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Droid-Life
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Complete Pixel 9a Spec Sheet Details Solid $499 Option
- The Pixel 9a is reported to have a Tensor G4 processor, 5,100mAh battery, and a 6.2-inch Actua FHD+ display.
- Storage options include 128GB and 256GB, with 8GB of RAM. The device is expected to have a good camera.
- The price for the Pixel 9a is finalized at $499 and it will be available in four colors: Obsidian, Porcelain, Iris, and Peony.
- No surprises or disappointments reported for the Pixel 9a in terms of specs and pricing.
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Analyticsindiamag
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Image Credit: Analyticsindiamag
Google Crashes Copilot Vision, Computer Use Party with Mariner
- Google has announced Project Mariner, a research prototype that understands and reasons based on web browser navigation.
- The agent uses a Google Chrome extension to read and interact with websites, completing tasks on the user's behalf.
- Project Mariner demonstrated its capabilities by finding a painting and adding items to an Etsy cart.
- Google's Project Mariner competes with Microsoft's Copilot Vision and Anthropic's Computer Use.
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Digitaltrends
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Image Credit: Digitaltrends
Google teases smart glasses with amazing Project Astra update
- Google has been improving Project Astra, an AI bot that understands the world around you.
- Project Astra now has improved language understanding and conversational abilities.
- It can remember things in conversation and has reduced latency.
- Google has teased a pair of smart glasses that will work with Project Astra and Gemini 2.0.
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BGR
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Image Credit: BGR
Google is hinting that its AI-powered smart glasses are coming soon
- Google hints that its AI-powered smart glasses may be coming soon.
- Project Astra, Google's universal AI assistant, is being tested on prototype glasses as part of the Trusted Tester program.
- Gemini 2.0, the upgrade to Project Astra, brings improvements in dialogue, tool use, memory, and latency.
- Google aims to bring these capabilities to Google products like the Gemini app and other form factors like glasses.
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Digitaltrends
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Image Credit: Digitaltrends
Your Google Maps app is about to look different. Here’s what’s changing
- The Google Maps app for Android devices is receiving a small design update.
- The app is adopting a new interface color scheme, changing the blue accents to a dark teal.
- Text labels within the app will change from blue to black, improving readability.
- The update follows previous changes to map feature colors and overall interface earlier this year.
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Cloudblog
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Image Credit: Cloudblog
Unwrap 12 days of training to learn generative AI this December
- Google Cloud is offering 12 Days of Learning, a digital advent calendar for generative AI
- Access courses, labs, videos, and community opportunities to enhance generative AI expertise
- Join the Innovators community for 35 monthly learning credits in Google Cloud Skills Boost
- Sign up for AI Skills Quest to gain verifiable skill badges in generative AI
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Insider
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Image Credit: Insider
Google launches Gemini 2.0, its latest AI model that can 'think multiple steps ahead'
- Google has launched its next-generation AI model, Gemini 2.0, which offers agentic AI capabilities and improves multi-step problem-solving.
- Gemini 2.0 is understood as an ability for AI to act autonomously and solve complex problems with limited human input.
- The new capabilities include a 'Deep Research' feature that helps Gemini scour the web for information, preparing it for an easy-to-read report accessible to Gemini Advance subscribers.
- Google plans to incorporate Gemini 2.0 into its AI Overviews feature in Search, enabling more complex searches which include multi-step questions and multimodal queries that employ text and images.
- Google also teased other new announcements such as Project Astra, which uses Gemini 2.0 while drawing on Google's most popular services like Maps, Lens, and Search.
- Project Mariner was also teased, with its capability of letting AI control a browser to search the web for information by recognising pixels, images, text, and code on a web page.
- Google's CEO Sundar Pichai stated that the company has been investing in developing more agentic models which seek to understand the world around an individual, think multiple steps ahead, and then take action on their behalf with their supervision.
- Gemini 2.0 Flash, a model designed for high-volume tasks at speed will make Gemini faster, smarter, and more capable at reasoning.
- Google plans to roll out Astra as an incremental update via its apps over time, following a limited number of early-testing for the second-generation AI assistant.
- Early testers are required for Project Mariner, a tool which uses AI to take control of a browser and scour the web for valuable information.
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TechCrunch
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Image Credit: TechCrunch
Gemini 2.0, Google’s newest flagship AI, can generate text, images, and speech
- Google has announced Gemini 2.0 Flash, its latest flagship AI model.
- Gemini 2.0 Flash can generate text, images, and speech natively.
- It can tap into third-party apps and services, including Google Search.
- An experimental release is available, with wider rollout planned for January.
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TechCrunch
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Image Credit: TechCrunch
Google unveils Project Mariner: AI agents to use the web for you
- Google's first-ever AI agent, Project Mariner has been unveiled and allows the AI to take actions on the web similar to a human.
- Project Mariner is Gemini-powered and can control your Chrome browser, click buttons, fill out forms, and navigate websites as if it were a human.
- Google has released its AI agent to a small group of pre-selected testers, as it continues to try new ways for Gemini to read, summarise and use websites
- Google Director Jaclyn Konzelmann gave TechCrunch a demonstration and showed users how the AI agent can be instructed.
