At Google I/O Connect India, Google showcased the future of 100% private, on-device AI powered by the custom Tensor SoC and TPU for the new Pixel 10 family. The event debuted the lightweight Gemma 4 E2B model, which runs natively on the device to enable completely offline multimodal features like AI chat, real-time image recognition, and personal agent tasks. Developers can start building these secure, edge-based applications today by accessing the newly announced Tensor SDK beta and its accompanying open-source resources.
To serve the 397B-parameter Qwen 3.5 Mixture-of-Experts (MoE) model on Ironwood TPUs, engineers developed a modular JAX/Pallas optimization stack that achieved up to a 4.7x inference speedup for prefill-heavy workloads. The team bypassed severe hardware sharding constraints by deploying a hybrid Data Parallelism and Expert Parallelism (DP+EP) topology, paired with custom low-level communication fusions like a hierarchical reduce-scatter to optimize cross-device token routing. Finally, by executing hardware-aware custom kernels—such as Batched Ragged Page Attention and a fully-fused Gated DeltaNet (GDN) block—they successfully saturated HBM bandwidth and TensorCore MXUs to push system throughput near its theoretical roofline limits.
Users can now edit and revise their email drafts in Gmail via the prompt bar, using custom refine instructions in Help me write. Previously the refines were limited to preset options like Polish, Formalize, and Shorten. Now if your first draft isn’t quite perfect, you can provide a precise follow-up prompt in your own words to further refine it, and even undo or redo any edits you make.
Whether you need to add a missing detail to the second line or include a deadline for your request, simply type the instruction and Gmail will instantly update the draft for you.
Maintaining an enterprise-grade video conferencing environment requires visibility into the health of its devices. We're introducing new ways to see Google Meet hardware user-reported feedback directly in the Admin console.
We’ve also updated user-side feedback options to replace generic reporting with structured actionable feedback making it easier and more intuitive for room participants to report problems.
Redesigned user interface
The new feedback menu on Google Meet hardware now features responses that are tailored to the reporting context (In-Call, Out of Call, Live stream). These new feedback options collect better details, making it easier for admins to understand and troubleshoot the issue.
In-Call Feedback: Users are presented with call specific options to report a problem , like “Can’t see others” or “Poor audio or video quality.”
Out-of-Call Feedback: When filing feedback from the touchscreen landing page, users now see a new set of join-related problems, including “Can’t join Meet call” and “Can’t join Teams call.”
Livestream Feedback: Users viewing large-scale livestreams will see dedicated options to report a problem.
Admin console improvements
The Google Meet hardware section of the Admin console now features enhanced monitoring tools. Feedback is no longer proxied as a background telemetry event; it is now a primary, sortable “device information” column within the device list.
Enhancements include two new columns on the device list page, including:
Last feedback submitted - A sortable column displaying the exact timestamp of a device’s most recent report, which can be filtered by 1, 3, 7, or 30 days. Clicking the timestamp opens a side panel containing specific feedback details.
Feedback in the last 28 days - A cumulative count of reports filed for a specific device over a rolling 28-day period, allowing for the identification of recurring faulty devices.
The Google Meet hardware device list featuring new “Last feedback” and “Feedback in last 28 days” columns
Admins can get more information about a specific “Last feedback” by clicking on the date, a side panel will open providing the specific feedback details:
The feedback side panel on the Admin console now shows the new set of problems customers have reported
In addition, we’re introducing a new "With feedback in last 7 days" filter, which instantly prioritizes devices with recent reports and repositions the feedback columns to sit next to the device name for immediate visibility.
A new filter to glance at devices with feedback filed in the last 7 days.
Getting started
Admins: Ensure the “Let users send feedback to Google” checkbox is selected in GMH Settings > Data Sharing > Feedback is ON at the domain or organizational unit (OU) where the device is enrolled. Visit the Help Center to learn more.
End users: Users can report feedback during or after a call or livestream via the “Report a problem” button. Visit the Help Center to learn more.
Posted by Amman Asfaw, Product Manager, Android Studio
Android Studio Quail 2 is now stable and ready for you to use in production, bringing a shift to your IDE with concurrent agentic workflows, natively integrated memory leak profiling, and context-aware crash remediation. Whether you are performing a sweeping architectural overhaul, tracing a memory leak, or resolving a critical production crash, Android Studio keeps you anchored in your workspace by reducing manual friction.
