Coding Archives

AppWizard

August 14, 2025

Surge in Android Malware Targets Banking Apps with NFC Fraud

A new wave of Android malware is targeting banking applications, utilizing techniques such as NFC relay fraud, call hijacking, and root-level exploits. Variants like PhantomCard, SpyBanker, and KernelSU are designed to infiltrate devices and manipulate transactions in real time. PhantomCard mimics legitimate NFC payment processes, SpyBanker hijacks calls from financial institutions, and KernelSU exploits kernel vulnerabilities for persistent access. This malware has affected thousands of devices, with attackers using disguises on the Google Play Store and phishing campaigns. A related variant, Anatsa, impacted over 90,000 users through fake PDF applications. The rise of such malware correlates with the increasing adoption of contactless payments, particularly in Europe and Asia. Experts recommend that banks enhance their defenses with behavioral analytics and that users enable app verification. Additionally, malware like KernelSU allows evasion of detection by operating at the system's core. Cybersecurity firms suggest a multi-layered security approach, including device encryption and AI-driven threat detection, to combat these evolving threats.

AppWizard

August 13, 2025

Google Gemini Canvas On Android: New Features Could Transform Mobile AI Experience

Google is enhancing the Canvas feature within its Gemini AI app on Android, expanding its functionality to allow users to create various content formats and develop apps within a sandbox-style interface. These updates were identified in the beta version 16.31.75.sa.arm64 of the Google app for Android during an APK teardown. The new capabilities may enable users to create web pages, infographics, quizzes, audio overviews, and apps directly from Canvas, moving closer to the interactivity available in the web version. However, Google has not officially confirmed the rollout or provided a timeline for when these features will be available to beta testers or the general public.

AppWizard

August 10, 2025

My Google Keep notes were a mess — here’s how I got them under control

A user reflected on their experience with Google Keep, noting challenges in managing a growing collection of notes despite attempts at color-coding and pinning. They committed to better organization through labels and deleting outdated notes. In a poll, users shared their strategies for maintaining order: 16% delete and archive old notes, 19% color-code notes, 13% pin important notes, 14% use labels, 22% use another app for complex notes, and 16% use all of the above. Organizing notes into categories with labels has been beneficial, allowing users to filter and reduce clutter. Users expressed a desire for enhanced organizational features, like folders. A user recognized a tendency to hoard unnecessary information and conducted a cleanup, deleting irrelevant notes. Some users moved complex notes, such as medication tracking and pet vet visits, to Notion for better organization, as it offers more advanced features than Google Keep. Despite these changes, Google Keep remains popular for quick notes and spontaneous ideas.

AppWizard

August 10, 2025

Google can make AI good if it puts its mind to it. The Storybook Gem is proof

Skepticism towards artificial intelligence exists, with some viewing the surge in AI development as profit-driven, particularly by companies like Google. Google has introduced Gemini, which features Storybook, allowing users to create a 10-page children's book by specifying a theme and illustrations. This tool enhances user experience and fosters creativity, especially for storytelling between grandparents and grandchildren. However, there are concerns about the misuse of AI technology. The text reflects on Google's past initiatives aimed at positive societal impact, contrasting them with a current focus on consumer products. There is a desire for more user-friendly applications that benefit society, such as tools for children to learn coding or assist seniors. The integration of Gemini AI into devices like the Google Pixel 9 Pro demonstrates how technology can enhance creativity and everyday experiences.

Winsage

August 6, 2025

AWS Offers OpenAI’s Models on Its Platform for the First Time

OpenAI has made its gpt-oss models, with 120 billion and 20 billion parameters, available for public use on AWS's Bedrock platform, marking the first open model release since GPT-2 in 2019. These models are not entirely open source, as users do not have access to the underlying code or training datasets. AWS's chief evangelist, Danilo Poccia, expressed enthusiasm for the integration of these models, which are designed for coding, scientific analysis, and mathematical reasoning, and can be integrated into business workflows. Analysts note that OpenAI's models provide substantial value compared to competitors, aligning with Amazon's cost-saving strategy. AWS hosts various open models, but Claude from Anthropic was absent from the recent press release, indicating a complex competitive landscape. The addition of OpenAI's models to AWS is seen as a potential step towards deeper collaboration between the two companies.

Winsage

August 6, 2025

OpenAI’s New Open Models Accelerated Locally on NVIDIA GeForce RTX and RTX PRO GPUs

NVIDIA has partnered with OpenAI to enhance the gpt-oss models for NVIDIA GPUs, enabling rapid inference and supporting millions of users on NVIDIA RTX AI PCs. The gpt-oss-20b and gpt-oss-120b models, trained on NVIDIA H100 GPUs, feature open-weight reasoning and can handle context lengths of up to 131,072 tokens. Users can utilize these models through frameworks like Ollama, which provides a user-friendly interface for experimentation. The models are optimized for RTX GPUs and support applications such as web search and coding assistance. Developers can also access the models via Microsoft AI Foundry Local and other frameworks, with NVIDIA contributing to open-source projects to enhance performance.

