This report delves into the latest technological advancements and market dynamics in the AI and mobile industries, focusing on significant innovations by industry giants. Key topics include Google’s Gemini App launch in India, Meta’s AI assistant, the development of AI chips by major technology firms, Samsung’s sustainability initiatives, recent product launches, and issues at Foxconn’s India plant. Highlights include the Gemini App's support for multiple Indian languages, Meta's AI integration across platforms, proprietary AI chips from Google, Microsoft, Amazon, and Meta to compete with Nvidia, and Samsung's commitment to sustainability in its Galaxy products. The report also covers noteworthy market trends, such as the launch of the iPhone 14 and upcoming Samsung devices, and an investigation into discriminatory hiring practices at Foxconn’s India plant.
Google has introduced its Gemini app in India, following its initial release in the United States more than four months ago. The AI assistant aims to make technology more accessible and useful for users.
The Gemini app now supports nine Indian languages, including Hindi, Bengali, Gujarati, Kannada, Malayalam, Marathi, Tamil, Telugu, and Urdu, alongside English. This expansion is designed to empower users by providing AI assistance in their preferred language.
Users can interact with the Gemini app by typing, talking, or adding an image to receive AI assistance. The basic version is powered by Gemini 1.0 Pro, and a paid option called Gemini Advanced uses the more powerful Gemini 1.5 Pro model. Gemini Advanced boasts a massive 1 million token context window, enabling users to process and understand vast amounts of information.
Android users in India can download the Gemini app from the Play Store or set it as the default AI assistant in the Google Assistant app. iOS users will get access through the Google app in the coming weeks. Additionally, Google has integrated Gemini into Google Messages for Indian users with initial support for English.
Meta has launched its AI assistant, a rival to ChatGPT, in India. This AI assistant, powered by Meta Llama 3, was first announced at the Connect event in 2023. It is designed to offer generative AI-enabled search capabilities and assistance across various Meta platforms including Facebook, Messenger, WhatsApp, and Instagram.
The Meta AI assistant is integrated into several popular Meta apps, including WhatsApp, Instagram, Facebook, and Messenger. Users do not need to install a separate application to access the AI assistant; it is readily available within these existing platforms.
Meta's AI assistant offers a range of functionalities such as generative AI-enabled search, information-seeking capabilities, and assistance with various tasks. For instance, WhatsApp users can ask the assistant for restaurant recommendations or ideas for road trips. Students can use it to create multiple-choice tests, and new apartment dwellers can ask the assistant to 'imagine' the aesthetic they want for their home decor, aiding them in creating AI-generated mood boards.
The timing of Meta's AI assistant launch closely follows Google's rollout of its Gemini app in India. Like Google Gemini and OpenAI's ChatGPT, Meta’s AI assistant aims to provide robust generative AI capabilities directly within Meta's suite of social media and communication platforms.
Nvidia's significant role in the AI chip market is primarily due to their GPUs, which are essential for AI tasks such as training large learning models. Nvidia's H100 AI chips are specifically designed for AI applications and offer substantial performance improvements over traditional CPUs. This dominance has made companies like Google, Microsoft, Amazon, and Meta highly reliant on Nvidia's technology.
In response to Nvidia's dominance and the high demand for AI chips, several major tech firms have started developing their own AI chips. Google has designed Tensor Processing Units (TPUs), with the latest chip, Trillium, offering five times the performance of its predecessor. Microsoft introduced the Azure Maia 100 AI chip for cloud-based AI workloads, while Amazon's AWS Trainium, specifically designed for deep learning training, boasts up to 4x faster performance than its predecessor. Meta has developed the second-generation 'Artemis' AI chip, focusing on serving ranking and recommendation models.
Google's Tensor Processing Units (TPUs) are custom-designed to power AI models, with Trillium being the latest iteration. Microsoft's Azure Maia 100 AI chip supports cloud-based AI workloads and is undergoing testing with applications like the Bing AI chatbot and GitHub Copilot. Amazon's AWS Trainium is a machine learning chip specifically created for deep learning training, with the latest version, Trainium2, providing up to four times the training performance of the original chip. Meta's Artemis AI chip is the second-generation product designed to excel in memory bandwidth and compute balance for ranking and recommendation models.
AMD has unveiled its MI325X accelerator at Computex, expected to be available by Q4 2024, and plans to release the MI350 series in 2025, which aim to perform 35 times better in AI inference tasks. Additionally, AMD's MI400 series will be available in 2026. Intel's first-generation Gaudi AI deep learning processor is designed for deep learning performance and efficiency, with claims of offering flexible system scaling.
