Every region has women leading and solving humanity's greatest challenges. Their contributions deserve global recognition. __ Women’s AI Summit 2026 Site  gatherverse.org/women-ai-2026/ May our gather be well.

No two women experience the world in the same way. Her life experiences tell a different human story. Every story expands AI's view of humanity. __ Women’s AI Summit 2026 Site  gatherverse.org/women-ai-2026 May our gather be well.

Somewhere, across the world, she is discovering AI. Elsewhere, she is building and advancing it. Half a world away, she is investing in the frontier. Their stories meet here. __ Women’s AI Summit 2026 Site  gatherverse.org/women-ai-2026 May our gather be well.

The next frontier may be defined by a woman whose voice has too often been overlooked. She belongs here. Site gatherverse.org/women-ai-2026 May our gather be well.

In one of the most consequential chapters of human innovation, greater visibility for women leaders matters more than ever. __ Women’s AI Summit 2026 Site  gatherverse.org/women-ai-2026 May our gather be well

She brings authorship to artificial intelligence. A leader. She brings critique, technical fluency and strategic force. Original command. The future of AI must recognize her as central to the work. Non negotiable. Women’s AI Summit 2026 Site  gatherverse.org/women-ai-2026/

The future is too far away for women to begin to lead. Women are leading AI, across all industries. Women’s AI Summit 2026 Site  gatherverse.org/women-ai-2026/ May our gather be well.

She arrives as author, builder, and strategist. She leads in the frontier of innovation. Women leaders belong where power is defined. __ Women’s AI Summit 2026 Site  gatherverse.org/women-ai-2026 May our gather be well

is difficult to think of any part of life untouched by a woman's hand. As AI becomes prevalent in our world, more women are needed at the decision making table: their leadership, experiences, concerns, and contributions. __ Women’s AI Summit 2026 Site  gatherverse.org/women-ai-2026

The horizon of artificial intelligence expands only when women guide the frontier. __ Women’s AI Summit 2026 Site  gatherverse.org/women-ai-2026 May our gather be well

Her way forward __ Women’s AI Summit 2026 Site  gatherverse.org/women-ai-2026 May our gather be well #WomensAISummit2026 #GatherVerse #WomenInAI #AIGovernance #FutureOfTechnology #ResponsibleAI

Human progress reaches further when women are fully represented in innovation, research, funding, governance and leadership. The impact spans generations. __ Women’s AI Summit 2026 Site gatherverse.org/women-ai-2026 May our gather be well.

All generations of women are needed now more than ever in the most consequential and innovative time in human history. __ Women’s AI Summit 2026 Site  gatherverse.org/women-ai-2026 May our gather be well.

Infuse intelligent machines with the perspectives and governance of women, and the future of all humanity will be protected __ Women’s AI Summit 2026 Site  gatherverse.org/women-ai-2026 May our gather be well.

AI tools like AlphaFold have transformed the landscape of protein design in less than a decade. Meanwhile, organic chemists are still waiting for their own “AlphaFold moment” for predicting reaction recipes and routes for small-molecule synthesis. cen.acs.org/synthesis/ca... #chemsky 🧪

“A model of roads trained on only grid cities won’t properly predict the street plans of Rome or Boston.” An essay on the perils of AlphaFold and other kinds of AI in science cen.acs.org/pharmaceutic...

The AI Chemist: To be trustworthy, LLMs need to show their work

Good scientists reveal how they do their experiments and report their results; so should any machine-driven research

cen.acs.org

🧬 Figure Friday: Celebrating discoveries from the Protein Science community Can AI predict how proteins assemble? Ben Corry and colleagues show that AlphaFold can accurately predict the oligomeric states of many proteins, while also highlighting cases where predictions remain challenging.

John Jumper, the Nobel laureate behind AlphaFold, is leaving Google DeepMind after ~9 years for Anthropic. AlphaFold predicted 200M+ protein structures. Lands amid the talent war, days after Shazeer left Google for OpenAI. (Disclosure: we run on Anthropic's Claude.)

John Jumper, the Nobel laureate behind AlphaFold, is leaving Google DeepMind for Anthropic

John Jumper, who shared the 2024 Nobel Prize in Chemistry for AlphaFold, is leaving Google DeepMind after nearly nine years to join Anthropic. AlphaFold predicted 200M+ protein structures. The move lands amid the AI talent war, days after Shazeer left Google for OpenAI.

zubnet.ai

www.businessinsider.com/alphafold-jo... I don't know but I consider alpha fold pretty fucking important work.

