AI tools

Winsage
July 24, 2025
The adoption of AI-powered personal computers is expected to increase significantly in the coming year, driven by Qualcomm's announcement of new AI chips for affordable models priced around 0. Despite the slower evolution of AI software compared to hardware, the relevance of AI in computing is growing, with many applications utilizing AI hardware or neural processing units (NPUs). Microsoft has introduced Copilot+ PCs to promote generative AI tools and encourage the acquisition of Windows 11-compatible hardware. Major chip manufacturers like Intel, Qualcomm, and AMD are developing processors with AI capabilities for these PCs, indicating a shift in the computing landscape.
Winsage
July 24, 2025
Microsoft has rolled out new features for Windows 11, transitioning tools from testing to general availability. Key additions include semantic and agentic search functionalities in the Settings menu, allowing users to express queries in natural language and request specific tasks. The Click-to-Do feature now integrates with Copilot and a new Reading Coach application for context-aware actions. Paint has been upgraded to allow AI-generated stickers and includes a new object select tool for easier image editing. The Photos app will introduce a Relight feature for dynamic lighting effects, limited to devices with Snapdragon X processors. The Snipping Tool has a new “perfect screenshot” feature that uses AI for improved selection, and a new Black Screen of Death and rapid recovery option have reduced crashes and restarts by 22%.
AppWizard
July 23, 2025
On July 23, 2025, Google announced that its Play and Android ecosystem generated ₹4 lakh crore in revenue for app publishers and the economy in 2024, creating approximately 35 lakh jobs. India has the second largest number of active developers on Google Play, contributing over 10 lakh developer jobs. Surveys indicate that 72% of Indian users accessed the internet for the first time via an Android device, with 85% using Android phones as their primary gateway to digital public services. The open-source nature of Android has led to estimated savings of ₹25,200 crore in development and operational costs. At the Google I/O Connect India 2025 conference, Google introduced initiatives such as localizing data processing for Gemini 2.5 Flash, new AI tools in Firebase Studio, a training program with Unity, and partnerships with start-ups from the India AI Mission. Google is also working with BharatGen at IIT Bombay to develop Automatic Speech Recognition and Text-to-Speech models for Indic languages.
AppWizard
July 22, 2025
Google has announced the general availability of its Gemini 2.5 Flash-Lite model, which is described as the most cost-efficient and fastest version in the 2.5 series. The pricing for this model is set at [openai_gpt model="gpt-4o-mini" prompt="Summarize the content and extract only the fact described in the text bellow. The summary shall NOT include a title, introduction and conclusion. Text: What you need to know Google has officially unveiled the "general availability" of its Gemini 2.5 Flash-Lite model, a significant addition to its suite of AI offerings. This latest variant is touted as the most cost-efficient and fastest in the 2.5 series, promising to enhance productivity for developers and businesses alike. The pricing structure for this model is particularly appealing, with costs set at [cyberseo_openai model="gpt-4o-mini" prompt="Rewrite a news story for a business publication, in a calm style with creativity and flair based on text below, making sure it reads like human-written text in a natural way. The article shall NOT include a title, introduction and conclusion. The article shall NOT start from a title. Response language English. Generate HTML-formatted content using tag for a sub-heading. You can use only , , , , and HTML tags if necessary. Text: What you need to knowGoogle announced the "general availability" of its Gemini 2.5 Flash-Lite model, which is said to be its most cost-efficient and fastest version in the 2.5 series.While developers can find $0.10 per 1M token input and $0.40 for output, 2.5 Flash-Lite has already gone through some heavy real-world scenarios.Companies like Satlyt have used the model to help summarize telemetry data and process satellite data far quicker than before.Gemini 2.5 Flash-Lite entered its preview stage in June during the public availability of 2.5 Flash and 2.5 Pro in the Gemini app, Vertex AI, and AI Studio.The