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The bottleneck in reading the human genome has never been sequencing it — it has been working out which of the roughly 9 billion possible single-letter changes actually do anything. Google DeepMind's answer, released on September 8, is to stop guessing one variant at a time and precompute all of them: AlphaGenome Atlas is a one-petabyte catalogue of predicted molecular effects, free for academic use and more than 30 times the size of the AlphaFold Database.

Key takeaways

AlphaGenome Atlas contains predicted molecular effects for about 9 billion single-nucleotide variants, covering both coding and non-coding regions of the human genome.
A new AlphaGenome Variant Impact (AVI) score condenses AlphaGenome and AlphaMissense predictions into one number so researchers can rank variants before running experiments.
Early collaborators used it to pin down a DNM1 variant tied to epileptic encephalopathy and to surface 22% more non-coding trait associations in UK Biobank data.

Why this is a release at all

AlphaGenome itself shipped last year and is already in research use, a point DeepMind genomics lead Ziga Avsec acknowledged in a press briefing covered by The Verge, where he attributed the year-long gap to the raw cost of precomputing and analysing a variant space that large. The engineering work, in other words, was the product: an on-demand inference problem became a lookup table, which is a different thing to hand a biologist.

That distinction is what makes the AlphaFold comparison load-bearing. The 2022 database expansion took protein structures from roughly 190,000 experimentally determined entries to more than 200 million predictions, and the reason it reshaped the life sciences was accessibility rather than novelty — researchers with no coding background could finally browse it.

What a single variant lookup returns

Each of the 9 billion entries carries thousands of molecular effect predictions across hundreds of human and mouse cell types and tissues, which the AVI score compresses into one rankable number by folding in AlphaMissense's protein-impact predictions alongside AlphaGenome's regulatory ones. Feature attributions then decompose that score back into chromatin accessibility, splicing and conservation, so a high rank comes with a mechanism attached rather than just a warning light.

A fourth resource maps more than 2,500 recurrent DNA motifs — the short sequences that transcription factors bind. DeepMind reports best-in-class AVI performance on several variant pathogenicity and rare disease benchmarks, and stresses that the score works in non-coding DNA, the 98% of the genome that houses most trait-associated variants and where interpretation has always been weakest.

What collaborators found before launch

Working with the GREGoR Consortium, Broad Institute researchers Laura Covill and Anne O'Donnell-Luria used AVI to re-rank rare disease candidates that earlier analyses had passed over, and surfaced a DNM1 variant — a gene tied to epileptic encephalopathy — that the model predicted would create a faulty splice site and an abnormally extended protein. Experimental screens confirmed the prediction and turned up neighbouring variants behaving the same way.

A second test ran at population scale. Gareth Hawkes of the University of Exeter applied the Atlas to whole-genome data from over 54,000 UK Biobank participants and, by grouping rare variants according to predicted molecular effect, pulled 22% more non-coding associations out of the statistical noise — among them regulatory variants governing PLA2G7 and EGLN1. Narrowing a body-mass-index analysis to the most impactful 1% of non-coding variants left 19 genetic regions worth targeting experimentally.

Availability and limits

Access runs through the website portal, the AlphaGenome API and a skill inside Google Antigravity today for non-commercial use, with Google Cloud availability for commercial users promised later. DeepMind is blunt that this is a machine learning output and not clinical guidance — AlphaGenome has not been validated or approved for any clinical use, and every hit still needs wet-lab confirmation.

The release also fits a pattern. Google DeepMind's science group has been converting research models into operational infrastructure at a steady clip, most recently when WeatherNext bought forecasters an extra day of cyclone warning, and it arrives as co-founder Demis Hassabis steps back from running the lab to concentrate on scientific research and drug discovery at Isomorphic Labs.

FAQ

Is AlphaGenome Atlas free to use?

Yes, for non-commercial academic research. Access runs through a free web portal and the AlphaGenome API. Commercial use will be offered on Google Cloud at a later date.

What is the AVI score?

The AlphaGenome Variant Impact score combines AlphaGenome's regulatory predictions with AlphaMissense's protein-impact predictions into a single ranking number. It ships with feature attributions showing which molecular processes drive the score, and DeepMind reports best-in-class results across several variant pathogenicity and rare disease benchmarks.

Can doctors use it to diagnose patients?

No. DeepMind states that AlphaGenome has not been validated for clinical use and that Atlas output is not a substitute for professional medical advice, diagnosis, or treatment. It is a research prioritisation tool whose outputs still require experimental validation.