AlphaFold pioneer who won a Nobel Prize alongside Demis Hassabis leaves Google DeepMind for Anthropic

John Jumper, a key member of the team at Google DeepMind for nearly a decade, is decamping for Anthropic.

businessinsider.com

Will AlphaFold et al. figure out how the genome works? Doubtful, says @philipcball.bsky.social. I think he's absolutely right. The genome is a complex adaptive system, w/ many layers of regulation and buffering—a "sensitive organ of the cell," said Barbara McClintock—in 1983!

Why the Human Genome’s Tangled Physicality May Confound AI | Quanta Magazine

Our genetic heritage is not a blueprint or an algorithm, as many biologists have imagined, but something else entirely.

quantamagazine.org

A tough week for Google’s AI efforts. Along with losing the co-lead of Gemini to OpenAI, they are also losing the Nobel Prize winning lead of the AlphaFold project at DeepMind to Anthropic. He won a Nobel Prize in Chemistry in 2024 for using AI to predict 3D protein structures.

I’m not anti-tech or investment in tech. I’m excited about solar and AlphaFold and ocean monitoring. I love science; and I know the less flashy sides of science are suffering too. I just don’t want to see the humanities, our collective history, gutted to the point where it’s too late.

Isolation and characterization of broad-range Staphylococcus epidermidis sepunaviruses. Published Open Access and fee-free in Microbiology using a Publish and Read agreement: https://doi.org/10.1099/mic.0.001693 #Mic #PublishandRead

World-leading Aussie science fighting #AntimicrobialResistance! PhD student George Bouras added 17M bacterial protein predictions to the #AlphaFold database. This was made possible by a partnership between BioCommons & @pawseycentre.bsky.social to containerise #ColabFold on Setonix. Read more 🔗

World-leading Australian science: 17M protein structures added to the AlphaFold Database to accelerate the fight against antimicrobial resistance  — Australian BioCommons

Australian researcher, George Bouras, has recently contributed an extraordinary 17 million protein predictions to the AlphaFold Protein Structure Database. This work was possible thanks to the availability of the ColabFold tool on Setonix AMD, the result of collaboration between BioCommons and the P

biocommons.org.au

Join us next week for our webinar, where we will demonstrate how to fetch and parse structural data using the AlphaFold Database (AFDB) APIs. Registration is free but essential to secure your place: www.ebi.ac.uk/training/eve... 🖥️🧬

🔬🚀 It's out! Run 100s of imaging experiments before touching a microscope. #VLab4Mic reproduces them in silico from PDB/AlphaFold to help you image right first time. From rockstars Damián Martínez & Bruno Saraiva, inaugural preprint of @mariodelr.bsky.social new lab www.biorxiv.org/content/10.6...

Mario Del Rosario@mariodelr.bsky.social · 2mo ago

Congratulations to Damián Martinez, Bruno Saraiva, @taylashakespeare.bsky.social, @wmarkbates.bsky.social, Dylan Owen, @christlet.bsky.social and @henriqueslab.bsky.social We hope VLab4Mic helps researchers design better experiments and ask better biological questions 💻 vlab4mic.henriqueslab.org

It always gets me the lengths people go to try to argue that LLMs and image generation models "aren't really AI", and then they point to "AI" things, and they're based on the same underlying tech. AlphaFold is built on latents, diffusion, *and* Transformers.

Before AlphaFold: Biology was like trying to understand machines without seeing their shapes. After AlphaFold: Scientists suddenly received a massive 3D blueprint library for life’s molecular machinery. This is how we can use AI for good. But w/o regulation, we risk harm to society.

AlphaFold: Five Years of Impact

Explore five years of AlphaFold’s impact on biology. Learn how this Nobel Prize-winning AI is accelerating scientific discovery globally

deepmind.google

STOP using ipTM for #AlphaFold PPI screens. * Artificially LOW when both full-length proteins have irrelevant, non-binding IDRs/domains. * If one protein is folded & other contains irrelevant IDRs or domains, the score is too HIGH bc of d0. * Use ipSAE or LIS. www.biorxiv.org/content/10.1...

When virtual worlds can be created with a single prompt, the true measure of innovative stewardship is building with purpose, governing responsibly, and sustaining them for the benefit of humanity. Site gatherverse.org/xre2026/ May our gather be well.