finale to Google's recent string of 2.5 models has arrived, as the company highlights a Gemini variant previously held in testing.This afternoon (July 22), in an email to Android Central, Google announced the "general availability" of Gemini 2.5 Flash-Lite, which has exited its preview stage. The company went into more in-depth detail in a Developers blog post, stating this Gemini variant is its "fastest" and most "cost-efficient" AI model. The post details developers will find costs at $0.10 per 1M token input and $0.40 for output.with Google's 2.5 Gemini models over the past month. In June, the company brought its 2.5 Pro and 2.5 Flash models into the public eye via the Gemini app, Google AI Studio, and Vertex AI spaces. The most important part of that announcement was revealing that 2.5 Flash-Lite was entering its preview stage. This iteration came only a few months after Google made the 2.0 version public earlier this year.At the time, Google pushed the cost-efficient and fast sides of 2.5 Flash-Lite for developers looking to quicken their workload. In the event that you require more thought power, there is Gemini 2.5 Pro." temperature="0.3" top_p="1.0" best_of="1" presence_penalty="0.1" ].10 per 1 million tokens for input and [cyberseo_openai model="gpt-4o-mini" prompt="Rewrite a news story for a business publication, in a calm style with creativity and flair based on text below, making sure it reads like human-written text in a natural way. The article shall NOT include a title, introduction and conclusion. The article shall NOT start from a title. Response language English. Generate HTML-formatted content using tag for a sub-heading. You can use only , , , , and HTML tags if necessary. Text: What you need to knowGoogle announced the "general availability" of its Gemini 2.5 Flash-Lite model, which is said to be its most cost-efficient and fastest version in the 2.5 series.While developers can find $0.10 per 1M token input and $0.40 for output, 2.5 Flash-Lite has already gone through some heavy real-world scenarios.Companies like Satlyt have used the model to help summarize telemetry data and process satellite data far quicker than before.Gemini 2.5 Flash-Lite entered its preview stage in June during the public availability of 2.5 Flash and 2.5 Pro in the Gemini app, Vertex AI, and AI Studio.The finale to Google's recent string of 2.5 models has arrived, as the company highlights a Gemini variant previously held in testing.This afternoon (July 22), in an email to Android Central, Google announced the "general availability" of Gemini 2.5 Flash-Lite, which has exited its preview stage. The company went into more in-depth detail in a Developers blog post, stating this Gemini variant is its "fastest" and most "cost-efficient" AI model. The post details developers will find costs at $0.10 per 1M token input and $0.40 for output.with Google's 2.5 Gemini models over the past month. In June, the company brought its 2.5 Pro and 2.5 Flash models into the public eye via the Gemini app, Google AI Studio, and Vertex AI spaces. The most important part of that announcement was revealing that 2.5 Flash-Lite was entering its preview stage. This iteration came only a few months after Google made the 2.0 version public earlier this year.At the time, Google pushed the cost-efficient and fast sides of 2.5 Flash-Lite for developers looking to quicken their workload. In the event that you require more thought power, there is Gemini 2.5 Pro." temperature="0.3" top_p="1.0" best_of="1" presence_penalty="0.1" ].40 for output. This pricing strategy aims to make advanced AI capabilities accessible to a broader range of users. Notably, Gemini 2.5 Flash-Lite has already been put to the test in real-world scenarios. Companies such as Satlyt have leveraged this model to expedite the summarization of telemetry data and process satellite information with remarkable speed. This development follows the preview stage initiated in June, coinciding with the public release of the 2.5 Flash and 2.5 Pro models within the Gemini app, Vertex AI, and AI Studio platforms. The culmination of Google's recent advancements in the 2.5 model lineup has arrived, marking a pivotal moment for the tech giant. In a communication to Android Central, Google confirmed that Gemini 2.5 Flash-Lite has transitioned from its testing phase to general availability. The announcement was further elaborated in a blog post on the Developers platform, emphasizing the model's speed and cost-effectiveness. With