- Project Mariner is not designed to fill out credit card numbers or billing information but can be used to find flights and hotels, shop for household items, find recipes, and for other tasks.
- Google's agent only works on a Chrome browser’s foremost active tab, which means users can't use their computer for other tasks while the agent works.
- Google says that publishers and retailers still get your eyeballs on their pages as Project Mariner works on a user's computer screen, but users may become less engaged with websites they visit.
- When asked, Alphabet's CTO Kavukcuoglu explained the decision saying, 'it’s important to take this step-by-step.'
- Besides Project Mariner, Google unveiled several other AI agents for more specific tasks, including Deep Research and Jules.
- Finally, Google DeepMind says it is working on an AI agent to help users navigate video games.
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TechCrunch
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Image Credit: TechCrunch
Google Gemini can now do more in-depth research
- Google is upgrading Gemini, its chatbot platform, with the ability to "reason" through a research problem and compile a comprehensive report.
- The updated Gemini offers a feature called "Deep Research" that uses advanced reasoning and long context capabilities to generate research briefs.
- Deep Research can analyze information relevant to a query, organize summaries with links to source material, and generate a report of key findings.
- Gemini also introduces Gemini 2.0 Flash, an experimental version of Google's flagship AI model that offers better performance and faster responses.
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Cloudblog
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Image Credit: Cloudblog
Announcing the general availability of Trillium, our sixth-generation TPU
- Google has announced that Trillium is now generally available for Google Cloud customers. It has been designed to take on the infrastructural challenge presented by large-scale AI models capable of processing diverse modalities such as text and images. Trillium TPU, which is a key component of Google Cloud's AI Hypercomputer, provides powerful, efficient and sustainable infrastructure and has double the High Bandwidth Memory capacity of the previous-generation Cloud TPU v5e.
- Trillium TPU provides users with 4x improvement in training performance, up to 3x increase in inference throughput, a 67% increase in energy efficiency, and a 4.7x increase in peak compute performance per chip. It offers up to 2.5x improvement in training performance per dollar and up to 1.4x improvement in inference performance per dollar.
- This new hardware is capable of scaling a single distributed training job to hundreds of thousands of accelerators. Trillium TPUs exhibit significantly better scaling efficiency, enabling the training of dense language and multimodal models, such as Gemini 2.0, Google's new AI model.
- In addition to the Trillium's absolute performance and scale, it is also designed to optimize performance per dollar, making it a cost-effective choice for businesses. Trillium provides enterprises and startups alike with the same powerful, efficient, and sustainable infrastructure.
- With the addition of third-generation SparseCore, Trillium delivers a 2x improvement in the performance of embedding-intensive models and a 5x improvement in DLRM DCNv2 performance compared to the previous-generation Cloud TPU v5e.
- Trillium's exceptional price-performance makes it a cost-effective choice for organizations seeking to maximize the value of their AI investments. It empowers researchers and developers to serve robust and efficient image models at significantly lower cost than before.
- Trillium TPUs are capable of accelerating the training of massive language models including dense and Mixture of Experts (MoE) models. They also offer significant advancements for inference workloads, enabling faster and more efficient deployment of AI models than ever before.
- The release of Trillium TPUs for Google Cloud customers marks a significant leap forward in Google Cloud’s AI infrastructure, delivering incredible performance, scalability, and efficiency for a wide range of AI workloads.
- The AI Hypercomputer enables you to extract maximum value from an unprecedented deployment of over 100,000 Trillium chips per Jupiter network fabric with 13 Petabits/sec of bisectional bandwidth, capable of scaling to hundreds of thousands of chips using world-class co-designed software.
- Trillium stands as a testament to Google Cloud's commitment to providing cutting-edge infrastructure that empowers businesses to unlock the full potential of AI.
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VentureBeat
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Google’s new Trillium AI chip delivers 4x speed and powers Gemini 2.0
- Google has unveiled its sixth-generation artificial intelligence accelerator chip called Trillium.
- The chip delivers four times the training performance and uses significantly less energy compared to its predecessor.
- Google has connected over 100,000 Trillium chips to create one of the world's most powerful AI supercomputers.
- Trillium provides up to a 2.5x improvement in training performance per dollar compared to the previous generation, potentially reshaping the economics of AI development.
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VentureBeat
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Image Credit: VentureBeat
Google unveils AI coding assistant ‘Jules,’ promising autonomous bug fixes and faster development cycles
- Google has unveiled an AI coding assistant called Jules.
- Jules can autonomously fix software bugs and prepare code changes.
- It integrates with GitHub, analyzes codebases, and creates pull requests.
- Jules aims to enhance development cycles and reduce costs.
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Analyticsindiamag
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Image Credit: Analyticsindiamag
Amazon Smbhav Commits $120 Mn to Boost Indian Manufacturing, AI Startups
- Amazon India's Smbhav Venture Fund will invest $120 million to support Indian manufacturing and AI startups.
- The investment aligns with the government's goal of establishing India as a global manufacturing hub.
- The Smbhav Venture Fund focuses on digitizing consumer goods manufacturing for domestic and global markets.
- Amazon aims to digitize 10 million small businesses, generate 2 million jobs, and achieve $20 billion in e-commerce exports by 2025.
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