SSchmidt Sciences is a philanthropy that funds and accelerates science and technology by identifying under-supported or unconventional areas of exploration and discovery. It seeks ideas, people, and techniques across AI and Advanced Computing, Astrophysics and Space, Biosciences, Climate, and Cross-Science programs to catalyze results for society. Its way of working is through funding, fellowships, and collaborative programs that support researchers and projects across disciplines, rather than selling a product. The organization differentiates itself by focusing on overlooked or risky areas and by fostering cross-disciplinary collaboration to deepen understanding of the natural world and develop solutions to global issues. The goal is to advance scientific knowledge and practical technologies that address global challenges and benefit society at large.
Work here?Claim your company
Industries
Company Size
N/A
Company Stage
N/A
Total Funding
N/A
Headquarters
N/A
Founded
N/A
See people who can refer or advise you
Help us improve and share your feedback! Did you find this helpful?
These 27 exoplanets might soon be seen directly by the first-ever private Space Telescope. Schmidt Sciences' Lazuli is set to do a lot when it launches in 2029. This could be a really good project! DR. ALFREDO CARPINETI Space & Physics Editor Alfredo has a PhD in Astrophysics and a Master's in Quantum Fields and Fundamental Forces from Imperial College London.View full profile Edited by Laura Simmons Most of the planets that have been discovered and observed so far have been seen indirectly. Seeing planets directly is a complicated affair, but the next generation of telescopes might change that. Among them, there's Lazuli, a new space telescope from Schmidt Sciences that will be the first-ever private space telescope. It will launch in 2029. The announced design, shared earlier this year, shows that Lazuli has a primary mirror that is larger than the Hubble Space Telescope. It will observe the sky in 23 colors, from optical to infrared, and will be equipped with a spectrograph to work out the chemical composition of celestial objects. One other exciting tool at its disposal will be the ExtraSolar Coronagraph instrument (ESC). This instrument blocks the sunlight of distant stars so that the telescope can capture the starlight reflected on the planets that orbit around it. This is easier said than done. Planets can be a billion times dimmer than their star - like trying to spot a firefly while looking directly into a search beam! The telescope will look for giant planets, and Logan Pearce from the University of Michigan and Ewan Douglas from the University of Arizona have compiled in a new preprint a list of "ideal" candidates. There are 27 planets on their list, which has been submitted to peer review. These objects are worlds whose properties have not been really probed directly before. Or not at this level of precision, like in the case of the Beta Pictoris system. The list is a proposal; it doesn't mean that Lazuli will actually look at these specific objects. The telescope will be able to study cool giant planets similar to the ones in the Solar System. Going beyond the current instruments. Due to the limitations of current telescopes in both time and approach, the hottest gas giants are the ones usually studied in detail. ESC could be the game-changer on that front. The telescope should be able to provide insights into these distant planets' atmospheres. Currently, IFLScience mostly study the atmospheres of hot Jupiters, gas giants that are very close to their stars. These are very different from the giant planets of the Solar System. Lazuli will work in concert with the three other instruments being developed by Schmidt Sciences, including two ground-based optical arrays, Argus and LFAST, and a radio observatory called the Deep Synoptic Array (DSA). The four will work together and independently. "Part of why we're calling this a system is because they will be interoperable," astronomer Arpita Roy, director of astrophysics and space at Schmidt Sciences, previously told IFLScience. "You find something with Argus, you can seamlessly follow it up with LFAST or Lazuli. There will be software and data centralized for the Schmidt observatories, so you go to one place, and you can get all of the data from the observatories and also hopefully, we think, connect to other datasets as well. So you can cross-analyze Rubin and Argus, for example." A milestone and a stepping stone. Several of the proposed objects will be visible to the Nancy Grace Roman Telescope and the upcoming Extremely Large Telescope, which will expand what IFLScience know of these objects. And this work will be crucial for future surveys trying to directly image an Earth-sized planet. The preprint is available on the arXiv. ORIGINALLY PUBLISHED 2 days ago Add IFLScience as a Google preferred source to see more of its trusted coverage in Search