Samsung Electronics has committed to incorporating recycled materials in all Galaxy products. The company is also working towards eliminating plastic from its product packaging by 2025. Advanced goals include achieving zero standby power consumption for all smartphone chargers by 2025 and obtaining the 'Zero Waste to Land Fill' Platinum Certification for all global business sites by 2025. The resource diversion rate is targeted to be 99.5% or higher, as issued by UL.
Samsung is making continued efforts to expand the use of recycled materials, including recycled cobalts, rare earth elements, recycled steel, and TPU (Thermoplastic Polyurethane). The goal is to incorporate these materials in Galaxy devices for the first time. It has also achieved reducing the amount of plastic in packaging to only 1.7% of total packaging, a reduction of 96.6% compared to the Galaxy S7. Further, 100% recycled paper is used for packaging components.
Samsung is aiming to transition to 100% renewable energy by 2027. All their global operations are working towards obtaining the 'Zero Waste to Landfill' Platinum Certification by 2025. Furthermore, efforts include stringent management of hazardous substances and aiming for reduced single-use plastics in packaging.
Samsung Electronics has received numerous awards and certifications for its environmental efforts. These include the 2022 SEAL Business Stability Awards for the Sustainable Product Award, the 2023 Social Impact Awards for the 'Transforming Ghost Nets into Mobile Technology' campaign, and the Responsible Business Award from Reuters for two consecutive years in 2020 and 2021. Their Galaxy S10 packaging received the U.S. EPA's SMM Champion Award. Energy efficiency recognition includes the Energy Winner Award for the Galaxy Book3 Pro 360 at the 26th Energy Winners of the Year Awards. Additionally, several of their devices have been certified for Carbon Footprint by the Carbon Trust and have also obtained UL ECOLOGO certification.
The iPhone 14 is available on Amazon with a variety of discounts and offers. The device features Apple's A15 Bionic SoC, Ceramic Shield material, and has an IP68 rating, enhancing its durability. The 128GB variant of the iPhone 14 is offered at Rs 62,800, down from Rs 79,900, yielding a 21% discount. Additional savings can be achieved through a bank offer and trading in an old smartphone, which could reduce the price to Rs 13,510. The phone includes a 6.1-inch Super Retina XDR OLED display, supports HDR content, and has versatile camera capabilities with a 12-megapixel wide-angle lens, a secondary 12-megapixel ultra-wide-angle sensor, and a 12-megapixel TrueDepth front camera. The sleek design of the iPhone 14 incorporates a flat-edge aerospace-grade aluminum frame.
Nikon's Z6III camera offers advanced features like a partially-stacked CMOS sensor for 3.5x faster focusing and high-speed continuous shooting up to 120 fps. It can record videos up to 4K UHD/60p format. BenQ introduced the ZOWIE XL2586X gaming monitor which features a 540Hz refresh rate and DyAc 2 technology for improved motion clarity. BenQ also released a new wireless gaming mouse with an improved receiver that doubles as a charging dock. HP launched new EliteBook Ultra and OmniBook X AI PCs with Qualcomm Snapdragon X Elite series chipset and up to 26 hours of battery life. Vivo introduced the Y58 series with a 6.72-inch full HD+ screen, a Snapdragon 4 Gen 2 processor, and a dual-camera setup for Rs 19,499.
Upcoming Samsung products like Galaxy Z Fold6, Z Flip6, Galaxy Watch7, Watch Ultra, and Galaxy Buds3 Pro were leaked through press renders. The Galaxy Z Fold6 will feature a more squared-off design and a triple rear-camera setup. The Galaxy Z Flip6 will retain a similar design to the Flip5. The Galaxy Watch Ultra will have a squarish design with three buttons, including a rotating crown. The standard Galaxy Watch7 will come in new color options like olive green, silver, and gold. The Galaxy Buds3 and Buds3 Pro will have an updated stemmed design, with the Pro model providing better noise isolation and a transparent case lid.
Apple will release the second beta of iOS 18 on June 24, 2024, introducing two new features: iPhone Mirroring and enhanced SharePlay screen sharing. iPhone Mirroring allows users to display their iPhone screen on a Mac computer and facilitates file transfer between the two devices. Enhanced SharePlay lets users draw on someone else's screen during video calls and control the other person's screen for task assistance. The new beta aims to fix bugs from the initial release but does not yet include the AI-powered Apple Intelligence features.
An investigation has uncovered discriminatory hiring practices at Foxconn's largest iPhone factory in India, located in Sriperumbudur near Chennai. It revealed that married women were systematically excluded from assembly line jobs. Former Foxconn HR executive S. Paul stated the company viewed married women as riskier hires due to potential post-marriage issues like having babies. This pattern of discrimination was identified through dozens of interviews with job seekers, examination of job advertisements, and WhatsApp discussions, where third-party recruiters explicitly stated only unmarried women were eligible for assembly jobs.