Winsage

August 6, 2025

OpenAI open weight models now available on AWS

AWS has introduced two new OpenAI models with open weights, the gpt-oss-120b and gpt-oss-20b, available through Amazon Bedrock and Amazon SageMaker JumpStart. These models are designed for text generation and reasoning tasks, excelling in coding, scientific analysis, and mathematical reasoning, with performance comparable to leading alternatives. They support a context window of 128K and adjustable reasoning levels (low, medium, high). Users can access these models via an OpenAI-compatible endpoint in Bedrock, utilizing the OpenAI SDK or Bedrock APIs for integration. To access the models in Amazon Bedrock, users must request access through the console and can evaluate them using the Chat/Test playground. The process for using the OpenAI SDK involves configuring the API endpoint and authentication with an Amazon Bedrock API key. Users can build AI agents using frameworks that support the Amazon Bedrock API or OpenAI API, with deployment facilitated by Amazon Bedrock AgentCore. The OpenAI models are available in the US West (Oregon) region through Amazon Bedrock and in the US East (Ohio, N. Virginia) and Asia Pacific (Mumbai, Tokyo) regions via SageMaker JumpStart. Each model provides full chain-of-thought output capabilities for enhanced interpretability. They can be modified and customized to meet specific needs, and security measures are in place to ensure robust evaluation processes. Compatibility with the standard GPT-4 tokenizer is also included. For cost details, users can refer to the Amazon Bedrock and SageMaker AI pricing pages.

AppWizard

August 5, 2025

Key Benefits of Hiring a Detroit-Based Android App Development Company in 2025

The mobile app market is experiencing significant growth in 2025, with Android holding over 71% of the global smartphone market share. The North American Android app development sector is projected to reach .31 billion by 2026, driven by increased smartphone adoption and a shift to mobile-first strategies. Small and medium-sized enterprises view mobile apps as essential for customer engagement and operational efficiency, with 87% recognizing their importance. Detroit has become a key player in mobile app development, benefiting from its strategic location in the Eastern Time Zone, which facilitates real-time collaboration with partners across North America. The city offers competitive tax incentives, lower operational costs, and a growing pool of tech talent, with major companies like Google and Microsoft establishing operations there. Local development teams in Detroit can engage in synchronous collaboration, enhancing decision-making and minimizing miscommunication. They possess a deep understanding of North American business practices and regulatory requirements, leading to better-designed apps that resonate with users. Engaging Detroit-based developers can be more cost-effective than offshore alternatives, as local teams typically complete projects 30-40% faster. The average cost to develop a medium-complexity Android app in Detroit ranges from ,000 to 0,000, significantly lower than in cities like San Francisco. Detroit's tech talent pool has expanded due to local universities and coding bootcamps, producing graduates specializing in mobile app development. The city attracts experienced developers seeking better work-life balance and lower living costs. Canadian companies benefit from Detroit's proximity and cultural similarities, facilitating partnerships and simplifying cross-border projects. U.S. development services are often competitively priced for Canadian businesses when considering quality. Detroit's Android app development firms are integrating advanced technologies such as AI, machine learning, and IoT into applications. The city's automotive industry expertise enhances development for connected vehicles and industrial IoT systems. Local development relationships focus on long-term partnerships, ensuring ongoing support and updates for applications. Proximity allows for regular communication and strategic planning, fostering better outcomes and stronger business relationships.

AppWizard

August 1, 2025

Gemini 2.5 Deep Think is finally heading to Google AI Ultra users

Google has rolled out an enhanced version of its Gemini 2.5 Deep Think model for subscribers of the Google AI Ultra plan. This upgraded model is designed to tackle complex challenges, including advanced mathematics and coding tasks, with improved speed and efficiency. It achieves a Bronze-level score in internal International Math Olympiad assessments and excels in benchmarks like LiveCodeBench V6 and Humanity’s Last Exam. The Google AI Ultra subscription, priced at per month, also includes early access to experimental video models, increased limits on tools, and 30TB of storage. An alternative, the Google AI Pro plan, is available at 0 annually.

AppWizard

August 1, 2025

Google releases Gemini 2.5 Deep Think for AI Ultra subscribers

Google is rolling out its latest AI model, Gemini 2.5 Deep Think, which is available exclusively through the Gemini app and requires a subscription to Google's premium AI Ultra plan. Deep Think enhances the capabilities of Gemini 2.5 Pro by increasing "thinking time" through greater parallel analysis, allowing it to explore various problem-solving methods. It requires several minutes to formulate a response, contributing to its proficiency in design aesthetics, scientific reasoning, and coding. Deep Think has been benchmarked against other models, showing superiority over Gemini 2.5 Pro and competing models like OpenAI's o3 and Grok 4. It scored 34.8 percent on Humanity's Last Exam, outperforming other models that typically score between 20 to 25 percent.