Amy Kaplan

Marketing @NVIDIA

[Mark Cai (Coolmark) @Coolmark482]

Two weeks ago, I concluded over four years driving influencer & creator initiatives at @NVIDIA.

One thing I'm most grateful for is the community. The creators and developers that showed up with real curiosity, thoughtful questions, and candor always helped push myself and the team further. I've loved watching the different ways creators dig into AI and the NVIDIA stack while finding a way to explain in a way that lands with their audience.

To everyone I got to work with - creators, developers, researchers, NVIDIANs, agencies, partners, the lot - thank you for your trust, wisdom, and time. I'm leaving with relationships I'm proud of, and I'll be right there cheering as you keep building.

Special shoutout to my former teammates (tagging some here: @michaelcooper1, @jjang236, @aakap22, @marcpion, @jonah_chin) - it’s a privilege to work with them since they’re awesome at what they do.

If you're working on something cool or want to chat, feel free to send me a message!

[Ben Pouladian @benitoz]

Watching my father-in-law battle Alzheimer’s felt like a silent, slow goodbye. Too many families know that pain.

That’s why NVIDIA’s work with C-BRAIN matters to me: 64 GPUs powering research, with BioNeMo and MONAI being incorporated to help scientists study biology and medical images.

Faster research isn’t a cure. But better tools give scientists more chances to find one.

This is AI for good. The goal is more time for families and faster cures!

https://t.co/WTG7qlzRCb

[Amy Kaplan @aakap22]

Having lost a loved one to dementia, this is personal. AI helping researchers move faster, where every advance matters. This is the AI progress I want to see: open, collaborative and focused on improving lives.

https://t.co/wayYXpdnWO

[Linda Vivah (Haviv) @lindavivah]

How open source AI helps doctors plan surgery on a child’s heart 🫀

At @ChildrensPhila (CHOP), Dr. Matthew Jolley’s team models a child’s heart in 3D before surgery: in one case, two repairs had failed until the model clarified the anatomy.

💡 TLDR: open-source AI turns a child’s heart scan into a 3D model in seconds instead of hours, and because the tools are open, other children’s hospitals can use them and build on them.

How a scan becomes a 3D heart 👇
➡️ The team trains AI on scans where researchers already marked the anatomy
➡️ On a new scan it predicts which regions belong to which heart structure (that’s segmentation)
➡️ It runs on MONAI, an open-source medical imaging framework NVIDIA co-founded
➡️ Doctors explore that anatomy in 3D and plan around one specific child’s heart

A modeling step that took a skilled researcher about four hours now finishes in seconds.

Why open source?
Kids’ heart defects are too rare and too varied for traditional device companies to invest in. No single company has built these tools, and no single hospital could build them alone. So Dr. Jolley’s lab built them with the open-source community and made them free to use and build on. Stanford and Boston Children’s now contribute tools alongside CHOP, and more than 20 children’s hospitals in the US run cardiac modeling programs. Each team builds on the others’ progress.

Next: CHOP is working with NVIDIA on physics simulations of how a device will deploy inside a specific child’s heart, with the long-term goal of bringing real-time simulations into clinical workflows.

📚Full story on the NVIDIA blog: https://t.co/iTkzhr10rF

[Healthcare AI Guy @HealthcareAIGuy]

AI x bio has had an insane week.

> Radical Numerics: Omnii-1 designed phages given to a human patient
> Claude: 17 scorpion-toxin binders validated in the lab
> OpenAI: acquired Orchestra Bio
> OpenAI + PerturbAI: agents found new neurodegeneration leads in 32 minutes
> RFD4-Proteina: open programmable protein design model
> BioEmu2: new biomolecular simulation model
> Chaperone: agent framework connecting 50+ protein design tools
> Xaira: launched X-Scientist for agentic drug discovery
> Sophont: Holon-S1 predicts gene activity from pathology slides
> Boltz + BMS: bringing biomolecular models into pharma workflows
> Phylo + Bayer: deploying Biomni Lab across research teams
> Kevin Weil, ex-OpenAI, launches Warp Sciences: AI + robotic labs for drug discovery
> Carbon-X: open DNA model its team says matches GPT-6.1 Sol at ~1,000x lower cost

This is happening across the whole stack: models, protein design, simulation, agents, robotic labs, pathology, pharma workflows, and actual patient use. Bio is becoming computer.

[BioTender @Junioryu136689]

🚨 NVIDIA × Nobel laureate David Baker’s team just unveiled RFD4-Proteina.

Protein design is entering the reasoning era.

