For Small Businesses

$250 million, 300 scientists and 40 labs: Sean Parker’s revolutionary project to ‘solve’ cancer

The collaboration, which will be formally announced Wednesday, focuses on immunotherapy -- an area of research that many believe represents the future of cancer treatment.

Most of the funding of research efforts I've been involved in since ARPA-Parc have been with various profit making companies -- Atari, Apple, Disney, HP, SAP, Infosys, etc. And there have been various kinds of compromises involved. And some good work on smaller scales did get done. Others of my colleagues in the diaspora that started in the early 80s wound up at Microsoft, DEC, IBM, Bell Labs, etc.

Meet Biomni – an AI-powered biomedical co-scientist

In creating a comprehensive, AI-enabled research agent for the biomedical sciences, Stanford researchers hope to speed innovation by eliminating the tedium of scientific legwork.

How the Protocol Institute is Adopting AI

What building a research institute at 100% adoption actually looks like

Measuring AI’s capability to accelerate biological research in the wet lab

OpenAI introduces a real-world evaluation framework to measure how AI can accelerate biological research in the wet lab. Using GPT-5 to optimize a molecular cloning protocol, the work explores both the promise and risks of AI-assisted experimentation.

DR Tulu: An open, end-to-end training recipe for long-form deep research | Ai2

We introduce Deep Research Tulu (DR Tulu), an open post-training recipe and framework for long-form deep research agents.

Research Scientist – World Modeling

WHO WE ARE Percepta’s mission is to transform critical institutions with applied AI. We care that industries that power the world (e.g. healthcare, manufacturing, energy) benefit from frontier technology. To make that happen, we embed with industry-leading customers to drive AI transformation. We bring together: https://challenge.percepta.ai - Forward-deployed expertise in engineering, product, and research - Mosaic, our in-house toolkit for rapidly deploying agentic workflows - Strategic partnerships with Anthropic, McKinsey, AWS, companies within the General Catalyst portfolio, and more Our team is a quickly growing group of Applied AI Engineers, Embedded Product Managers and Researchers motivated by diffusing the promise of AI into improvements we can feel in our day to day lives. Percepta is a direct partnership with General Catalyst, a global transformation and investment company. ABOUT THE ROLE As a Research Scientist - World Modeling at Percepta, you'll build the systems that let us understand an operation at its full complexity. Real operations rarely arrive as clean, structured data: the ground truth about the operation lives scattered across claims, clinical notes, call transcripts, contracts, and the tacit judgment of operators. You'll build models and agents that learn to compress this mess into a tractable, continuously-updated representation — effectively a digital twin of the operation — that forecasters, user models, and optimizers downstream can all reason and plan against. RESPONSIBILITIES - Design and build learned world models that compress messy, multi-modal operational data (notes, transcripts, contracts, telemetry) into tractable, decision-relevant representations. - Model the transition dynamics of real operations — how a workforce, facility, or network evolves state-to-state — so downstream systems can run counterfactuals before a decision touches a real person or asset. - Build and validate digital twins of customer operations, benchmarked against replayable, real-world testbeds with defensible ground truth. - Partner closely with the forecasting and optimization teams to ensure your representations are the right substrate for calibrated predictions and for finding optimal actions. - Bridge research into practice by partnering with engineers to deploy world models into live customer environments and push toward end-to-end production systems. You may be a good fit if you: - PhD degree in Computer Science, Operations Research, Industrial Engineering, or Applied Mathematics or have equivalent research/industry experience. - Have depth in simulation or world modeling - Have experience in novel machine learning techniques for control and optimization, including test-time search and reinforcement learning for sequential decision-making. - Are comfortable implementing and debugging large-scale optimization systems, and designing benchmarks with real, defensible ground truth. - Are motivated by impact in critical industries including healthcare, supply chains, energy, and finance. - Have a proven track record of execution. - Are an excellent communicator with both technical and non-technical stakeholders. - Enjoy extreme ownership. - Are passionate about AI's transformative potential ABOUT OUR TEAM As an organization, Percepta is committed to inclusion and belonging, and our people are our greatest investment! We’re working against an incredibly ambitious mission. It won’t be easy, but it will likely be the most fulfilling work of your career. In addition to competitive compensation, equity, 401(k) matching, comprehensive health and family benefits, and lunch every day, we offer a culture built on autonomy and trust. We strongly believe that the boldest solutions come from teams who dream bigger together, and that means bringing in people from every kind of background, experience, and path. We are an office-first team that values the impact of in-person collaboration, but we focus on outcomes over outputs—believing that we are each responsible for solving the "whole problem" to make our customers win. If you don't check every box on this description but you care deeply about the problems we're tackling, seeking the truth, and wanting to own outcomes alongside a team that has your back, then we want to hear from you! We know self-doubt keeps great people from applying, so please don't count yourself out before we've had the chance to meet you. Tackling the hardest problems takes a range of perspectives in the room, and we believe that's how we build something truly game-changing. Our company values are more than just words on a page. They inform how our team shows up every day: OUR VALUES Dream bigger: We have the unique privilege of taking on the most ambitious problems and we should chase them with optimism, responsibility, and genuine belief that we can make it happen. We have to embrace the hard things when no one else will. Heart in the game: What we're doing matters and we have to give a shit. Internally, that means fixing badness when you find it. Externally, it means honoring the trust our customers place in us with their most important problems. This isn’t a 9-5, nor is it a job we’re ever going to monitor your hours. We promise to put work in front of you that matters and in return, we ask you to promise to care. Win for the customer: Everyone is an engineer and the job of an engineer is to deliver outcomes, not outputs. Everything we do—the products we build, the partnerships we launch, the strategy we set—exists to make our customers successful. Delivery is the strategy. Make the call: Organizations are only as strong as the pace at which they make decisions. Everyone at Percepta should feel empowered to commit and shape the ambiguity in front of them. But "make the call" cuts both ways: make the decision and make the phone call. High-agency decision-making only works with high-bandwidth communication and we commit to never operate in silos. Intensity with kindness: We believe in excellence in execution, candor in feedback, ruthlessness in prioritization, and survivalist urgency. We also believe you don't need to be an asshole to deliver on any of this. The trust built through shared kindness and vulnerability is what makes the intensity sustainable. Percepta is proud to be an equal opportunity employer and we evaluate every qualified applicant on their merits and give equal consideration for employment regardless of race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, veteran or uniformed service status, age, or any other characteristic protected under applicable law. Percepta provides reasonable accommodations to qualified applicants and employees in accordance with federal and applicable state law.

