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5 Join the conversation Follow us Add us as a preferred source on Google A Russian Molniya drone carrying an Nvidia Jetson Orin module crashed and killed three civilians at a gas station in Zaporizhzhia last month after…

Describe it.We build it.Customers find it. Anthropic/OpenAI/Gemini/DeepSeek/Pick your model per run/ Anthropic/OpenAI/Gemini/DeepSeek/Pick your model per run/ The pipeline You bring the intent. Agents do the rest, inclu…

Key takeaways Gemini is StudyArena's current pick for college essays, with a 39.6% blind writing choice rate ahead of Claude at 31.8% and ChatGPT or OpenAI at 29.2%. Use Gemini as an editor, not a ghostwriter. Ask it to…

0 Join the conversation Follow us Add us as a preferred source on Google Earlier this month, Samsung introduced the industry's first LPDDR5X-PIM memory, adding in-memory logic to the low-power memory standard, and at Ho…

Google LLC won a bankruptcy auction for a trove of deindentified business data, software code, and operations records from collapsed low-cost carrier Spirit Aviation Holdings Inc., saying it plans to use the assets to i…

The new platforms show how the vendor is moving toward more vertical use of AI agents, but also how far behind it is.

AI & Machine Learning Now introducing Gemini Enterprise for Legal August 26, 2026 Thomas Kurian CEO, Google Cloud Few professions are as exacting as the practice of law. A team reviewing a contract or building a case wo…

Human-Computer Interaction and Visualization

Learn how to use Google Search tools to find home decor inspiration, shop for furniture, and tackle DIY projects.

I had seven years' worth of points I didn't know about, and now I have a Starbucks card to show for them.

FydeOS aims to bring a Google Chromebook-like experience to standard PCs, and it succeeds - with a caveat or two.

Brian's Job Search 🥇 Discover your next job with Brian's Job Search. Optimized for Google, this is a user-friendly and efficient way to explore a wide range of career opportunities. Start your journey towards a fulfill…

Aug 20, 2026 iAuthFlow v2 Enrolls Google Passkeys That Survive Password Resets Learn how iAuthFlow v2 turns a phished Google session into persistent access by enrolling an attacker-controlled passkey. Callie Baron Piotr…

3 Join the conversation Follow us Add us as a preferred source on Google This Tom's Hardware Premium article is free to read with a Tom's Hardware account; no payment necessary. We're offering free access from August 23…

As people grow used to AI chatbots, we’d like to hear your views about Google’s search engine Google has put artificial intelligence at the front and center of its search bar. The most-visited site on the internet still shows the same list of links to users, but they have to scroll past a summarized response from an AI chatbot, a feature Google calls AI Overviews. The change to what was once the gateway to the rest of the internet has been profound, and the browsing habits of billions of people are shifting. “AI is driving the most significant upgrade of the Google Search experience ever,” Liz Reid, Google’s vice-president of search, wrote last August. In May, the company said more AI is coming. Continue reading...

CookWing: AI Recipe Chef - Apps on Google Play CookWing: AI Recipe Chef RedWing Inc. In-app purchases Everyone info 1+ Downloads Everyone Learn more Ever followed an AI-generated recipe exactly, only to wonder halfway t…

The AI Discovery Gap - Google Docs Tab Share

framework that folds aggregate human movement into text-based place embeddings. Language models describe what a place is; they miss how it is used. ME-POIs encodes each visit as a contextualized vector and aligns it with one learnable prototype per POI through contrastive learning, then transfers visit distributions from data-rich anchors to the long tail across three spatial scales. Across five map-enrichment tasks on Los Angeles and Houston mobility data, adding ME-POIs improved 34 of 35 model-task pairings in Los Angeles — up to 81.9% relative F1 on visit intent and a 24.7% MAE reduction on busyness. A mobility-only variant beat Gemini text embeddings on price-level classification. The post Google Research Introduces ME-POIs: A Mobility-Informed Framework that Adds “How a Place Is Used” to Text-Based POI Embeddings appeared first on MarkTechPost.

