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Droid-Life
1w
170
Image Credit: Droid-Life
Mint Mobile Cuts $400 Off Pixel 9 Pro, Gives You Unlimited for 12 Months at 50% Off
- Mint Mobile is offering a deal where customers can get $400 off the Pixel 9 Pro.
- To avail the discount, customers need to sign up for Mint Mobile's Unlimited plan for a year, which is currently 50% off.
- The Pixel 9 Pro will cost $599 with the discount, and the Unlimited plan will cost $180 for the year.
- Mint Mobile is a prepaid carrier that uses T-Mobile's network and offers unlimited talk, text, and data with additional benefits.
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Pymnts
1w
110
Image Credit: Pymnts
AI Shopping Bots Race to Fill Online Carts
- Tech companies are developing artificial intelligence (AI) agents that can shop online independently.
- These AI shopping agents can browse online stores, make purchases, and use digital credit cards.
- Companies like Perplexity, Amazon, Google, and HotelPlanner are actively working on AI shopping agents.
- However, security and payment automation remain significant challenges for AI shopping agents.
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6 Likes
Digitaltrends
1w
115
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Your Google News app is getting a subtle redesign. Here’s what’s changing
- Google News app on Android is receiving a subtle redesign.
- The redesigned version combines 'For you' and 'Headlines' into a new Home tab.
- A new categories carousel is added for easy access to different news categories.
- The Google News redesign is rolling out on Android, but not yet available for iOS users.
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Tricky Enough
1w
366
Google Gemini: Everything You Should Know About the Generative AI Models
- Google Gemini is a series of generative AI models created by Google, using advanced machine learning techniques for a variety of applications.
- Gemini can generate text, images and music, making it more adaptable than other generative AI models such as OpenAI's GPT.
- Applications of Gemini include content creation, image and art generation, code generation, and virtual support and customer service.
- Benefits of Gemini include increased efficiency, improved creativity, and cost-effectiveness.
- However, concerns about ethics and dependence on data remain as challenges for the tool.
- Additionally, Gemini's potential capabilities include improved multi-modal content production, enhanced natural language understanding, and greater creative output.
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Androidauthority
1w
213
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YouTube TV is raising prices, but you may be able to avoid the increase for a while
- YouTube TV is raising its prices from $72.99/month to $82.99/month in January 2022.
- To retain customers, YouTube TV is offering a six-month price lock to some subscribers.
- Not all subscribers are eligible for the price lock.
- The service launched in 2017 at a price of only $35/month.
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12 Likes
Droid-Life
1w
324
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December Pixel Update Expands to Pixel Fold, Pixel 7 on T-Mobile
- Google has released the December updates for Pixel 9 and Pixel 8 series devices on T-Mobile.
- The update is now also available for Pixel 7 series and original Pixel Fold on T-Mobile.
- The update includes a big QPR1 update and Pixel Feature Drop with 20 notable items.
- Users can manually flash the update or wait for over-the-air rollout.
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19 Likes
Analyticsindiamag
1w
247
Image Credit: Analyticsindiamag
After Gemini 2.0, Google Cooks with NotebookLM
- After the launch of Google Gemini 2.0, Google is introducing new features to NotebookLM.
- NotebookLM 2.0 includes a redesigned interface, interactive audio features, and a premium subscription called NotebookLM Plus.
- Users can now interact directly with audio hosts through the Interactive Audio Overview feature.
- The premium plan, NotebookLM Plus, offers higher usage limits, custom responses, team notebooks, and better security.
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14 Likes
BGR
1w
110
Image Credit: BGR
Google smart glasses with Gemini AI hands-on: Google Glass done right
- Google showcased its Gemini AI smart glasses at the Project Astra demo during the Gemini 2.0 announcement.
- The smart glasses, powered by Gemini AI, offer an impressive AR experience.
- Google didn't reveal the name or release date of the smart glasses.
- The Gemini AI wearable seems to deliver the Google Glass experience that was lacking in the past.
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6 Likes
Insider
1w
166
Image Credit: Insider
Anyone can give Donald Trump $1 million. The pros do it in public.
- Tech moguls like Mark Zuckerberg, Jeff Bezos, and Sam Altman are donating $1 million to Donald Trump's inauguration fund.
- The public nature of these donations is what makes them newsworthy.
- While these donations are not unusual for presidential inaugurations, tech leaders are using them as a way to publicly align with Trump.
- They hope that by publicly supporting Trump, they can achieve favorable outcomes privately.
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10 Likes
Androidauthority
1w
205
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NotebookLM’s virtual podcast hosts can now take your calls
- NotebookLM is getting upgrades for Gemini 2.0.
- Users can now interrupt virtual podcast hosts and ask questions.
- Google introduces a new interface for NotebookLM.
- A Plus version with higher usage limits is also introduced.
