←Search results

By relevance · Total 1192 results Clear search

Thursday

  1. FactRelated story

    Google releases AQuA quality agent reference implementation

    On October 8, the Google Developers Blog publicly released the AQuA (Ambient Quality Agent) reference implementation, which places a quality Agent alongside the production Agent, responsible for clustering failed conversations, reviewing issues, and anchoring diagnoses to deployment source code snapshots. Related reporting notes that this type of outer-loop quality inspection may still share blind spots with the production Agent in terms of models, logs, and business definitions, and that testing teams need to shift toward designing observation surfaces, calibrating anomaly labels, maintaining evidence chains, and defining escalation rules. The reporting also presents three verification methods—injecting known faults, blind-review controls, and root-cause replay—as well as a phased adoption path for small teams. There are currently no follow-up developments.

    Matched fieldsTitle

    View story:Google releases AQuA quality Agent reference implementation

Sunday

  1. Story1 reports · 1 facts

    Google paper shows that task-specialized harnesses can improve agent scores

    Google published a paper proposing OO-Harness, a method for evolving task-specific agent harnesses by task type. The method evolves harnesses along code-class lines: each specialized harness inherits from a parent class and changes only the parts that its task cluster needs adjusted; a router then selects a specialized harness or keeps the base result based on the base run's results. The paper reports that on AutomationBench business workflows, the method scored 77.41%, versus 61.62% for the base harness and 63.92% for the global method Meta-Harness; on unfamiliar applications, it kept the base harness and maintained a 59.18% pass rate, while Meta-Harness's global harness dropped to 44.90%. The authors recommend using the base harness as a fallback for mixed workloads and routing to a specialized harness only when a run exposes a known problem.

    Google published a paper proposing OO-Harness, a method for evolving task-specific agent harnesses by task type. The method evolves harnesses along code-class lines: each specialized harness inherits from a parent class and changes only the parts that its task cluster needs adjusted; a router then selects a specialized harness or keeps the base result based on the base run's results. The paper reports that on AutomationBench business workflows, the method scored 77.41%, versus 61.62% for the bas

    Matched fieldsTitle

  2. Story1 reports · 1 facts

    Google provides an extension system and LangChain extension for Agents CLI

    Google Cloud's Agents CLI has introduced an Extension System starting with version 1.5.0, allowing developers to override or add commands without forking the tool. Version 1.8.0 debuts the first LangChain extension, replacing commands tied to ADK with equivalent LangChain implementations. Extensions are declared via agents-cli-extension.yaml in a Git repository and can override built-in commands such as playground, deploy, and eval generate, or add new commands; enterprise platform teams can use this to enforce policies such as SBOM scanning in the deployment process. This information currently comes from the release notes on the Google Developers Blog, and there are no subsequent developments yet.

    Google Cloud's Agents CLI has introduced an Extension System starting with version 1.5.0, allowing developers to override or add commands without forking the tool. Version 1.8.0 debuts the first LangChain extension, replacing commands tied to ADK with equivalent LangChain implementations. Extensions are declared via agents-cli-extension.yaml in a Git repository and can override built-in commands such as playground, deploy, and eval generate, or add new commands; enterprise platform teams can use

    Matched fieldsTitle

  3. Story1 reports · 1 facts

    Google Partners with Prune Nourry on Documentary Reconstructing Sculptors' Studios with AI

    Google has partnered with artist Prune Nourry to produce a documentary that uses Google AI to reconstruct the workspaces of 19th-century sculptors. According to information published on the Google Blog on October 21, 2026, the project was advanced by Prune Nourry in collaboration with Google Arts & Culture, using Google generative AI and image editing models to reconstruct the lost workshops of 19th-century Parisian women sculptors such as Nancy Elizabeth Prophet, Jane Poupelet, and Camille Claudel, and building a custom tool based on Gemini to generate walkable 3D models from archival photographs. The project accompanies a 10-minute documentary paying tribute to 18 women sculptors overlooked by art history. The related "Visionaries" exhibition is on display at the Petit Palais in Paris from October 20, 2026, to January 30, 2027. There are currently no subsequent developments.