It won't be another high-end Chromebook like the Pixel, and Google has to hope it'll succeed where Copilot+ PCs have fallen short.

arXiv:2608.20492v1 Announce Type: new Abstract: Multimodal large language models (MLLMs) have become a prevailing paradigm for unified video perception. However, post-training on large multi-task datasets remains challenging, as existing reinforcement learning methods sample on-policy groups with few high-quality rollouts even with costly chain-of-thought (CoT) generation. In this paper, we study the sample efficiency and scalability of RL post-training for video MLLMs and introduce OraRL. We identify an overlooked role for annotations: Beyond scoring rollouts, each can enter its on-policy group as an oracle rollout, a direct positive optimization target. Direct oracle integration, however, is nontrivial: a high-reward oracle raises the group baseline and inverts otherwise positive policy advantages, a failure we term advantage inversion. At the core of OraRL is a decoupled advantage estimator: policy rollouts determine an oracle-free baseline, while the oracle-policy gap modulates both a directional gain and a separate detached oracle advantage. Sign-balanced pruning improves efficiency: by retaining only the oracle and the strongest rollouts of each sign, OraRL requires just 2.2x the step time of SFT, less than half the 4.9x required by GRPO with CoT. OraRL scales with model size and data, surpassing its backbone from 0.8B to 9B and GRPO up to 100k prompts. Without chain-of-thought, Video-ORA-9B decodes in 130 ms instead of 4,780 ms. Compared with the respective prior best models, it raises temporal mIoU from 62.5 to 66.0, tracking AO from 73.0 to 78.2, segmentation from 64.3 to 70.4, and the three-benchmark spatial-intelligence macro average from 51.0 to 56.1; on VSI-Bench, it scores 73.1 against 55.0 for GPT-5 and 55.1 for Gemini-3-Pro.

If you're not happy with the algorithm on your Discover page, you'll love this new feature.

SignalWatch: Crypto Tracker - Apps on Google Play SignalWatch: Crypto Tracker BuildWithMe Everyone info 1+ Downloads Everyone In-App Purchases Learn more SignalWatch is a fast, free crypto price tracker and market analy…

36 Join the conversation Follow us Add us as a preferred source on Google A new Amazon data center is set to become the single largest source of environmental pollution in the U.S., according to a New York Times report…

Walmart was one of the last big retailers to not accept tap-to-pay. Now what happens to Walmart Pay?

Generative AI

Algorithms & Theory

arXiv:2608.19201v1 Announce Type: new Abstract: Bioinformatics software and databases are essential components of modern life science research, yet their mentions in the scientific literature are often inconsistent and difficult to systematically identify at scale. The lack of a comprehensive and up-to-date catalog of bioinformatics resources hinders efforts toward automated biomedical knowledge extraction and streamlined data analysis. Here we present SNAIL, a hybrid named entity recognition framework designed to automatically identify bioinformatics software and database (SW/DB) names from biomedical texts. SNAIL integrates complementary lexical and semantic modeling strategies. The lexical component captures orthographic patterns and contextual cues characteristic of SW/DB names, while the semantic component leverages contextual embeddings generated by transformer-based language models such as SciBERT, combined with an explicit token-masking strategy to enhance entity-focused representations. A large training corpus was constructed automatically through a hybrid pipeline that integrates citation-hinted extraction with large language model-assisted distillation. Evaluation on two independent benchmark datasets and real-world research articles demonstrates that SNAIL substantially outperforms existing approaches, including domain-specific methods such as bioNerDS2 and general-purpose large language models such as ChatGPT, Gemini, Grok and Claude. Applying SNAIL to large-scale literature analysis further reveals distinct journal-level preferences across bioinformatics subfields. These results demonstrate that SNAIL provides an accurate and scalable solution for identifying bioinformatics resources in scientific texts and enables systematic meta-analysis of tool usage and research trends.