the introduction of Gemini 2.5 Flash-Lite, Google continues to build on its legacy of innovation. The company previously showcased its 2.5 Pro and 2.5 Flash models, which were made publicly available in June. This strategic rollout underscores Google's commitment to providing powerful AI tools that cater to the diverse needs of developers. For those seeking enhanced computational capabilities, the Gemini 2.5 Pro remains an option, ensuring that users can choose the level of power that best suits their requirements. As the landscape of AI continues to evolve, Google's latest offerings are poised to play a crucial role in shaping the future of technology." max_tokens="3500" temperature="0.3" top_p="1.0" best_of="1" presence_penalty="0.1" frequency_penalty="frequency_penalty"].10 per 1 million tokens for input and [openai_gpt model="gpt-4o-mini" prompt="Summarize the content and extract only the fact described in the text bellow. The summary shall NOT include a title, introduction and conclusion. Text: What you need to know Google has officially unveiled the "general availability" of its Gemini 2.5 Flash-Lite model, a significant addition to its suite of AI offerings. This latest variant is touted as the most cost-efficient and fastest in the 2.5 series, promising to enhance productivity for developers and businesses alike. The pricing structure for this model is particularly appealing, with costs set at [cyberseo_openai model="gpt-4o-mini" prompt="Rewrite a news story for a business publication, in a calm style with creativity and flair based on text below, making sure it reads like human-written text in a natural way. The article shall NOT include a title, introduction and conclusion. The article shall NOT start from a title. Response language English. Generate HTML-formatted content using tag for a sub-heading. You can use only , , , , and HTML tags if necessary. Text: What you need to knowGoogle announced the "general availability" of its Gemini 2.5 Flash-Lite model, which is said to be its most cost-efficient and fastest version in the 2.5 series.While developers can find $0.10 per 1M token input and $0.40 for output, 2.5 Flash-Lite has already gone through some heavy real-world scenarios.Companies like Satlyt have used the model to help summarize telemetry data and process satellite data far quicker than before.Gemini 2.5 Flash-Lite entered its preview stage in June during the public availability of 2.5 Flash and 2.5 Pro in the Gemini app, Vertex AI, and AI Studio.The finale to Google's recent string of 2.5 models has arrived, as the company highlights a Gemini variant previously held in testing.This afternoon (July 22), in an email to Android Central, Google announced the "general availability" of Gemini 2.5 Flash-Lite, which has exited its preview stage. The company went into more in-depth detail in a Developers blog post, stating this Gemini variant is its "fastest" and most "cost-efficient" AI model. The post details developers will find costs at $0.10 per 1M token input and $0.40 for output.with Google's 2.5 Gemini models over the past month. In June, the company brought its 2.5 Pro and 2.5 Flash models into the public eye via the Gemini app, Google AI Studio, and Vertex AI spaces. The most important part of that announcement was revealing that 2.5 Flash-Lite was entering its preview stage. This iteration came only a few months after Google made the 2.0 version public earlier this year.At the time, Google pushed the cost-efficient and fast sides of 2.5 Flash-Lite for developers looking to quicken their workload. In the event that you require more thought power, there is Gemini 2.5 Pro." temperature="0.3" top_p="1.0" best_of="1" presence_penalty="0.1" ].10 per 1 million tokens for input and [cyberseo_openai model="gpt-4o-mini" prompt="Rewrite a news story for a business publication, in a calm style with creativity and flair based on text below, making sure it reads like human-written text in a natural way. The article shall NOT include a title, introduction and conclusion. The article shall NOT start from a title. Response language English. Generate HTML-formatted content using tag for a sub-heading. You can use only , , , , and HTML tags if necessary. Text: What you need to knowGoogle announced the "general availability" of its Gemini 2.5 Flash-Lite model, which is said to be its most cost-efficient and fastest version in the 2.5 series.While developers can find $0.10 per 1M token input and $0.40 for output, 2.5 