Lifeboat Foundation

Researchers found that chimpanzees and bonobos can recognize former groupmates they haven’t seen for over 25 years, showing more attention to those they had positive relationships with.

This study, conducted with apes at various zoos and sanctuaries, used eye-tracking technology to measure apes’ responses to photographs of familiar and unfamiliar individuals.

The findings suggest that such enduring social memory in apes could have played a foundational role in the evolution of human culture and interpersonal relationships.

3D atomic details of next-generation alloys.

Hybrid ‘biocomputer’ performs simple calculations, recognizes speech, albeit imperfectly.

Mercedes wants integrated turquoise lights to be the universal sign for autonomous driving.

An X user discovered a “Wade Mode” for the Cybertruck that lets it drive through water and Elon Musk now says there’s going to be a “mod package” that lets the EV pickup travel at least 100 meters of water as a boat.

A groundbreaking study conducted by a team of international scientists has unveiled unprecedented insights into the nature of the asteroid Ryugu and shed light on the composition of water-and carbon-rich small bodies in the solar system.

Asteroids like Ryugu are remnants of planetary embryos that never reached larger sizes, making them invaluable windows into materials that formed in the early solar system.

The study centered on laboratory measurements of the samples brought back to the Earth by the Hayabusa2 spacecraft in 2020.

Combating the rise of facial-recognition technology, designers have created clothing and accessories to help to conceal people’s identities.

The fascinating patterns of 35 repeating fast radio bursts (FRBs) reveal new properties of these mysterious blasts of deep-space radiation that appear and disappear in milliseconds.

A team of researchers around Berlin mathematics professor Michael Joswig is presenting a novel concept for the mathematical modeling of genetic interactions in biological systems. Collaborating with biologists from ETH Zurich and Carnegy Science (U.S.), the team has successfully identified master regulators within the context of an entire genetic network.

The research results provide a coherent theoretical framework for analyzing biological networks and have been published in the Proceedings of the National Academy of Sciences.

It is a longstanding goal of biologists to determine the key genes and species that have a decisive impact on evolution, ecology, and health. Researchers have now succeeded in identifying certain genes as master regulators in biological networks. These key regulators exert greater control within the system and steer essential cellular processes. Previous studies have mainly focused on pairwise interactions within the system, which can be strongly affected by genetic background or biological context.