Artificial intelligence (AI) is swiftly transforming the software industry, with tools like ChatGPT and GitHub Copilot aiding developers in coding, debugging, and offering suggestions. Although these AI applications boost productivity and expedite software development, companies express concern over their impact on developer skills. Despite the advantages of AI, employers expect developers to possess strong foundational knowledge, including proficiency in data structures, system design, independent debugging, and effective communication. Many candidates, however, struggle with articulating their coding logic and effectively collaborating in teams, leading to a skills gap that concerns employers. Companies also recognize the risks associated with AI, such as potential bugs in AI-generated code and reduced creativity. To thrive, developers should focus on deepening their technical expertise, reviewing AI-generated code critically, and using AI as a supportive tool rather than a substitute for critical thinking. Balancing AI integration with core skills will drive future innovation in software development.
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Do AI Tools Undermine Developer Skills? Exploring the Impact of AI Applications
Google Unveils New App for Downloading and Running AI Models Locally
Google has launched the Google AI Edge Gallery app, enabling users to run various AI models from Hugging Face on Android devices, with an iOS version to follow. This app allows for offline access to capabilities like image generation, question answering, and code editing, utilizing users’ phone processors. While cloud-based AI models are typically more powerful, the app addresses data privacy concerns by enabling offline use. The experimental app features a user-friendly interface with shortcuts for tasks such as “Ask Image” and “AI Chat” and includes a “Prompt Lab” for single-turn tasks, offering templates and settings for customization. Performance may vary based on device hardware and model size, with larger models requiring more processing time. Google encourages developer feedback, and the app is available under an Apache 2.0 license, allowing broad usage without restrictions.
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Google Unveils New App for Local Download and Execution of AI Models
Google recently launched the Google AI Edge Gallery app, allowing users to run various AI models from Hugging Face on their Android devices, with an iOS version forthcoming. This app enables offline functionality for tasks like image generation, question-answering, and code writing, tapping into smartphone processors. While cloud-based AI models are often more robust, they raise concerns about data privacy and internet dependency. The app features a user-friendly interface, showcasing shortcuts to tasks such as “Ask Image” and “AI Chat.” Users can explore different models suited for each capability, including Google’s Gemma 3n, and utilize a “Prompt Lab” to initiate tasks like summarizing text. Performance varies based on device hardware and model size. Google invites developer feedback on this experimental Alpha release, which is available on GitHub under an Apache 2.0 license, permitting broad usage.
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I Transformed My Photos into Short Videos Using AI on Honor’s Latest Phones—Here’s What Happened!
The Honor 400 and 400 Pro, midrange phones not available in the US, feature Google’s innovative image-to-video AI generator, part of the Veo 2 model. Integrated into Honor’s Gallery app, this tool converts still images into five-second videos, allowing users to breathe life into their photos. The results can be both impressive and unsettling, showcasing the dual edge of AI technology in photography. Users select a photo, adjust the aspect ratio, and the AI generates a video, often within 30 seconds. However, the outcomes can be hit or miss; while some animations impress, others fall into the “uncanny valley” realm, distorting features in unnatural ways. This blend of creativity and eeriness raises questions about the authenticity of photography as AI advances to create entirely fabricated videos from still images, pushing the boundaries of what we perceive as real in visual media.
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TSMC to Launch Chip Design Center in Munich, Potentially Boosting AI Development – Reuters
Taiwan Semiconductor Manufacturing Company (TSMC) is set to establish a chip design center in Munich, Germany. This initiative is part of TSMC’s broader strategy to strengthen its presence in Europe and enhance collaboration with local industries. The facility aims to support the development of advanced semiconductor technologies, which could later extend to artificial intelligence (AI) applications. By fostering partnerships with European companies and research institutions, TSMC plans to facilitate innovation and meet the growing demand for semiconductor solutions in various sectors. The Munich center will serve as a hub for designing chips that could power next-generation technologies. TSMC’s move is significant in the context of increasing geopolitical tensions and the push for greater self-sufficiency in semiconductor manufacturing in Europe. The company’s expansion is expected to contribute to the local economy while reinforcing its leadership in the global semiconductor market.
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JD Cloud and Logistics AI Revolutionize JD.com’s 618 Grand Promotion: A Showcase of Retail Technology Innovation
JD Cloud has launched five free AI-powered marketing tools for third-party merchants, enhancing its digital representative technology, which supports over 13,000 brands. Additionally, its AI merchant service platform, Jingxiaozhi 5.0, now caters to over 900,000 merchants. Meanwhile, JD Logistics has implemented its largest technology roll-out to improve delivery systems across more than 400 cities, utilizing goods-to-person systems, autonomous vehicles, and smart sorting technologies.
In conjunction with these developments, the RTIH Innovation Awards has introduced the RTIH AI in Retail Awards, acknowledging the transformative impact of AI in retail. The awards aim to recognize companies effectively integrating AI into everyday processes by 2025, with a goal of boosting efficiency and innovation. The winners will be announced during a ceremony on September 3rd at The Barbican in London, following a drinks reception and a three-course meal, with critical dates for entries and announcements set for the summer.
