A groundbreaking new material made from barley starch blended with fiber from sugarbeet waste—a robust substance that composts if it ends up in nature—has been developed at the University of Copenhagen. In the long term, the researchers hope that their invention can help curb plastic pollution while reducing the climate footprint of plastic production.

Enormous islands of plastic float in our oceans, and microscopic particles infiltrate our bodies. The durability, malleability, and low cost of plastics have made them ubiquitous, from packaging to clothing to aircraft parts. However, plastics have significant downsides: they contaminate nature, are difficult to recycle, and their production emits more CO2 than all air traffic combined.

Researchers at the ATLAS Institute at the University of Colorado Boulder have developed an innovative DIY machine that produces textile fibers from sustainable materials, such as gelatin. This machine could revolutionize the fashion industry by offering a solution to the significant environmental impact of textile waste.

Led by doctoral student Eldy Lázaro Vásquez, the research team has created a machine capable of spinning textile fibers from gelatin, a protein commonly derived from animal byproducts. These fibers feel similar to flax and can dissolve in hot water within minutes to an hour, providing a sustainable alternative to traditional textiles, which often end up in landfills.

Wayve, a leading innovator in Embodied AI for self-driving technologies, has announced the launch of PRISM-1, a groundbreaking 4D reconstruction model designed to significantly enhance the testing and training of its Advanced Driver Assistance Systems (ADAS) and autonomous driving technology. PRISM-1 represents a major advancement in 4D reconstruction, enabling scalable and realistic resimulations of complex driving scenes with minimal engineering or labeling input.

First showcased in December 2023 through Wayve’s Ghost Gym neural simulator, PRISM-1 employs novel view synthesis to create precise 4D scene reconstructions (3D in space plus time) using only camera inputs. This method promises to revolutionize simulation for autonomous driving by accurately and efficiently simulating the dynamics of complex and unstructured real-world environments. PRISM-1 powers the next generation of Ghost Gym simulations and departs from traditional methods that rely on LiDAR and 3D bounding boxes. Instead, it uses novel view synthesis techniques to accurately depict moving elements such as pedestrians, cyclists, vehicles, and traffic lights, capturing precise details like clothing patterns, brake lights, and windshield wipers.

Researchers from Tokyo Tech and the National Institute of Information and Communications Technology (NICT) have unveiled a revolutionary D-band CMOS transceiver chipset, which boasts a 56 GHz signal-chain bandwidth and has achieved an unprecedented wireless transmission speed of 640 Gbps through integrated circuits. This innovative chipset holds immense potential for the advancement of next-generation wireless systems.

The demand for faster data speeds and the management of increasing data traffic are driving wireless systems to operate at higher millimeter-wave frequency bands. Current high-band 5G systems already provide impressive speeds up to 10 Gbps within the 24-47 GHz frequency range. However, future mobile communication systems aim to explore even higher frequencies, with the D-band (110 to 170 GHz) anticipated to play a crucial role in the evolution of wireless technology.