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12 Likes
Droid-Life
1w
51
Image Credit: Droid-Life
Google Home Devices Get First Taste of Gemini in Place of Assistant
- Google is testing Gemini on select Google Home devices as a replacement for Google Assistant.
- Users owning Nest Audio or Nest Mini (2nd Gen) devices can enroll in Google Home Public Preview to switch to Gemini.
- Enabling Gemini on these devices brings smarter responses, more natural sounding voices, and additional smarts.
- Google recommends using Gemini on Nest Audio for improved learning, follow-up questions, and interrupting responses.
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3 Likes
TechCrunch
1w
17
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Google’s NotebookLM now lets you talk to its AI podcast hosts
- Google's NotebookLM app now allows users to interact with its AI podcast hosts.
- The Audio Overviews feature generates AI virtual hosts based on user-provided information.
- Users can talk to the AI hosts, ask for more details, or have concepts explained differently.
- NotebookLM is also getting a redesign and a premium version for enterprises called 'NotebookLM Plus.'
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VentureBeat
1w
153
Image Credit: VentureBeat
NotebookLM updates Business to Plus with more audio, lets all users interact with AI hosts
- Google has expanded access to NotebookLM's business version, now called NotebookLM Plus, targeting enterprises, teams, and individuals.
- The updated Audio Overview feature allows users to interact with AI hosts and ask questions out loud.
- NotebookLM Plus offers five times more Audio Overviews, notebooks, and sources per notebook, along with customization options and usage analytics.
- The redesigned NotebookLM introduces three panels for managing content, accessing data sources, and creating study guides and Audio Overviews.
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9 Likes
Cloudblog
1w
230
Image Credit: Cloudblog
Tailor your search engine with AI-powered hybrid search in Spanner
- Google's Spanner database is capable of hybrid search with vector search, full-text search, and machine learning (ML) model reranking capabilities using a familiar SQL interface. Spanner's AI-powered hybrid search capabilities tackle user expectations of fast, accurate, and contextually relevant results. Applications using Spanner can build a tailored search engine using vector search for semantic relevance and full-text search for precise keyword matching. Result fusion and ML model reranking allows for advanced result refinement.
- Developers can build an intelligent search pipeline, enabling organizations to deliver effective search experiences that deliver much more than just a traditional single search method, even for industries such as e-commerce that need more functionality to satisfy users.
- Spanner's integration with Google's Vertex AI makes it possible to perform ML model-based reranking directly within Spanner without the need for multiple technical stacks, complex ETL pipelines, and intricate application logic. Results are refined after initial retrieval by using the advanced (and computationally expensive) model on the narrowed set of initial candidates.
- RRF (Reciprocal Rank Fusion) is a highly effective technique that is implemented with Spanner SQL interface, resulting in other developers exploring and implementing various RRF methods. The search experience can be further tailored to specific application requirements by normalizing scores across different searches to a common range and then combining them using a weighted sum. It is ideal for fine-grained control over search experiences.
- Spanner's versatile SQL interface empowers application developers to explore and implement diverse result fusion methods. It reduces architectural and operational overhead, eliminates the need for complex ETL pipelines and avoids performance inefficiencies.
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13 Likes
Cloudblog
1w
110
Image Credit: Cloudblog
Orchestrating GPU-based distributed training workloads on AI Hypercomputer
- Google Cloud offers AI Hypercomputer with advanced orchestration tools to simplify distributed large-scale training using GPU accelerators.
- Select the right GPU accelerator family, like the versatile G2 machine family, which provides flexibility for inference and testing workloads.
- Google Cloud provides multiple GPU consumption models like Committed Use Discounts (CUDs), Dynamic Workload Scheduler (DWS), On-demand consumption, and Spot VMs to meet the needs of large-scale training.
- Google Kubernetes Engine (GKE), Cluster Toolkit, and Vertex AI custom training pipeline are powerful orchestration strategies on Google Cloud.
- GKE is a good choice for enterprises with unified workload management, providing a flexible and scalable platform to handle diverse workloads on a single platform.
- Cluster Toolkit simplifies the process of deploying HPC, AI, and ML workloads on Google Cloud and provides support for Slurm, one of the most popular HPC job schedulers.
- Vertex AI's fully managed solution removes most of the orchestration burden and provides end-to-end ML platform operations, allowing you to focus on model development and experimentation.
- Google Compute Engine lets you create and configure virtual machines (VMs) with your desired specifications, including the type and number of GPUs, CPU, memory, and storage, providing granular control to optimize infrastructure for specific training workloads.
- For DIY enthusiasts, Google provides example code snippets demonstrating how to use the gcloud compute instance create and gcloud compute instance bulk create API calls to create and manage your vanilla A3 Mega instances.
- With the right orchestration strategy and Google Cloud's robust and leading AI infrastructure, you can achieve your training goals and transform your business objectives into reality.
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