Flash-Lite has already gone through some heavy real-world scenarios.Companies like Satlyt have used the model to help summarize telemetry data and process satellite data far quicker than before.Gemini 2.5 Flash-Lite entered its preview stage in June during the public availability of 2.5 Flash and 2.5 Pro in the Gemini app, Vertex AI, and AI Studio.The finale to Google's recent string of 2.5 models has arrived, as the company highlights a Gemini variant previously held in testing.This afternoon (July 22), in an email to Android Central, Google announced the "general availability" of Gemini 2.5 Flash-Lite, which has exited its preview stage. The company went into more in-depth detail in a Developers blog post, stating this Gemini variant is its "fastest" and most "cost-efficient" AI model. The post details developers will find costs at $0.10 per 1M token input and $0.40 for output.with Google's 2.5 Gemini models over the past month. In June, the company brought its 2.5 Pro and 2.5 Flash models into the public eye via the Gemini app, Google AI Studio, and Vertex AI spaces. The most important part of that announcement was revealing that 2.5 Flash-Lite was entering its preview stage. This iteration came only a few months after Google made the 2.0 version public earlier this year.At the time, Google pushed the cost-efficient and fast sides of 2.5 Flash-Lite for developers looking to quicken their workload. In the event that you require more thought power, there is Gemini 2.5 Pro." temperature="0.3" top_p="1.0" best_of="1" presence_penalty="0.1" ].40 for output. This pricing strategy aims to make advanced AI capabilities accessible to a broader range of users. Notably, Gemini 2.5 Flash-Lite has already been put to the test in real-world scenarios. Companies such as Satlyt have leveraged this model to expedite the summarization of telemetry data and process satellite information with remarkable speed. This development follows the preview stage initiated in June, coinciding with the public release of the 2.5 Flash and 2.5 Pro models within the Gemini app, Vertex AI, and AI Studio platforms. The culmination of Google's recent advancements in the 2.5 model lineup has arrived, marking a pivotal moment for the tech giant. In a communication to Android Central, Google confirmed that Gemini 2.5 Flash-Lite has transitioned from its testing phase to general availability. The announcement was further elaborated in a blog post on the Developers platform, emphasizing the model's speed and cost-effectiveness. With the introduction of Gemini 2.5 Flash-Lite, Google continues to build on its legacy of innovation. The company previously showcased its 2.5 Pro and 2.5 Flash models, which were made publicly available in June. This strategic rollout underscores Google's commitment to providing powerful AI tools that cater to the diverse needs of developers. For those seeking enhanced computational capabilities, the Gemini 2.5 Pro remains an option, ensuring that users can choose the level of power that best suits their requirements. As the landscape of AI continues to evolve, Google's latest offerings are poised to play a crucial role in shaping the future of technology." max_tokens="3500" temperature="0.3" top_p="1.0" best_of="1" presence_penalty="0.1" frequency_penalty="frequency_penalty"].40 for output. Companies like Satlyt have utilized the model for summarizing telemetry data and processing satellite information more quickly. Gemini 2.5 Flash-Lite entered its preview stage in June, alongside the public release of the 2.5 Flash and 2.5 Pro models.
AppWizard
July 15, 2025
Google's AI security agent, Big Sleep, has identified a vulnerability in SQLite, designated as CVE-2025-6965, which was being exploited by hackers. Enhancements have been made to Google's open-source forensics tool, now operating on the upgraded Sec-Gemini platform for improved log analysis and threat detection. Google is set to unveil FACADE, an insider threat detection system that has monitored billions of daily events since 2018 using contrastive learning. At DEF CON 33, Google will co-host a Capture the Flag event with Airbus, involving AI assistants in security challenges. Google is contributing data from its Secure AI Framework to the Coalition for Secure AI to enhance research in cybersecurity. The AI Cyber Challenge, a DARPA-led competition supported by Google, is nearing its conclusion, with winners showcasing AI tools for identifying and rectifying vulnerabilities in open-source software.