The model unifies proteins, noncanonical amino acids, sugars, DNA, and RNA in a shared latent space, enabling iterative refinement and inference-time search.

🧬 10.6% computational success rate on protein binder design benchmarks, with 42× the throughput of BindCraft.

Even more impressive: wet-lab validation includes a de novo designed enzyme for a key step in the synthesis of the HIV drug lenacapavir.

Code and model weights are now available.

🔗 https://t.co/Z06B21fiMC

[NVIDIA Newsroom @nvidianewsroom]

NVIDIA and @UWproteindesign introduce RFD4-Proteina, an open model to design proteins and refine candidates for lab testing, paving the way for new medicines and diagnostics.

Announced at GTC Berlin: https://t.co/Jgt5gYqRNX

[NVIDIA Healthcare @NVIDIAHealth]

🔬 RFD4-Proteina joins Nemotron, Kumo, Cosmos, Alpamayo and Ising in today's NVIDIA open model release.

[NVIDIA Healthcare @NVIDIAHealth]

🧪 @UWproteindesign + 💚 NVIDIA = 👶 RFD4-Proteina

Proud parents ✨ Gifted kid

[Shay Boloor @StockSavvyShay]

$NVDA just ran a record 104-qubit fault-tolerant quantum simulation using 8,192 GPUs at Europe's JUPITER supercomputer validating a technique that could require 90% fewer physical qubits.

This comes as $GOOGL advances same approach on actual quantum hardware and Anthropic uses AI to design more efficient quantum circuits bringing hardware development, AI and classical simulation closer together.

[Brad Gerstner @altcap]

Pod up! Some good nuggets on lab revs, Nvidia supply unlock, AI capex & millions of Nvidia agents to employees as we enter the singularity & recursive flywheel starts spinning. 🧐🇺🇸🚀 @JensenHuang @BG2Pod

[Amy Kaplan @aakap22]

Big day for UK AI: NVIDIA commits $250M in compute over 5 years to advance agentic AI safety & security research and joins the Earthshot Prize to help scale climate solutions. Safer AI, real-world impact. 🇬🇧🌍

https://t.co/V5pYx1Q5Ca

#NVIDIA #ClimateTech #AI

[Steve Nouri @SteveNouri]

Just wrapped up an incredible conversation with @JensenHuang, CEO of @nvidia, here in Paris.

I've been looking forward to this one for a long time.

We went beyond the headlines and explored some of the biggest questions shaping the future of AI:

🔹 AI safety and security

🔹 Open vs. closed models and the economics of AI

🔹 The next AI breakthroughs and bottlenecks

🔹 The AI chip race: Microsoft's latest chip announcement, the evolving competitive landscape, and what comes next.

[Amy Kaplan @aakap22]

Ahead of NVIDIA’s GTC Berlin keynote on Oct. 21, France’s AI ecosystem is turning ambition into action. 🇫🇷 Discover how agentic computing is transforming space, finance, public services and scientific research. https://t.co/qzSotIsKK5

#GTCBerlin #NVIDIA #FranceAI

[Evan Kirstel #B2B #TechFluencer @EvanKirstel]

89% of telecom operators say open models matter to their AI strategy. My take on why, with @nvidia @NVIDIAAI @NVIDIAAIInfra @nvidianewsroom @NVIDIAGTC @SoftBank @indosat @AdaptKeyAI. Let's discuss on @techimpactTV #Telecom #AI https://t.co/etr6Fx5M17

[UW Medicine @UWMedicine]

A new Huang Foundation grant, totaling nearly 7 million hours of compute time, will accelerate @UWproteindesign development of open-source AI models for protein design.

Read the full story from @uwmnewsroom to learn more. https://t.co/GIxN0hcQau

[Amy Kaplan @aakap22]

UW’s Institute for Protein Design is getting nearly 7 million GPU hours from the Huang Foundation to accelerate open-source protein design, cutting AI training from months to days. The goal: new medicines, better vaccines and pollution-fighting enzymes.

https://t.co/9b0bPHJ3wO

#AIforgood #AI #Science

[sophie a @sabbassi_11]

Telcos are just one of the many industries tapping into the benefits of open models, with 89% of operators building using them. @nvidia has been working with companies like @ATT on everything from fine tuning to locally deploying AI. Read more below!

https://t.co/QKQxRqirSv

[Amy Kaplan @aakap22]

AI for good in action: Startups are using AI to help close gaps in breast cancer care-from screening to treatment planning. A powerful example of technology supporting clinicians and putting patients first.

Read the story: https://t.co/XGUpoWH5Uo

#NVIDIA #AIforgood #breastcancerawareness