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Gemini Live Unveils Astra Features for Free Users at Last!
Gemini Live has expanded its camera and screen-sharing features to all users on Android and iOS, making these functionalities accessible regardless of subscription status. Initially, Google introduced these features to select devices and later made them available to Google One AI Premium plan subscribers. The rollout to free-tier users was announced last month and has officially begun.
These enhancements allow users to interact with their device camera and screen to receive assistance on various topics, enhancing the overall experience of the Gemini Live application. Previously, free-tier users encountered grayed-out buttons for these features, limiting their accessibility. Now, anyone using the app can utilize them, though it remains unclear if there will be usage restrictions for non-paying users.
To utilize the new capabilities, users can activate Gemini Live by tapping the waveform icon next to the redesigned prompt bar. Screen sharing provides options to share the entire screen or contents of a specific app, with a persistent indicator displaying the duration of the session. This user-friendly interface allows for diverse applications, from fashion advice to educational inquiries. Gemini Live now joins the growing list of features that transitioned from a paid model to free availability, effectively broadening its user base and functionality. Overall, the features are reported to perform well even on older devices, underscoring Gemini Live’s value to a wider audience.
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“DeepSeek R1 Update: Could OpenAI ChatGPT and Google Gemini 2.5 Be at Risk?” – Tech News
DeepSeek has introduced an upgraded AI model, the DeepSeek-R1-0528, which shows promise in outperforming competitors like ChatGPT and Gemini based on initial benchmark tests. This model outperforms Gemini’s free version and nearly matches the performance of OpenAI’s o3 model. Additionally, DeepSeek has released a “distilled” variant called DeepSeek-R1-0528-Qwen3-8B, which is designed for efficiency, requiring significantly fewer resources while maintaining robust performance.
The lightweight version, based on Alibaba’s Qwen3-8B model, has excelled in the AIME 2025 test by solving complex mathematical problems faster than Google’s Gemini 2.5 Flash and has matched Microsoft’s Phi 4 reasoning model in the HMMT evaluations. Notably, while the full DeepSeek-R1-0528 requires over 12 GPUs with 80GB RAM each, the distilled version can operate on a single GPU with just 40GB of RAM, demonstrating its resource efficiency.
This balance of high performance with low resource demands makes the DeepSeek-R1-0528-Qwen3-8B model appealing for both academic research and small-scale industrial applications. Further enhancing its attractiveness, this model is released under a permissive MIT license, allowing unrestricted commercial use, distinguishing it from the proprietary limitations of OpenAI and Google’s models.
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Sora and Gemini: Pioneering the Future of AI Innovation
The 21st century has witnessed a video revolution, beginning with camcorders for amateur filmmakers and evolving into the widespread use of smartphones and social media for content creation. By 2023, platforms like TikTok made shooting and editing videos incredibly accessible. However, 2024 introduces a groundbreaking development in video creation technology: Sora, an AI from OpenAI that can generate films from simple text prompts. This innovation could potentially eliminate the need for cameras or phones for creating photorealistic movies. Like ChatGPT transformed text generation, Sora is poised to reshape how video content is produced. In a recent episode of “Mike & Amit Talk Tech,” IMD professors discuss these innovations from OpenAI and their implications for the future of filmmaking. The introduction of Sora signifies a pivotal change in the landscape of video production, implying that anyone with a creative idea can become a filmmaker without traditional equipment or skills. As AI continues to advance, the role of human creators may evolve, raising questions about the future of creative industries and the democratization of content creation.
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AI Tool Could Empower Prostate Cancer Patients to Access Life-Saving Drug That Reduces Death Risk by 50% — The Kashmir Monitor
Scientists have developed a groundbreaking artificial intelligence (AI) test that can identify men with high-risk prostate cancer who will benefit most from the drug abiraterone, which is known to nearly halve the risk of death. Abiraterone has been a transformative treatment in prostate cancer care but is often restricted to advanced stages of the disease in some countries. This new AI tool, created by researchers from the US, UK, and Switzerland, aims to broaden access by accurately identifying patients who are likely to respond to the drug before their cancer progresses.
The AI algorithm analyzes routine pathology slides, detecting subtle features in tumor images that elude human observation. Tests on biopsy samples from over 1,000 men revealed that about 25% could significantly benefit from adding abiraterone to standard hormone therapy, nearly halving their mortality risk.
Professor Gert Attard, a co-leader of the study, highlighted the potential of AI in tailoring treatments and reducing overtreatment, offering personalized therapies that can enhance survival rates. Abiraterone functions by inhibiting testosterone production throughout the body, including within tumors, thereby stymieing cancer growth.
Professor Nick James, another co-lead, stressed the study’s policy implications, advocating for a reconsideration of funding for abiraterone for high-risk non-metastatic patients by health systems like NHS England. The trial results were presented at the American Society of Clinical Oncology (ASCO) Annual Meeting 2025.
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