AppWizard
July 14, 2025
Recent developments in the technology sector include the rise of artificial intelligence (AI), increased demand for remote work solutions, and a focus on sustainability initiatives. Companies are integrating AI tools to enhance efficiency, investing in technologies for remote collaboration, and adopting greener practices. Investors are particularly interested in startups specializing in AI, cybersecurity, and sustainable technologies, as these sectors are expected to experience significant growth. AI startups are innovating across various industries, cybersecurity firms are addressing rising threats, and sustainable tech companies are responding to consumer demand for eco-friendly options.
AppWizard
July 11, 2025
Google has introduced a new feature in the Gemini app that allows users to convert still images into dynamic videos using Veo 3 technology. Subscribers of Google AI Pro or Ultra can upload a photo and provide a text description for the video output, including specifying soundscapes. Earlier, Google Cloud launched a similar feature for Honor's 400 series with Veo 2, which required a subscription after a trial period. Veo 3 was highlighted at the I/O 2025 event for its audio capabilities and lifelike video generation, and YouTube is considering integrating it into its Shorts platform. Google has also stated that it has implemented measures to ensure user safety with these AI tools.
AppWizard
July 10, 2025
Game-based learning through Minecraft Education effectively engages students across various subjects, promoting critical thinking, teamwork, and creativity while equipping them with essential digital skills. The platform offers ready-to-use, standards-aligned resources in subjects like coding, AI, science, history, and math, transforming education into an enjoyable experience. Minecraft Education prepares students for a digital world by providing hands-on experiences that enhance digital citizenship, responsible AI usage, and coding fluency. Specific programs include "CyberSafe AI," which focuses on digital citizenship and AI literacy; "Hour of Code," which involves solving coding puzzles in a theater setting; and "GameCode," where students create their own mini-games. The platform also addresses core subjects and STEM education through immersive experiences like "Ocean Heroes," which teaches marine conservation; "Data Explorers," which emphasizes data collection and analysis; "Ratio Riddles," which engages students with foundational math concepts; "Peter is Here: AI for Cultural Heritage," which explores architectural history; and the "James Webb Space Telescope Challenge," which invites students to explore the universe. Minecraft Education fosters creative classroom environments through activities like "Wheel of Steve," which enhances collaboration and critical thinking, and "Renewtopia," which teaches about renewable energy sources. The platform supports educators with resources and a community to integrate game-based learning effectively.
AppWizard
July 9, 2025
Android's Photo Picker is receiving an update that introduces a search bar to help users locate specific images more easily. This feature is currently being tested with a select group of users and will be positioned above the Photos and Collections tabs. Additionally, Google is developing a timeline slider to improve navigation through large photo libraries. The update aims to enhance user experience by allowing users to search for photos using keywords and maintain privacy by enabling users to select which photos, GIFs, or videos they wish to share without giving apps access to their entire gallery.
AppWizard
July 8, 2025
AI applications are gaining popularity among Android users in India, transforming content creation, communication, and leisure activities. A list of seven notable AI applications includes: 1. CapCut AI Tools - Evolved from a video editor to a tool for content creators with features like script-to-video conversion and automatic captioning. 2. Picsart AI Photo Studio - Offers AI background removal, text-to-image generation, and various filters, catering to digital artists and marketers. 3. Reface AI - Known for face-swapping and animated avatars, utilizing advanced AI face-tracking technology. 4. AI Mirror - Converts photos into stylized anime or fantasy portraits, popular among Gen Z users. 5. Lensa AI - Features intelligent retouching and portrait enhancement, particularly for profile pictures and dating apps. 6. YouTube Summarized - Summarizes lengthy videos into concise bullet points, useful for students and news enthusiasts. 7. Pi AI - Engages users in a conversational style with emotional intelligence, suitable for journaling and self-reflection.
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