Additionally, Google has made binding commitments in court to never intentionally re-identify the data. However, as the flight attendants’ association pointed out, the data sale seems to require that both consumers and…

<p><strong><a href="https://promptwatch.com/data/chatgpt-site-operator-fanouts">ChatGPT search now uses the site:operator at scale</a></strong></p> Promptwatch is part of the emerging "GEO" space, for Generative Engine Optimization - the chatbot version of SEO, where companies offer tools and consulting to help your site increase its presence in replies to prompts inside tools like ChatGPT.</p> <p>The Promptwatch product uses automation to track responses to prompts across end-user chat products like ChatGPT, Claude, and Gemini. They publish aggregate reports on this as part of their own content marketing strategy, which do seem to provide credible hints as to otherwise invisible design changes to those products.</p> <p>Their own tracking shows a notable change aligned with the GPT-5.6 rollout earlier this month:</p> <blockquote> <p>The percentage of all ChatGPT Search fanout queries that contain the site:operator, per day. The share hovered between 0.3% and 0.5% for weeks, dipped briefly to 0.15% on August 3 to 5 (consistent with a staged rollout or pre-launch experiment), then jumped to 16-17% on August 8.</p> </blockquote> <p>It's important to note that these figures only reflect the prompts for which they have automated tracking enabled.</p> <p>This corresponds to OpenAI's somewhat vague <a href="https://openai.com/index/improving-gpt-5-6-sol-in-chatgpt/">August 6th announcement</a>:</p> <blockquote> <p>For Plus and Pro users, we’re updating GPT‑5.6 Sol in Chat to be more reliable with facts and provide more focused answers.</p> </blockquote> <p>Once again I am hampered by OpenAI's decision to actively obscure their system prompts, but from poking at ChatGPT I believe their latest search tool has a shape like <code>search(query, recency, domains)</code> rather than encouraging a <code>site:</code> operator directly. <p>Tags: <a href="https://simonwillison.net/tags/seo">seo</a>, <a href="https://simonwillison.net/tags/chatgpt">chatgpt</a>, <a href="https://simonwillison.net/tags/ai-assisted-search">ai-assisted-search</a></p>

13 Join the conversation Follow us Add us as a preferred source on Google The Salem City Council convened a public meeting last July 27, where it discussed the proposed $5.1 billion Oakline at Mill Creek data center by…

Google will soon allow you to customize your Discover feed by describing what you want to see. The new feature, rolling out to the Google app in the "coming days," will use AI to automatically tweak your feed and "remember" your preferences for future visits. You'll find the option within the three-dot menu on your Discover feed. As shown in a video shared by Google, tapping the feature will open a chatbot-style interface, where you'll be able to describe your preferences. The chatbot will confirm your choices and lay out the types of content it will prioritize, but you'll also have the option to add more information if it doesn't get it qu … Read the full story at The Verge.

Google says its new Pixel Watch 5 outperforms the location tracking on the Garmin Fenix 8 Pro. I put them to the test.

The Google Pixel Watch 5 is a faster, intelligent smartwatch with some helpful health and wellness features under the hood.

If you're not happy with the algorithm on your Discover page, you can now tell Google what you want in your own words.

Argument AI - Apps on Google Play Argument AI S O R S In-app purchases Teen info 0+ Downloads Teen Diverse Content: Discretion Advised Users Interact, In-App Purchases Learn more Argument AI helps two to four people exa…

--> [Submitted on 27 Mar 2026 (v1), last revised 6 Apr 2026 (this version, v2)] Title:Beyond BMI: Smartphone Body Composition Phenotyping for Cardiometabolic Risk Assessment View a PDF of the paper titled Beyond BMI: Sm…

From AI fundamentals to data analysis and app building, Google's certificate covers quite a lot. And there's a way to avoid paying anything to earn your credential.