Ocean sulfur cycling symposium reunites global Researchers at Bigelow Laboratory. * 16 October 2026 * Edited By: Haley McQueen Researchers from around the world convened at Bigelow Laboratory from October 12-15 for the seventh DMS(P) Symposium, the first time the meeting had been held since 2014. Researchers from around the world gather outside Bigelow Laboratory for the seventh DMS(P) Symposium. (Image credit: Bigelow Laboratory for Ocean Sciences) The symposium brought together nearly 50 experts studying dimethylsulfoniopropionate, or DMSP, a sulfur-containing compound produced by phytoplankton that plays important roles in ocean ecosystems and the global climate system. "We are delighted to have brought the DMS(P) community together again," said Steve Archer, a senior research scientist at Bigelow Laboratory and lead of the organizing committee. "It's a wonderful mix of expertise and personalities from across the globe, and is always scientifically productive." Phytoplankton and other marine organisms synthesize DMSP, which can help them cope with environmental stress. In the ocean, DMSP and the compounds produced as it breaks down also serve as nutrients and chemical signals that shape interactions among microorganisms. Notably, DMSP is also the primary source of dimethyl sulfide, or DMS, a gas that can escape from the ocean into the atmosphere. Once there, DMS contributes to the formation of atmospheric particles that can form clouds and, ultimately, influence Earth's climate at large. "It is a fascinating and ever-evolving scientific story," Archer said. "But we know the production and transformation of this molecule plays a major role in shaping the environment we inhabit." The symposium examined these processes from the molecular scale to their global implications, including how phytoplankton and bacteria produce and transform DMSP, how these processes affect carbon and sulfur cycling, and how sulfur compounds move between the ocean and atmosphere. The meeting also provided an opportunity for scientists to connect observations of these processes with the models used to understand Earth's climate system. Archer co-chairs a Scientific Committee on Oceanic Research (SCOR) working group focused on compiling measurements of the rates at which sulfur compounds are transformed to help incorporate these processes into Earth system models. Bigelow Laboratory has a longstanding connection with DMS(P) research. Maureen Keller, a former research scientist at Bigelow Laboratory, conducted foundational research to determine which marine algae produce DMSP and related compounds. "Maureen Keller conducted the first, and most complete, survey of phytoplankton species for their production of DMSP and DMS using cultures from Bigelow Laboratory," said Paty Matrai, a senior research scientist emerita involved in the event. "Those discoveries are still the basis of regional and global models to estimate how much DMS(P) is produced by marine phytoplankton as a function of their growth rate and environmental conditions, such as light, temperature and nutrients." The event included multi-day workshops and working groups on topics ranging from the atmospheric impacts of DMSP and DMS to the role of DMSP in bacterial behavior and communication. Researchers also examined how environmental change may alter DMSP production and transformation in the ocean. "It is an incredibly important moment to be studying the ways in which processes like ocean mixing, air-sea spray, microalgal growth, and wind speed will change in our warming world," Matrai said. "We need to know how much cooling - if any - will result from ocean DMS(P) cycling to clouds." The event honored the legacy of Ronald P. "Ron" Kiene, a University of South Alabama scientist who was a leading researcher in the field of marine sulfur cycling and DMSP. Kiene passed away in 2019. The seventh DMS(P) Symposium was hosted by Bigelow Laboratory in collaboration with the Ocean Carbon & Biogeochemistry (OCB) Program; Schmidt Sciences: Climate; the Scientific Committee on Oceanic Research (SCOR); and the Surface Ocean-Atmosphere Study (SOLAS).
Teams of AI agents can abandon English and develop their own languages that humans cannot understand, according to research from Schmidt Sciences' AI Agents Evolving Communication and Coordination programme. The findings come from GlossoGen, an open-source platform developed by researchers at the University of Texas at Austin and the University of Edinburgh, with engineering by AE Studio. In controlled experiments, agents communicating in plain English developed new vocabularies and grammars over repeated task rounds. One instruction that began as a full English sentence later became "@D8fB", a string with no English meaning that other agents understood and acted upon. The researchers warn this poses challenges for AI safety practices that depend on humans reading agent communications. New languages emerged only under specific conditions: agents needed pressure to communicate efficiently, opportunities to adjust strategy between rounds, and access to the most capable current models.