Here’s a deep dive into what’s new:
Multi-tasking with parallel chats
In Android Studio Quail 2, we've been hard at work redesigning Agent Mode from the ground up. This new architecture provides better performance, offers more flexibility for decomposing complex tasks, and improves the suite of internal tools the agent uses to do its work.
In addition to these behind-the-scenes improvements, these changes also allow you to converse across multiple agent chats simultaneously. Waiting for the Android Studio agent to finish a task before you can ask another question or initiate a separate task in Agent Mode is a bottleneck of the past. You can multi-task seamlessly: kick off a UI refactor in one tab, fix a ProGuard rule in a second, and generate documentation in a third.
You can also change which models the agent uses from chat to chat based on the requests you have. Take a look at Android Bench for an analysis of how LLMs perform Android development tasks.
How to use: Click the "+" icon to start a new parallel conversation, and use the History icon to navigate between active tasks. Alternatively, select File > New > New Agent Tab to open a conversation in a dedicated tab.
Note: Worktree support is currently unavailable. Exercise caution when running concurrent chats that modify the same project files, which can potentially lead to editor conflicts.
Run multiple agent tasks in parallel with different models of your choice.
Use the History icon to navigate between active tasks.
Memory leak detection with LeakCanary
Memory leaks in Android occur when your code holds onto an object's reference long after its life cycle has ended. This prevents the Garbage Collector from reclaiming that memory, eventually leading to sluggish performance or OutOfMemoryError.
Hunting down memory leaks can be a tedious, manual task. Starting with Android Studio Quail 2, the popular open-source leak detector LeakCanary is natively integrated directly into the Profiler as a dedicated, first-class task.
This integration transforms your debugging performance by lifting and shifting the heap analysis off your resource-constrained testing phone, and onto your powerful development computer. By running the analysis on your computer, leak tracing is up to five times faster and jank-free, leaving your test app running smoothly on the device.
Once a leak is detected during a profiling session:
The Profiler renders an interactive, color-coded leak trace, grouping occurrences and estimating lost memory.
You can click Go to declaration on any leaking object in the trace to instantly jump to that exact line of code in your editor.
You can click Fix with Agent to have the Gemini agent ingest the trace, explain the root cause of the retained reference, and write the exact code change (such as unbinding a listener or clearing a static reference) to plug the leak.
Review memory leaks identified via LeakCanary through the Fix with Agent button.
App Quality Insights agent integration
Tracking down the root cause of an app crash can require manually synthesizing stack traces, device data, and source code. However Android Studio’s App Quality Insights (AQI) is now fully integrated with Agent Mode to do the heavy lifting for you.
When you click on a crash in the AQI panel, you immediately get a concise, high-level summary of the issue. If you need to dig deeper, simply click See more. This opens a dedicated chat where the agent uses your selected model and pulls in local source code and the full stack trace to deliver a comprehensive explanation of the failure.
With the new agent integration, you move directly from issue identification to resolution. By clicking Fix with AI, the agent will analyze the issue, propose a step-by-step fix plan, and—upon your approval—apply the necessary code changes directly to your project and verify the resulting fix
The Fix with AI button triggering the agent to analyze the issue, then propose the fix
Quality & stability improvements
Beyond new features, we’ve continued our focus on quality by addressing numerous bugs and incorporating the latest stability and performance improvements from the IntelliJ platform, making this a significant enhancement for your daily development.
Get Started
Ready to dive in and accelerate your development? Download Android Studio Quail 2 and start exploring these new features today! As always, your feedback is crucial to us. Check known issues, report bugs, and be part of our vibrant community on LinkedIn, Medium, YouTube, or X.
From July 13 to August 2, sign up for Pixel Care+ to get accidental damage coverage and $0 battery and screen repairs.
The Metropolitan Museum of Art unveils two new generative AI initiatives with Google Arts & Culture.
Google Images is turning 25. Here’s a look back at some major milestones — and new ways to explore and create visual content.
See how Google DeepMind AI technology reconstructed Pelé’s legendary 1959 lost goal at Rua Javari in our new mini-documentary.