    Google has partnered with artist Prune Nourry to produce a documentary that uses Google AI to reconstruct the workspaces of 19th-century sculptors. According to information published on the Google Blog on October 21, 2026, the project was advanced by Prune Nourry in collaboration with Google Arts & Culture, using Google generative AI and image editing models to reconstruct the lost workshops of 19th-century Parisian women sculptors such as Nancy Elizabeth Prophet, Jane Poupelet, and Camille Clau

    Matched fieldsTitle

  4. Story1 reports · 1 facts

    Google Cloud announces that A5X instances will be available to all customers next month

    Google Cloud announced that it will make Vera Rubin-based A5X instances available to all customers next month. Related reports noted that early testing by London-based advertising group WPP showed that AI agent workloads that previously required multiple server clusters to run can now run on a single A5X instance. The reports also said that, externally, the racks are interconnected via ConnectX-9 network cards and Google's Virgo network, and can scale across multiple sites to 960K Rubin GPUs; the design is aimed at reinforcement learning, and faster CPU-to-GPU and GPU-to-GPU links can shorten the time per training round. The instances are not yet available, and further developments await disclosure.

    Google Cloud announced that it will make Vera Rubin-based A5X instances available to all customers next month. Related reports noted that early testing by London-based advertising group WPP showed that AI agent workloads that previously required multiple server clusters to run can now run on a single A5X instance. The reports also said that, externally, the racks are interconnected via ConnectX-9 network cards and Google's Virgo network, and can scale across multiple sites to 960K Rubin GPUs; th

    Matched fieldsTitle

  5. Story1 reports · 1 facts

    Google launches Personal Intelligence for Android Auto

    Google launches Gemini Personal Intelligence for Android Auto. According to a t3n report on October 21, 2026, the feature can access data from Gmail, Google Calendar, Google Photos, Google Maps, YouTube, and Search—for example, to look up a flight's boarding gate or set navigation to a location from a photo. The report says the feature is rolling out in all regions except the EU, Switzerland, the UK, and Nigeria, and it is not yet clear when it will be available to users in Germany. Personal Intelligence is off by default and requires authorization in the Gemini app before it can access these Google services. There are currently no subsequent developments.

    Google launches Gemini Personal Intelligence for Android Auto. According to a t3n report on October 21, 2026, the feature can access data from Gmail, Google Calendar, Google Photos, Google Maps, YouTube, and Search—for example, to look up a flight's boarding gate or set navigation to a location from a photo. The report says the feature is rolling out in all regions except the EU, Switzerland, the UK, and Nigeria, and it is not yet clear when it will be available to users in Germany. Personal Int

    Matched fieldsTitle

Thursday

  1. FactRelated story

    Google paper shows that task-specialized harnesses can improve agent scores

    Google published a paper proposing OO-Harness, a method for evolving task-specific agent harnesses by task type. The method evolves harnesses along code-class lines: each specialized harness inherits from a parent class and changes only the parts that its task cluster needs adjusted; a router then selects a specialized harness or keeps the base result based on the base run's results. The paper reports that on AutomationBench business workflows, the method scored 77.41%, versus 61.62% for the base harness and 63.92% for the global method Meta-Harness; on unfamiliar applications, it kept the base harness and maintained a 59.18% pass rate, while Meta-Harness's global harness dropped to 44.90%. The authors recommend using the base harness as a fallback for mixed workloads and routing to a specialized harness only when a run exposes a known problem.

    Matched fieldsTitle

    View story:Google paper shows that task-specialized harnesses can improve agent scores

  2. Story1 reports · 1 facts

    Pichai says Google's space data center project will reach a TPU "hello world" moment

    Google CEO Sundar Pichai said the company's space data center project Project Suncatcher is about to reach a "hello world" moment with TPU. He also said the team will achieve important milestones within 10 to 20 years. Pichai called the 24/7 energy available in sun-synchronous orbit the project's first-principles basis, and noted that physical space on Earth is limited and hard-pressed to support the exponential growth in computing demand over the next 20 years. The project is still in its early stages, with no further evidenced developments.

