol is specifically designed for pragmatic contactless fingerprint matching that can account for variances in focus, polarity and finger-angles. We report qualitative and quantitative baseline results for different protocols using a COTS fingerprint matcher (Verifinger) and a Deep CNN based approach on the RidgeBase dataset. The dataset can be downloaded here: https://www.buffalo.edu/cubs/research/datasets/ridgebase-benchmark-dataset.html

CyberGuy shows you how to scan using your iPhone. Can you recommend a QR code reader that one will not be required to set up an account? In the App store, they all contain ads and in-app purchases. Many want you to allow them access to a lot of non-germane information in order to use it. I had an app for years that did not require one to bear one's soul and did not require access to one's phone activities.

Difficult to do without Google Translate. Whether it is to translate a word, a sentence or an entire text, the tool developed by the American firm and launched in 2006 quickly became essential and one of Google's most used tools. But did you know that it is no longer necessary to type anything in the search bar or in the tool directly? Indeed, thanks to its numerous technological advances, Google now allows us to simply draw the camera of our smartphone. We don't want to offend you by explaining what Google Translate is, its usefulness is directly stated in its name.

Binah.ai, the number one provider of AI-powered software that enables video-based measurement of physiological health and wellness parameters, announced its revolutionary ability to measure blood count (hemoglobin levels), blood chemistry (hemoglobin A1C) and lipids (cholesterol total) results by simply having users look at a smartphone camera. "Without a doubt, this is a groundbreaking milestone for Binah.ai, and might be the first step towards bloodless blood tests. Our technology demonstrates promising results in measuring this crucial health data, which, alongside the rest of the vital signs we already deliver, is expected to create a shift in health and wellness monitoring," said David Maman, Co-Founder and CEO of Binah.ai. "Leaping from painful and infrequent blood tests, which billions of people can hardly access, to having them available anytime one needs using just a smartphone camera is pretty revolutionary! Video-based blood tests could have a game-changing impact on the healthcare, insurance and wellness industries. Together, we can help bridge the gaps in healthcare and wellness and ensure that no one gets left behind due to a lack of access," added Maman.

This article presents a Bangla handwriting dataset named BanglaWriting that contains single-page handwritings of 260 individuals of different personalities and ages. Each page includes bounding-boxes that bounds each word, along with the unicode representation of the writing. This dataset contains 21,234 words and 32,787 characters in total. Moreover, this dataset includes 5,470 unique words of Bangla vocabulary. Apart from the usual words, the dataset comprises 261 comprehensible overwriting and 450 handwritten strikes and mistakes. All of the bounding-boxes and word labels are manually-generated. The dataset can be used for complex optical character/word recognition, writer identification, handwritten word segmentation, and word generation. Furthermore, this dataset is suitable for extracting age-based and gender-based variation of handwriting.

In the context of healthcare, artificial intelligence (AI) refers to the use of sophisticated algorithms and software to simulate human cognition in the analysis, interpretation, and comprehension of complex medical and healthcare data. The top 10 AI healthcare companies are likely to dominate the global market for AI in healthcare, which is anticipated to reach US$ 28 billion in 2025. Around 100 different AI development tools were approved for medical usage in 2020. The most common specializations are hematology, cardiology, and radiology. Over US$4.6 billion will be spent on medical surgical robot use in 2020.

Mobile technology has been revolutionized with the recent incorporation of artificial intelligence (AI). Nowadays, you can do many different things on your phone ranging from sending texts while you're driving to reading emails at the grocery store. There are so many ways AI has changed mobile life for the better: ordering groceries from home and taking care of important tasks during lunch breaks. This article describes how AI transforms mobile technology. AI refers to a computer's ability to perform tasks normally associated with human intelligence.

With the development of technology, Image recognition has convincingly become an integral part of our life. There are diverse kinds of products and applications in the market now, intended to analyze and recognize specific objects in graphics. Biometrics is now a critical feature utilized by firms and even individuals for their security. This concept now has complete application and helps control false arrests, diagnose genetic disorders and reduce malware attacks, cybercrimes, etc. Each application varies with its performance, working methods, applications, etc. Users can choose the product based on our requirements.