The discriminatory practices against married women at Foxconn are counter to the Indian government's efforts to increase female labor force participation. While Indian law doesn't explicitly prohibit discrimination based on marital status in the private sector, legal experts argue such practices could be challenged in court for interfering with an individual's right to freedom of trade and occupation. Prime Minister Narendra Modi emphasized the need to remove barriers restricting women's access to markets and employment opportunities. Lawyer Suhasini Rao suggested that these practices might be struck down by courts if challenged.
In response to these findings, Apple stated it maintains high supply chain standards and took immediate action in 2022 when concerns about hiring practices were raised. This included monthly audits to ensure issues were addressed. Foxconn claimed to have enhanced its management process for hiring agencies in 2022 and refuted allegations of discrimination based on marital status, gender, or religion. Despite these claims, the investigation found that discriminatory practices continued into 2023 and 2024. Apple and Foxconn indicated that some married women were employed at the plant, and Foxconn had taken corrective actions against agencies posting discriminatory ads.
Deep Learning Super Sampling (DLSS) is a real-time deep learning image enhancement and upscaling technology developed by Nvidia. It is exclusive to Nvidia's RTX line of graphics cards and is already available in multiple video games. DLSS leverages the power of Tensor Cores on RTX GPUs to generate game assets like textures and objects directly using artificial intelligence (AI). This technology aims to enhance in-game graphics and improve overall gameplay performance by freeing up traditional shader (CUDA) cores.
Nvidia plans to use AI to generate textures and objects within video games through DLSS. According to Nvidia CEO Jensen Huang, gamers will see generated textures and objects created via AI, enhancing visual fidelity without demanding additional video memory (VRAM). Nvidia is developing a texture compression technology utilizing AI neural networks, promising a 16x compression ratio compared to traditional 8x methods. This means better quality in-game textures with efficient memory usage, offering a smoother gameplay experience.
The integration of AI-generated elements through DLSS will significantly impact in-game performance and player experience. By generating textures, objects, and even non-playing characters (NPCs) via AI, Nvidia aims to provide enhanced visual details and smoother gameplay. This technology not only improves frame rates but also ensures high-quality graphics, even on systems with limited VRAM. Additionally, Nvidia’s approach allows for generating new frames between existing ones, which goes beyond traditional interpolation methods, thus enhancing overall game immersion.
The report underscores the transformative impact of AI technologies across various sectors, exemplified by Google’s Gemini App and Meta’s AI assistant, which are setting new standards for digital interactions. Nvidia’s ongoing advancements in gaming AI, particularly with DLSS, and the competition from proprietary AI chips by companies like Google, Microsoft, Amazon, and Meta, highlight a rapidly evolving technological landscape. Samsung’s sustainability commitments serve as a benchmark for environmental responsibility in the industry. The analysis of market trends through the launch of devices like the iPhone 14 reflects an adaptive response to consumer demands. Meanwhile, the investigation into hiring practices at Foxconn’s India plant brings attention to crucial ethical issues, signaling the need for continuous scrutiny and improvement in global supply chains. Moving forward, advancements in AI and sustainability, alongside addressing ethical considerations, will likely shape the future trajectory of these industries, offering both challenges and opportunities.
Google's AI assistant available in multiple Indian languages. It offers features like typing, talking, or image recognition, and is integrated within Android and Google Assistant.
Meta’s generative AI-enabled assistant integrated into platforms like Facebook, Messenger, WhatsApp, and Instagram. It assists users in various scenarios and rivals OpenAI’s ChatGPT.
AI processors developed by companies like Google, Microsoft, Amazon, and Meta to reduce dependency on Nvidia’s AI chips. Examples include Google’s TPUs, Microsoft’s Azure Maia, and AWS’s Trainium.
Samsung’s efforts to incorporate recycled materials, eliminate plastic packaging, and achieve zero waste. Initiatives aim to reach 100% renewable energy by 2027 and extend product lifecycles.
Apple’s latest iPhone with features such as the A15 Bionic SoC, Ceramic Shield material, and IP68 rating. Available at a significant discount on Amazon, with additional savings options.
Investigation into discriminatory hiring practices at Foxconn’s India plant, particularly against married women, leading to potential legal challenges and corrective actions taken by Foxconn.
Nvidia’s AI technology used to generate in-game textures, objects, and NPCs, enhancing gaming visuals and performance through Tensor Cores, with future prospects of AI-generated gaming experiences.