arXiv:2608.18085v1 Announce Type: new Abstract: Prior work has shown that large language models (LLMs) can express diverse personality traits in open-ended text generation. However, it remains unclear whether they can do so in a goal-directed dialogue without compromising task completion, and whether adapting to the user's personality improves the interaction quality. We study these questions in task-oriented dialogue (TOD), where a system helps a user accomplish a goal via multi-turn interaction. We build a training-free framework that simulates a TOD interaction between two LLMs: a user agent that exhibits a target personality and a system agent that adapts to the user while completing the task. To isolate the effect of adaptation, we vary how much the system knows about the user's personality across three conditions. In Neutral, the system receives no personality information. In Try, it infers the personality from dialogue cues. In Oracle, it is given the personality explicitly. We evaluate GPT-4o, Qwen3-Next-80B, and Gemini 2.0 Flash on Hotel and Restaurant dialogues from the Schema-Guided Dialogue (SGD) dataset, across the Big Five traits and their opposite poles. We find that the user agent can express personality while the system maintains strong task performance, although some traits are realized far less reliably than others. Adapting to the user's personality improves constraint satisfaction, inform rate, and user satisfaction, but lowers truthfulness, revealing a trade-off between personalization and task-grounding. Oracle's gains grow when the target trait is strongly expressed, whereas Try's gains are largely insensitive to realization strength. Overall, cue-based adaptation in Try best resolves this trade-off and offers a more reliable route to personality-aware TOD without fine-tuning.

At Google, code changes require both a language readability and a domain review. The former is what you’d expect from a code review, whereas the latter was a review from someone[^1] very proficient in the language, inte…

Daily Reminder To Not Listen To Google’s AI Overview | Whatever Daily Reminder To Not Listen To Google’s AI Overview Posted on August 19, 2026 Posted by Athena Scalzi 20 Comments Hey y’all, I’m here today with a PSA tha…

Here’s how you can use Google Search tools to study for classes and standardized tests.

As we're gearing up for back-to-school season, Google is rolling out a new dedicated student hub in Gemini. It's a one-stop repository for collecting research in a study notebook, creating flashcards, taking practice quizzes, and more. Google is also enhancing its study notebooks with support for graphs and images. It can even add test dates and deadlines to your Google Calendar based on your syllabus. Google is also adding Deep Research to Gemini Live. You can ask Gemini to generate complicated research reports and talk through the results. If it's taking a while, you can close the chat and lock your phone screen, and Gemini will let you k … Read the full story at The Verge.

Meta AI can create content and make suggestions based on what it “sees” on your screen. | Image: Meta Meta is launching a new Mac app dedicated to its AI chatbot. In an announcement on Wednesday, Meta says you can share your window with its AI chatbot, which can provide suggestions, answer questions, or create content based on what's on your screen. Meta AI on the Mac also supports dictation across all apps. The launch comes as Meta makes its AI chatbot more like a productivity-focused assistant to better compete with its AI rivals - many of which already have desktop apps. You can share your window with Google's Gemini AI app, while OpenAI's ChatGPT and Anthropic's Claude apps take things a step further by allowing the chatbots to take con … Read the full story at The Verge.

The subtle changes are nice, but not enough to justify spending $1,900 on Google's latest foldable phone when better alternatives exist.

The Pixel 11 Pro XL has some gorgeous hardware and some neat AI tricks, but the cameras need good lighting to shine.

We tested the latest Android phones on the market, from the Samsung Galaxy Z Fold 8 to the Google Pixel 11 series. Here's how they stack up.

AI visibility for local business Is your business seen by AI? Your customers now ask ChatGPT and Gemini "what's the best gym near me?" instead of Googling. LocalSeen shows whether AI recommends you or your competitor, a…

1 Join the conversation Follow us Add us as a preferred source on Google A firm that is using AI to locate ancient shipwrecks is sending out a call to seafarers to salvage sunken treasure. The general impression of the…

Google LLC today revealed it’s partnering with the U.K. government and the country’s aviation industry on a new initiative called Operation Blue Skies that aims to use artificial intelligence insights to reduce the impact of climate-warming contrails across an entire oceanic airspace. Contrails are the white clouds that sometimes form behind airplanes at cruising altitudes. […] The post Google partners with the aviation industry to prevent climate-warming contrails with AI appeared first on SiliconANGLE.

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