SoftBank Group's $200 million investment in Swiss startup Gravis Robotics marks another major robotics bet as founder Masayoshi Son seeks to make the company a pivotal player in the global AI race. SoftBank Group has invested $200 million in Gravis Robotics, a Swiss startup that makes autonomous software for construction machinery. Zurich-based Gravis announced the Series A investment in a statement on Monday but didn't share a valuation. It was reported in July that SoftBank was considering an acquisition of Gravis that might be completed in several stages, which includes injecting fresh capital over time. The deal marks another splashy investment into robotics from SoftBank, whose founder, Masayoshi Son, is trying to make his firm a pivotal player in the global artificial intelligence race. The Japanese investor, which by October is set to own a 13% stake in OpenAI, has backed a range of robotics businesses, including with the acquisition of ABB's industrial unit last year.

Improving energy performance can effectively extend the time a robot can operate and reduce battery load, enabling lighter, more flexible, and more durable robotic systems. Nature has evolved optimal energy-saving locomotion strategies through billions of years of natural selection, providing unparalleled blueprints for robotic optimization. Among diverse modes of aquatic locomotion, intermittent swimming, also called bout-and-glide swimming, is a widespread adaptive behavior in aquatic organisms of a wide range of sizes, including larval zebrafish, red-nose tetra, koi carp, and even whales. This natural bout-and-glide gait features alternating motion phases: short periods of active body and tail undulation for propulsion, followed by passive gliding with a streamlined, straight body posture. It is widely recognized that this intermittent swimming gait is closely associated with optimizing biological energy, making it of great research value to transplant and explore such natural motion mechanisms into robotic control systems.

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When a fish holds its position against a current in a river, its brain must figure out how fast to swim and how to steer to offset the water flow. Most fish use vision to register the world sliding past, detect optic flow speed and direction, and their brains turn these signals into compensatory swimming. The retina captures signals of optic-flow direction, central pretectal neurons interpret direction, and spinal nerves drive muscle contractions. The catch is that one cannot easily change the living brain to test how these circuits work. Although advances in imaging now allow detailed recording, and even manipulation, of neurons alongside behavior, rewiring connections to ask what a particular link actually does remains almost impossible in the living, complex animal.

In fact, nanorobotics has become a rapidly growing field of research. It is considered a promising approach, for example, for delivering active substances to specific locations in the body. Unlike their larger-scale counterparts, they are not made of electronics, computer chips, and software, but rather of biomolecules and nanoparticles. Researchers led by Prof. Dr. Cornelia Palivan from the University of Basel are now reporting on a sophisticated modular nanorobot with greater functional flexibility than many existing systems. "Previous nanorobots are often designed for a specific task only," says Cornelia Palivan.

A logo of Meta AI appears on a screen at the World Economic Forum in Davos, Switzerland, in 2025. A logo of Meta AI appears on a screen at the World Economic Forum in Davos, Switzerland, in 2025. Meta said on Wednesday that one of its AI models hacked another company during cybersecurity testing, after an error by its testing partner gave the model unintended internet access. The incident adds to a growing list of cases in which AI agents from major developers breached systems at other companies during testing, after Anthropic said last week that some of its models hacked three companies, and OpenAI disclosed that an AI agent breached the startup Hugging Face. AI models have been going rogue in tests - how worried should we be?

A routine check-up at the dentist ends with bad news: tooth decay has left a large cavity, and the tooth needs a crown. The treatment requires several follow-up appointments. During the first appointment, the dentist removes the decay, fills the cavity and prepares the tooth for the crown. She then takes an impression and fits a temporary crown. The permanent crown is produced based on the impression and can only be placed at a later appointment.

A tiny dental robot called MIR could automate crown preparation and reduce dental visits. The University of Basel prototype uses digital dentistry for tooth preparation.

Loons, gulls, puffins, and petrels are some of the 100 species of birds that can both fly and swim. These diving birds can plunge in water to swim after prey, and then leap back into the air to fly away. Now, inspired by these naturally aquatic aviators, engineers at EPFL and MIT have designed a robot that can swim underwater, and flap out of the water to continue flying through air, much like diving birds. The "flapping-wing aerial-aquatic vehicle," or FAAV, weighs less than 300 grams and is designed to help scientists study the mechanics that enable diving birds to fly through air and water. The robot has a central body, or fuselage, two flexible, flapping wings, and a steerable tail.