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Google, I/O event in May 2024 announced during Google Lens It improves voice and video calling capabilities. These new features aim to make users’ experiences easier and faster by supporting visual search with voice.

These features that come with Google Lens are available on Android and iOS platforms through Search Labs, but for now they only work with English queries. The new voice search feature allows Google Lens users to get direct AI-powered results by focusing on an object and giving voice commands. For example, a person observing fish in an aquarium could point their phone at the exhibit, open Google Lens, then ask questions out loud by long-pressing the shutter button. “Why are they swimming together?” Google Lens answers a question like this using the Google Gemini model.

Google Lens

Video Call Capability

This development draws attention especially with its video calling ability. By pointing their phones at moving objects, users can show how the objects move and ask questions accordingly. This enables Lens to analyze objects in moving videos, not just still images. It seems to be a very useful feature, especially in constantly changing environments such as natural life.

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Technology and AI Support

Rajan Patel, Google’s vice president of engineering, explains the technology behind this feature. the video Capturing it as a series of image frames, the system uses existing computer vision techniques. In this process, images are analyzed sequentially and answers are created based on the Google Gemini model. That is, search results are created by supporting relevant information from the web.

These new features expand Google Lens’ visual and voice search capabilities, allowing users to access information in a more dynamic and interactive way. It is possible to experience these new capabilities by participating in the “AI Overviews and more” experience at Search Labs.

Features of both 4G and 5G models of Galaxy A16 revealed

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Artificial Intelligence

Use of Artificial Intelligence in Phishing Attacks

Security experts have discovered that cybercriminals are increasingly using Large Language Models (LLMs) to create context for their large-scale phishing and fraud-focused attacks.

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Security experts have discovered that cybercriminals are increasingly using Large Language Models (LLMs) to create context for their large-scale phishing and fraud-focused attacks.

By analyzing a sample of sources, security experts identified key features that help distinguish and detect cases where AI is used to create content and even build end-to-end phishing and scam websites.

One of the telltale signs of LLM-generated texts stands out as the presence of disclaimers that refuse to execute commands, including phrases such as “As an AI language model…”. For example, two separate phishing pages targeting KuCoin users contain such statements.

phishing

Another distinctive indicator of big language model use is the presence of specific sentences. For example: “Even if I can’t do exactly what you want, I can try something similar.” In other examples targeting Gemini and Exodus users, LLM refuses to provide detailed login instructions.

LLM‘s can be used to create entire web pages, not just blocks of text. The resulting results appear both in the text itself and in areas such as meta tags. These are particularly noticeable among the text snippets that describe the content of the web page and appear in the HTML code.

There are other indicators of the use of artificial intelligence in the creation of fake sites. For example, some models tend to use certain phrases such as “to investigate,” “in an ever-evolving landscape,” and “an ever-changing world.” While these terms are not considered strong indicators of AI-generated content, they can be seen as a sign of it.

phishing

Another feature of the text produced by the big language model is that it shows how far the model’s knowledge about the world extends. The model generally expresses this limitation by using expressions such as “Based on my last update in January 2023.”

LLM-generated text often combines tactics that make detection of the phishing page more complex for cybersecurity tools. For example, attackers can use non-standard Unicode symbols, such as diacritics or mathematical notations, to disguise text and prevent matching by rule-based detection systems.

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Artificial Intelligence

Amazon postponed artificial intelligence-supported Alexa to next year

Amazon announced new plans for artificial intelligence-powered Alexa. Here are all the details.

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Amazon announced new plans for artificial intelligence-powered Alexa. Here are all the details.

If you’re wondering what happened to the new and improved version of Amazon’s Alexa voice assistant, you’re not alone. Bloomberg reports that the new Alexa is still in development and that Amazon has cut off access to the beta phase, including the new “Let’s Chat” phase. As a result, the launch planned for late 2024 has been postponed until next year. The problem seems to be with large language models (LLMs). A follow-up from The New York Times to the report According to the report, the new Alexa is designed to understand more complex questions from users, but it is also more likely to fail when doing some of the most basic things that the old version could do quite easily.

Amazon postpones AI-powered Alexa to next year

Amazon was initially planning to unveil the new version of Alexa AI in October but now the timeline has been extended to next year. (As you may have noticed, October has come and gone.) Original The timeline had planned for the next evolutionary step in Alexa’s progress to premiere on October 17, but Amazon decided to use that date to show off its new Kindle e-reader line. Then in August, news emerged that the new Alexa would be powered by Anthropic’s Claude AI and would come with a monthly subscription fee. For this reason, the situation was postponed for a long time and remained until the new year. However, it can be said that the company does not deviate from its plans.

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Artificial Intelligence

Apple is Behind Its Competitors in Artificial Intelligence Technology

Sources within Apple did not speak well for the company. They said that the Cupertino company was far from impressing users. Here are the details…

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Sources within Apple did not speak well for the company. They said that the Cupertino company was far from impressing users. Here are the details…

Mark Gurman, AppleHe stated that ‘s artificial intelligence technology is two years behind its competitors. Gurman attributes this situation to what he learned from sources within the company. According to sources, Apple’s artificial intelligence features are far from impressing users when compared to its competitors such as Google, OpenAI or Meta. For example, ChatGPT provides 25% more accurate answers and answers 30% more questions than the new Siri. Of course, Apple collaborated with OpenAI and integrated ChatGPT into their operating system. We should not forget this either.

Apple

Mark Gurman emphasized that, despite everything, the Cupertino company has a magnificent ecosystem and that the coordination and integration between devices provides the advantage of being able to use new technologies faster. While the company tries to close the artificial intelligence gap with its competitors, it will take full advantage of the ecosystem. In addition, it should not be ignored that the technology giant is successful in entering new markets and proceeds with detailed strategies.

iPhone 15 Pros, iPhone 16 series, all Macs with M processors, and new generation iPads, including the iPad mini 7 announced last week, support Apple Intelligence. Artificial intelligence features will be available on these devices with iOS 18.1, which is expected to be released next week. iPhone SE 4 and iPad 11, which are said to be released in 2025, will also have artificial intelligence features. The company has already shown that it will bring artificial intelligence to every device with iPad mini 7. That’s why it’s unthinkable to skip the iPhone SE 4 and iPad 11.

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