    Google CEO Sundar Pichai said the company's space data center project Project Suncatcher is about to reach a "hello world" moment with TPU. He also said the team will achieve important milestones within 10 to 20 years. Pichai called the 24/7 energy available in sun-synchronous orbit the project's first-principles basis, and noted that physical space on Earth is limited and hard-pressed to support the exponential growth in computing demand over the next 20 years. The project is still in its early

    Matched fieldsTitle

  3. FactRelated story

    Pichai says Google's space data center project will have a TPU "hello world" moment

    Google CEO Sundar Pichai said the company's space data center project Project Suncatcher is about to reach a "hello world" moment with TPU. He also said the team will achieve important milestones within 10 to 20 years. Pichai called the 24/7 energy available in sun-synchronous orbit the project's first-principles basis, and noted that physical space on Earth is limited and hard-pressed to support the exponential growth in computing demand over the next 20 years. The project is still in its early stages, with no further evidenced developments.

    Matched fieldsTitle

    View story:Pichai says Google's space data center project will reach a TPU "hello world" moment

  4. Story1 reports · 1 facts

    Google Research publishes a generalization study on blind-sweep ultrasound gestational age estimation

    Google Research published an AI gestational age estimation study based on blind-sweep ultrasound in JAMA Network Open. In prospective tests in Chicago (n=192) and Nairobi (n=193), the model's mean absolute error was 4.18 days, versus 4.48 days for expert sonographers, and the study reports non-inferiority. The model was fine-tuned only on data from 120 participants in Chicago and did not use Nairobi data; the errors in the two locations were 4.10 days and 4.27 days, respectively. The study used a Clarius C3 handheld probe, with standardized blind sweeps performed by operators without professional ultrasound training. There are currently no follow-up developments.

    Google Research published an AI gestational age estimation study based on blind-sweep ultrasound in JAMA Network Open. In prospective tests in Chicago (n=192) and Nairobi (n=193), the model's mean absolute error was 4.18 days, versus 4.48 days for expert sonographers, and the study reports non-inferiority. The model was fine-tuned only on data from 120 participants in Chicago and did not use Nairobi data; the errors in the two locations were 4.10 days and 4.27 days, respectively. The study used

    Matched fieldsTitle

  5. Story1 reports · 1 facts

    Google, Temasek and Bain Release Annual Report on Southeast Asia's Digital Economy

    Google, Temasek and Bain & Company released the 11th edition of the annual e-Conomy SEA report. The report forecasts that Southeast Asia's digital economy GMV will grow 17% year-on-year to $368 billion in 2026, and exceed $1 trillion by 2035. The report also presents generative AI adoption figures: 243 million Southeast Asians already use it daily, a growth rate 4 times that of the mobile internet, and regional AI usage is expected to grow 60-fold over the next five years; 75% of users are willing to let AI agents compare prices and complete transactions on their behalf, but the region will need to expand data center capacity roughly 3-fold over the next five years to support computing demand. Follow-up reporting further states that the number of generative AI adopters in Southeast Asia reached about 243 million in under three years, accounting for 58% of the workforce, yet only 1%–2% of the population pays for personal AI subscriptions; businesses have instead monetized through channels such as e-commerce conversion, digital advertising and customer service—for example, about 80% of Shopee's customer inquiries are handled by AI chatbots, with per-interaction customer service costs down 30% year-on-year.

    Google, Temasek and Bain & Company released the 11th edition of the annual e-Conomy SEA report. The report forecasts that Southeast Asia's digital economy GMV will grow 17% year-on-year to $368 billion in 2026, and exceed $1 trillion by 2035. The report also presents generative AI adoption figures: 243 million Southeast Asians already use it daily, a growth rate 4 times that of the mobile internet, and regional AI usage is expected to grow 60-fold over the next five years; 75% of users are willi

    Matched fieldsTitle

Monday

  1. FactRelated story

    OpenAI's GPT-6 series models launch on Google Cloud

    On October 21, 2026, OpenAI announced a partnership with Google Cloud to bring its frontier models and Codex agent workflows to Google Cloud's Model Garden, allowing enterprises to use these technologies within their existing build environments. OpenAI's official statement did not disclose specific launch timing, the list of available models, or pricing information. Subsequent reports said that GPT-6 Astra, GPT-6.1 Sol, GPT-6 Luna, and Codex will launch on Google Cloud, with the first batch of models already available to select enterprise customers in private preview and a general availability plan to roll out in the coming weeks; enterprises can call them via the Google Cloud API and purchase them on Google Cloud Marketplace using their cloud account balances. Other reports said that GPT-6 Astra, GPT-6.1 Sol, and GPT-6 Luna are already live on Google Cloud.