METR has raised approximately $71 million in commitments over the past six months. The funding will support projects including studying autonomous AI capabilities, tracking recursive self-improvement, evaluating monitoring systems, conducting risk assessments, and investigating AI incidents. Major supporters include The Audacious Project, individuals from Jane Street, and foundations such as the Sijbrandij Foundation, The Pew Charitable Trusts, Schmidt Sciences, and the Packard Foundation. Individual donors include David Farhi, Geoff Ralston, Dylan Field, and Steve Newman. METR maintains independence from frontier AI companies and does not accept their funding or donations from their staff. The organisation is expanding its team and launching new projects whilst conducting cutting-edge tests of AI capabilities.
$10m funding call launched with Schmidt Sciences, Google DeepMind, and ARIA. How do Cooperativeai ensure safety in a world with millions of interacting agents, built and deployed by many different actors? Today, the Cooperative AI Foundation - in partnership with Schmidt Sciences, Google DeepMind and Advanced Research and Invention Agency, and supported by Google.org - is announcing a new technical research fund of up to $10m for researchers worldwide. Cooperativeai is offering funding of up to $300,000 (Tier 1) and up to $1,000,000 (Tier 2) for independent or academic researchers and institutions to address the risks emerging from large-scale ecosystems of interacting AI agents, deployed by multiple actors. Applications are now open, with a submission deadline of 9 August AoE. Awardees are expected to be announced in Autumn 2026. More technical details and the application process can be found here. Why this matters. While most present-day cases involve teams of agents orchestrated by a single actor (or 'principal'), Cooperativeai is beginning to see the emergence of more complex ecosystems of agents deployed by different actors across shared digital infrastructure. These multi-principal, multi-agent interactions create new opportunities for cooperation and shared benefit, but also new risks, which means focusing only on the safety and alignment of individual models is insufficient. While some of these problems will be addressed by market forces, Cooperativeai expect others to fall through the gaps. This funding call aims to fill those gaps, catalysing the foundational scientific research needed to understand, evaluate, and control risks emerging from large-scale ecosystems of interacting AI agents, deployed by multiple actors. Research areas. Cooperativeai welcome proposals in four priority areas, and Cooperativeai anticipate some opportunities for collaboration between teams addressing different areas: * Sandboxes and testbeds: Building realistic, reproducible environments to evaluate, compare and accelerate progress across all areas of multi-agent safety. This includes virtual marketplaces, simulated ecosystems and multi-organisation workflows. * The science of agent networks: Understanding the safety-relevant properties of interacting agent populations, including investigating how collective capabilities emerge and scale, how networks fail or become volatile and how to detect dangerous, unexpected population-level properties. * Strengthening agent infrastructure: Stress-testing the protocols for identity, reputation and commitment that secure cross-platform agent interactions. * Oversight and control: Developing methods to monitor deployed agent populations and mitigate collective harms at scale. About the partners. Google DeepMind is an artificial intelligence research laboratory. Schmidt Sciences is a philanthropic organisation that funds unconventional research in science and technology. The Cooperative AI Foundation is a charitable entity supporting research that will improve the cooperative intelligence of advanced AI for the benefit of all. The Advanced Research and Invention Agency (ARIA) is a UK R&D funding agency built to unlock scientific and technological breakthroughs that benefit everyone. Google.org is the charitable arm of Google. It provides funding, programmes, and technical expertise to accelerate the missions of nonprofits in specific focus areas such as scientific progress. June 11, 2026 Lewis Hammond Research director. (C) Cooperative AI Foundation 2025 The Cooperative AI Foundation is registered with the Charity Commission for England and Wales under charity number 1201294, and incorporated as a company limited by guarantee established in England for charitable purposes only under company number 13485176. Its registered address is Courtenay House, Pynes Hill, Exeter, EX2 5AZ.
Find jobs on Simplify and start your career today
Don't see your dream role? Check out thousands of other roles on Simplify.Browse all jobs
Industries
Company Size
N/A
Company Stage
N/A
Total Funding
N/A
Headquarters
N/A
Founded
N/A
Find jobs on Simplify and start your career today
Don't see your dream role? Check out thousands of other roles on Simplify.Browse all jobs