20:T1612,

Google released a native Gemini app for Windows on Thursday, available globally on Windows 10 and 11 and reachable from anywhere in the operating system by pressing Alt and Space. The shortcut is the product's central claim: the assistant opens over whatever is already on screen rather than in a browser tab that has to be found, focused and then abandoned.

Key takeaways

The Gemini app for Windows is available today worldwide on Windows 10 and 11, downloadable from gemini.google/desktop.
Alt+Space summons the assistant as an overlay on top of the active application, aimed at quick lookups that do not justify a context switch.
The full app window connects to Gmail and Google Drive, hands multi-step work to the Gemini Spark agent, and generates images with Nano Banana or video with Gemini Omni.

What the keyboard shortcut is really for

Most assistant usage is short. A fact needs checking mid-document, a paragraph needs tightening, a slide needs three alternative titles. Each of those is a small request wrapped in an expensive interruption once it requires opening a browser, locating the right tab and signing back into whatever you were doing afterwards.

Google is targeting that wrapper rather than the request. An overlay triggered by Alt+Space keeps the source document visible and returns focus when dismissed, which is the same argument behind launchers like Spotlight and PowerToys Run. Whether it lands depends less on model quality than on how quickly the panel appears and how cleanly it gets out of the way.

The company also promises the app stays light in the background, describing it as lightweight and quiet enough not to slow the machine down. That matters more than it sounds. A resident assistant that costs noticeable memory on a work laptop tends to be uninstalled regardless of what it can do.

What the full window adds

Opened properly rather than summoned, the app is a workspace rather than a prompt box. It reaches Google apps directly, so a request to draft a project summary can pull from Gmail and Google Drive without the user assembling the material first. Longer multi-step tasks can be handed to Gemini Spark, which Google positions as an always-available personal agent.

Generation is bundled in the same surface. Images come from Nano Banana and video from Gemini Omni, both reachable without leaving the desktop app. Google's framing in its announcement post is consolidation: the things people currently open several tabs to do, gathered into one window that sits beside their other applications.

A Google AI subscription is required, availability varies by market, and the app is limited to users 18 and over. The company describes Thursday's release as a starting point, with further native desktop capabilities arriving over time.

Why Google is fighting for the desktop

The browser has been Google's home advantage for two decades, which makes a native Windows binary a notable concession. Assistants are increasingly judged on proximity — how few actions separate a question from an answer — and a tab is no longer close enough when rivals install themselves at the operating system level.

Microsoft has spent two years wiring Copilot into Windows as a first-party feature, with placement Google cannot match. Google's counter is reach into the data people actually work with. For anyone whose documents and mail live in Google's services, an assistant that can read them directly is a different proposition from one that cannot, and that gap is where this app is aimed.

It also extends a pattern. Google shipped intelligent dictation for multimodal input on macOS earlier, and has been steadily pushing Gemini into surfaces beyond search, including a cheaper Omni model tier built for high-volume drafting. Windows was the conspicuous gap.

What to watch next

The open questions are practical. How much memory the app holds at idle, whether Alt+Space conflicts with existing shortcuts, and how the Google Workspace connection behaves under enterprise policy will decide adoption inside companies more than any feature list. Administrators will want deployment controls before this reaches managed fleets at scale.

FAQ

Which versions of Windows support the Gemini app?

Windows 10 and Windows 11, with the app available globally as of Thursday. It can be downloaded from gemini.google/desktop. A Google AI subscription is required, availability varies by region, and use is restricted to people aged 18 and over.

What does Alt+Space do in the Gemini app?

It opens Gemini as an overlay on top of whatever application is currently active, so a question can be asked and answered without leaving the current window. It is designed for short tasks such as fact-checking a document or generating title options during a presentation draft.

Can the Windows app access Gmail and Google Drive?

Yes. Inside the full app window, Gemini can pull information directly from connected Google apps including Gmail and Google Drive, which allows requests such as drafting a project summary from existing mail and documents without manually gathering the source material.

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#google

DeepMind預先算出90億個DNA變異，匯成1PB圖譜

Gemini登陸Windows：一個Alt+Space快捷鍵，直撲桌面入口

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#google

DeepMind預先算出90億個DNA變異，匯成1PB圖譜

Gemini登陸Windows：一個Alt+Space快捷鍵，直撲桌面入口