The PoliTO Hub will develop joint projects in energy transition, artificial intelligence, smart cities, transportation, architecture, and urban planning.
At the 6th FAPESP 2026 Conference, the quantum technologies coordinator at Brazil’s largest private bank demonstrated how current research can reveal applications, anticipate risks, and develop expertise in a technology that has yet to reach large-scale commercial use.
Developed at the Brazilian Center for Research in Energy and Materials, this technology enables the three-dimensional cultivation of cells and allows for a more accurate assessment of the toxicity of drugs, nanomaterials, and pollutants.
A mathematical model developed by researchers at the State University of Campinas reveals that small fluctuations in the electrical potential difference can characterize electrode microstructure and help monitor battery degradation.
The technology developed at the University of São Paulo keeps strontium particles isolated, paving the way for the production, manipulation, and entanglement of qubits.
Developed at the Institute of Food Technology with support from FAPESP, the innovation could serve as an alternative to proteins from soybeans or peas, which are largely imported.
Report indicates that, rather than competing in areas such as artificial intelligence, science-based startups should prioritize regional strategic assets, such as biodiversity, to develop unique solutions that are difficult to replicate globally.
Startup develops a sensor that measures interactions between molecules with high precision, which can reduce the time and costs of discovering drug candidates.
Study involving the Center for the Development of Functional Materials was published in the journal Ceramics International.
Study involving the Center for the Development of Functional Materials was published in the journal Ceramics International.
Work by researchers at a FAPESP-supported research center may open promising avenues for applications in photocatalysis, optoelectronics, and photonics.
Artificial intelligence and genomic tools transform field data into economic forecasts for cattle, chickens, and fish.
Artificial intelligence and genomic tools transform field data into economic forecasts for cattle, chickens, and fish.
The free app turns a smartphone into an interactive guide for ecotourism.
Led by a Brazilian researcher, a study published in Nature shows that molecules with nearly identical three-dimensional structures can exhibit completely different behaviors over time.
A São Paulo-based startup has identified 129 new research targets that could lead to new methods for diagnosing and treating the disease.
Open database developed by FAPESP Applied Research Center reduces barriers to implementation of technological innovations.
With support from FAPESP, a São Paulo-based company is developing its own technology to manufacture a coating in Brazil that will make gas storage tanks, such as those for hydrogen, up to 70% lighter, thereby reducing transportation weight.
An analysis of the trajectories of more than 400 entrepreneurs supported by FAPESP shows that international experience helps circulate knowledge and is crucial for the success of technology-based businesses in São Paulo.
The FAPESP-backed health tech company is now headquartered in Switzerland and is developing a platform to produce tissues in a lab. The goal is to obtain clinical approval for transplantation within ten years.
In systems inspired by neural networks and synapses, an oxide-based structure combines processing and memory into a single component, with the potential to reduce energy consumption and increase efficiency.
The 3D-printed, titanium-based multilayer structure combines two generally contradictory properties: strength and ductility.
FAPESP-backed startup forecasts water availability from springs to support decision-making in scenarios of irregular rainfall.
FAPESP-backed startup forecasts water availability from springs to support decision-making in scenarios of irregular rainfall.
Autonomous learning technology developed by a FAPESP-supported startup filters out irrelevant images and reduces human error in surveillance.
