What methods and simulations can engineers use to accurately test rovers that are used on other worlds like the Moon and Mars? This is what a recent study | Space
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“Unlimited range” stealth ebike never needs plugging in
:3year 2019
If e-bikes tend to look a little ungainly for your tastes, check out this thing from Barcelona’s Nua Bikes. With the motor, sensors and battery built into a discreet hub unit, the Nua Electrica is barely distinguishable from a regular fixie, and its innovative “self-charging” mode means you can get away without ever charging it.
Weighing in at just 13 kg thanks to a full titanium frame, the Nua Electrica is the stealthiest single-speed e-bike we’ve seen to date. It uses a very cool motor/battery combo unit that we suspect we’ll be seeing a lot more of in the coming months and years.
The Zehus Bike+ is an all-in-one hub unit that weighs just 3 kg (6.6 lb) and fits into any frame with a rear wheel dropout 120 mm (4.7 in) or wider. It contains a 250-watt motor, a 160-watt-hour battery, several sensors, a Bluetooth communications system and all the electronics required to run an e-bike.
New device converts plastic waste into fuel using catalyst-free pyrolysis
As tons of plastic waste continue to build up in landfills every day, Yale researchers have developed a way to convert this waste into fuels and other valuable products efficiently and cheaply. The results are published in Nature Chemical Engineering.
Specifically, the researchers are using a method known as pyrolysis, a process of using heat in the absence of oxygen to molecularly break materials down. In this case, it’s used to break plastics down to the components that produce fuels and other products. The study was led by Yale Engineering professors Liangbing Hu and Shu Hu, both members of the Center for Materials Innovation and Yale Energy Sciences Institute.
Conventional methods of pyrolysis often use a catalyst to speed up the chemical reactions and achieve a high yield, but it’s a method that comes with significant limitations.
Curved neural networks enable AI memory recall through geometric design
A new international study has introduced Curved Neural Networks—a new type of AI memory architecture inspired by ideas from geometry. The study shows that bending the “space” in which AI “thinks” can create explosive memory recall—an effect similar to a lightbulb moment in the human brain. The research opens new paths for brain-inspired computing, neuroscience, and even next-gen robotics, offering tools to better understand memory itself.
What if artificial intelligence could remember things not just well, but faster or more reliably? A new international study has introduced a novel type of AI memory —one that addresses the challenge not with more data, but with geometry.
A team of researchers from the Basque Center for Applied Mathematics (BCAM), Araya Inc., the University of Sussex, and Kyoto University has developed a new class of AI models called Curved Neural Networks.
Powering up T cells: A new path in cancer immunotherapy
Researchers have discovered a way to make the immune system’s T cells significantly more effective at fighting cancer. By blocking a protein called Ant2, they were able to reprogram how these cells consume and generate energy—essentially rewiring their internal power supply.
This shift makes T cells more active, resilient, and better at attacking tumors. The findings open the door to new treatments that could strengthen the body’s own immune response, offering a smarter, more targeted approach to cancer therapy.
Led by Ph.D. student Omri Yosef and Prof. Michael Berger from the Faculty of Medicine at Hebrew University, in collaboration with Prof. Magdalena Huber of Philipps University of Marburg and Prof. Eyal Gottlieb of the University of Texas MD Anderson Cancer Center, the international team discovered that fine-tuning immune cells’ metabolism dramatically improves their ability to destroy cancer.