    Matched fieldsTitle

    View story:OpenAI and Google Cloud reach partnership; frontier models and Codex to launch on Google Cloud

  2. FactRelated story

    Google, Temasek and Bain release annual report on Southeast Asia's digital economy

    Google, Temasek and Bain & Company released the 11th edition of the annual e-Conomy SEA report. The report forecasts that Southeast Asia's digital economy GMV will grow 17% year-on-year to $368 billion in 2026, and exceed $1 trillion by 2035. The report also presents generative AI adoption figures: 243 million Southeast Asians already use it daily, a growth rate 4 times that of the mobile internet, and regional AI usage is expected to grow 60-fold over the next five years; 75% of users are willing to let AI agents compare prices and complete transactions on their behalf, but the region will need to expand data center capacity roughly 3-fold over the next five years to support computing demand. Follow-up reporting further states that the number of generative AI adopters in Southeast Asia reached about 243 million in under three years, accounting for 58% of the workforce, yet only 1%–2% of the population pays for personal AI subscriptions; businesses have instead monetized through channels such as e-commerce conversion, digital advertising and customer service—for example, about 80% of Shopee's customer inquiries are handled by AI chatbots, with per-interaction customer service costs down 30% year-on-year.

    Matched fieldsTitle

    View story:Google, Temasek and Bain Release Annual Report on Southeast Asia's Digital Economy

Wednesday

  1. FactRelated story

    Google provides an extension system and LangChain extension for Agents CLI

    Google Cloud's Agents CLI has introduced an Extension System starting with version 1.5.0, allowing developers to override or add commands without forking the tool. Version 1.8.0 debuts the first LangChain extension, replacing commands tied to ADK with equivalent LangChain implementations. Extensions are declared via agents-cli-extension.yaml in a Git repository and can override built-in commands such as playground, deploy, and eval generate, or add new commands; enterprise platform teams can use this to enforce policies such as SBOM scanning in the deployment process. This information currently comes from the release notes on the Google Developers Blog, and there are no subsequent developments yet.

    Matched fieldsTitle

    View story:Google provides an extension system and LangChain extension for Agents CLI

  2. FactRelated story

    Google Research publishes a generalization study on blind-sweep ultrasound gestational age assessment

    Google Research published an AI gestational age estimation study based on blind-sweep ultrasound in JAMA Network Open. In prospective tests in Chicago (n=192) and Nairobi (n=193), the model's mean absolute error was 4.18 days, versus 4.48 days for expert sonographers, and the study reports non-inferiority. The model was fine-tuned only on data from 120 participants in Chicago and did not use Nairobi data; the errors in the two locations were 4.10 days and 4.27 days, respectively. The study used a Clarius C3 handheld probe, with standardized blind sweeps performed by operators without professional ultrasound training. There are currently no follow-up developments.

    Matched fieldsTitle

    View story:Google Research publishes a generalization study on blind-sweep ultrasound gestational age estimation

  3. FactRelated story

    Google partners with Prune Nourry to produce documentary on AI reconstruction of sculptor's studio

    Google has partnered with artist Prune Nourry to produce a documentary that uses Google AI to reconstruct the workspaces of 19th-century sculptors. According to information published on the Google Blog on October 21, 2026, the project was advanced by Prune Nourry in collaboration with Google Arts & Culture, using Google generative AI and image editing models to reconstruct the lost workshops of 19th-century Parisian women sculptors such as Nancy Elizabeth Prophet, Jane Poupelet, and Camille Claudel, and building a custom tool based on Gemini to generate walkable 3D models from archival photographs. The project accompanies a 10-minute documentary paying tribute to 18 women sculptors overlooked by art history. The related "Visionaries" exhibition is on display at the Petit Palais in Paris from October 20, 2026, to January 30, 2027. There are currently no subsequent developments.