Using X-Labs to Unleash AI-Driven Scientific Breakthroughs | IFP

How to adapt our science funding mechanisms to the unique infrastructure needs of large-scale AI projects

AI linked to explosion of low-quality biomedical research papers

Analysis flags hundreds of studies that seem to follow a template, reporting correlations between complex health conditions and single variables based on publicly available data sets.

The FDA Sentinel Real World Evidence Data Enterprise ( RWE ‐ DE )

Purpose The US Food and Drug Administration's Sentinel Innovation Center aimed to establish a query-ready, quality-checked distributed data network containing electronic health records (EHRs) linked...

The FDA Sentinel Real World Evidence Data Enterprise ( RWE ‐ DE )

Purpose The US Food and Drug Administration's Sentinel Innovation Center aimed to establish a query-ready, quality-checked distributed data network containing electronic health records (EHRs) linked...

OpenAI debuts a life sciences AI model, entering crowd of tech giants selling to pharma

OpenAI became the latest tech giant to launch a life sciences-focused AI offering, aiming to build a biopharma business.

Civic Health Project

Technology can connect or divide us. At Civic Health Project, we're dedicated to advancing massively scalable solutions to society's dangerous divisions.

ArXiv to Ban Researchers for a Year if They Submit AI Slop

The change comes as arXiv and others struggle to manage an influx of AI-generated materials masquerading as rigorous science.

Open-Source EDA Birds-of-a-Feather: Open-Source EDA, Data and Collaboration Summit

This “Open-Source EDA, Data and Collaboration” Birds-of-a-Feather session is the seventh in a series that began at DAC 2018. As semiconductor design confronts the mounting complexities of advanced nodes, Augmented AI is transitioning from an experimental concept to an indispensable engineering co-pilot. The DAC 2026 session explores the transformative intersection of AI, open-source software and hardware, and the engineers who build them, serving as an informal forum for anyone to share ideas and the latest updates on our open-source ecosystem.