university of cambridge

AI Mimics Brain’s Efficiency by Emulating Physical Constraints
Device for making solar fuels on the River Cam near the Bridge of Sighs Credit: Chanon Pornrungroj
Producing clean water and clean fuel at the same time with a new solar device
HotGestures give users the ability to build figures and shapes in virtual reality without ever having to interact with a menu, helping them stay focused on a task without breaking their train of thought. CREDIT University of Cambridge
New ways of interacting with technology start to get magical
A team led by scientists at the University of Cambridge has invented a reliable and transparent way of estimating the benefit of carbon stored because of forest conservation. Credit: Marije Schaafsma
Restoring faith in carbon credits via new offset markets
Simulating models of hypothetical time travel can solve experimental problems that appear impossible to solve
Opening the door for vaccines against viruses that we don’t yet know about
The first time carbon-based molecules have been discovered in the atmosphere of an exoplanet in the habitable zone
Researchers are developing a way to incorporate uncertainty into machine learning systems
New faster, denser synapse like memory shows great promise for the rapidly growing AI and machine learning fields
Cross-sectional TEM images and energy-dispersive x-ray measurements from high-angle annular dark-field scanning TEM for different thin films. (A) Pure HfOx deposited at 400°C. Clear crystallites are visible in the film; red arrows indicate some of the grain boundaries. (B) Pure HfOx deposited at 30°C. While these films are not polycrystalline like pure HfOx deposited at 400°C, neither are they as uniform as the composite films presented in (C). (C) The thin films which resulted in stable electrical performance are amorphous or nanocrystalline. Some pillar-like structures can be discerned, indicated by red arrows. The addition of Ba to the films clearly leads to material uniformity by suppressing crystallization. (D) High-angle annular dark-field scanning TEM (HAADF-STEM), zoomed in on some of the pillars. In addition, darker nanoparticles can be discerned throughout the films; four randomly chosen particles are marked by red circles. (E) HAADF-STEM image to indicate the area scanned for EDX and the elemental distribution of Hf and Ba. (F) Line scan EDX results acquired from the area indicated in (E). The dark areas in the HAADF-STEM image contain more Ba than the brighter ones. The ratio between Ba and Hf in the pillars is about 0.25 to 0.33, consistent with the Rutherford backscattering analysis discussed later. Credit: Science Advances (2023). DOI: 10.1126/sciadv.adg1946
A new device that processes data in a similar way as the synapses in the human brain
Using just thin air and plastic waste to produce clean sustainable fuels
Could a robotic ‘chef’ watch and learn from cooking videos and actually recreate the dish itself
Instantly usable liquid fuels made directly from solar power
The Fabric Revolution Begins With Revolutionary Smart Textiles
Restoring function in paralysed limbs with a biohybrid device