    Matched fieldsTitle

    View story:Google Partners with Prune Nourry on Documentary Reconstructing Sculptors' Studios with AI

  4. FactRelated story

    Google Cloud announces A5X instances will open to all customers next month

    Google Cloud announced that it will make Vera Rubin-based A5X instances available to all customers next month. Related reports noted that early testing by London-based advertising group WPP showed that AI agent workloads that previously required multiple server clusters to run can now run on a single A5X instance. The reports also said that, externally, the racks are interconnected via ConnectX-9 network cards and Google's Virgo network, and can scale across multiple sites to 960K Rubin GPUs; the design is aimed at reinforcement learning, and faster CPU-to-GPU and GPU-to-GPU links can shorten the time per training round. The instances are not yet available, and further developments await disclosure.

    Matched fieldsTitle

    View story:Google Cloud announces that A5X instances will be available to all customers next month

  5. Story1 reports · 1 facts

    NVIDIA and Google Cloud announce the launch of the first A5X instances

    On October 21, 2026, NVIDIA and Google Cloud announced at GTC Berlin that the first A5X instances equipped with NVIDIA Vera Rubin NVL72 are already running at one customer. The two companies plan to make them generally available in November 2026 and to expand the instances to Europe. A5X combines ConnectX-9 SuperNICs, Google Cloud's Virgo network, and fourth-generation liquid cooling, targeting large-scale agentic inference and reinforcement learning workloads; Google Cloud says it plans to scale this infrastructure to as many as 960,000 Rubin GPUs. The first customer is Ineffable Intelligence, a London-based company founded by David Silver, which will use it for large-scale reinforcement learning; WPP also demonstrated a creative agent architecture based on NVIDIA Nemotron models and OpenShell on A5X.

    On October 21, 2026, NVIDIA and Google Cloud announced at GTC Berlin that the first A5X instances equipped with NVIDIA Vera Rubin NVL72 are already running at one customer. The two companies plan to make them generally available in November 2026 and to expand the instances to Europe. A5X combines ConnectX-9 SuperNICs, Google Cloud's Virgo network, and fourth-generation liquid cooling, targeting large-scale agentic inference and reinforcement learning workloads; Google Cloud says it plans to scal

    Matched fieldsTitle

  6. FactRelated story

    English translation is being prepared.

    On October 21, 2026, NVIDIA and Google Cloud announced at GTC Berlin that the first A5X instances equipped with NVIDIA Vera Rubin NVL72 are already running at one customer. The two companies plan to make them generally available in November 2026 and to expand the instances to Europe. A5X combines ConnectX-9 SuperNICs, Google Cloud's Virgo network, and fourth-generation liquid cooling, targeting large-scale agentic inference and reinforcement learning workloads; Google Cloud says it plans to scale this infrastructure to as many as 960,000 Rubin GPUs. The first customer is Ineffable Intelligence, a London-based company founded by David Silver, which will use it for large-scale reinforcement learning; WPP also demonstrated a creative agent architecture based on NVIDIA Nemotron models and OpenShell on A5X.

    Matched fieldsTitle

    View story:NVIDIA and Google Cloud announce the launch of the first A5X instances

  7. FactRelated story

    Google launches Personal Intelligence for Android Auto

    Google launches Gemini Personal Intelligence for Android Auto. According to a t3n report on October 21, 2026, the feature can access data from Gmail, Google Calendar, Google Photos, Google Maps, YouTube, and Search—for example, to look up a flight's boarding gate or set navigation to a location from a photo. The report says the feature is rolling out in all regions except the EU, Switzerland, the UK, and Nigeria, and it is not yet clear when it will be available to users in Germany. Personal Intelligence is off by default and requires authorization in the Gemini app before it can access these Google services. There are currently no subsequent developments.

    Matched fieldsTitle

    View story:Google launches Personal Intelligence for Android Auto