Apple CEO Tim Cook is signaling that Visual Intelligence will be the defining feature of the company’s push into wearable AI devices. Also: What to expect from Apple’s first product launches of the year during the week of March 2; the iPhone 18 Pro’s color options; and the latest on iOS 26.4.
Last week in Power On: Tesla CarPlay support was held back by the need for wider adoption of iOS 26.
A few blobs of lab-grown brain tissue have demonstrated a striking proof of concept: living neural circuits can be nudged toward solving a classic control problem through carefully structured feedback.
In a closed-loop system that delivered electrical feedback based on performance, cortical organoids could steadily improve their control of a classic engineering benchmark: balancing an unstable virtual pole.
The improvement is far from a functioning hybrid biocomputer. But as a proof of concept, it shows that neural tissue in a dish can be adaptively tuned through structured feedback – a result that could help researchers probe how neurological disease alters the brain’s capacity for plasticity.
Immediately after the Big Bang boomed, the Universe was a trillion-degree ‘soup’ of unimaginably dense plasma. In a breakthrough experiment, researchers have found the first evidence that this exotic primordial goo did actually slosh and swirl like soup.
In slightly more scientific terms, this gooey soup is called quark-gluon plasma, or QGP. It was the first and hottest liquid ever to exist. Predictions suggest it blazed a billion times hotter than the surface of the Sun for a few millionths of a second before it expanded, cooled, and coalesced into atoms.
As detailed in a recent study, a team of physicists from MIT and CERN recreated heavy-ion collisions like those that created the QGP to explore its properties. For example, when a quark flows through the plasma, does it recoil and splash like a cohesive liquid, or does it scatter randomly like a collection of particles?
Researchers at the Niels Bohr Institute have significantly increased how quickly changes in delicate quantum states can be detected inside a qubit. By combining commercially available hardware with new adaptive measurement techniques, the team can now observe rapid shifts in qubit behavior that were previously impossible to see.
Qubits are the fundamental units of quantum computers, which scientists hope will one day outperform today’s most powerful machines. But qubits are extremely sensitive. The materials used to build them often contain tiny defects that scientists still do not fully understand. These microscopic imperfections can shift position hundreds of times per second. As they move, they alter how quickly a qubit loses energy and with it valuable quantum information.
Until recently, standard testing methods took up to a minute to measure qubit performance. That was far too slow to capture these rapid fluctuations. Instead, researchers could only determine an average energy loss rate, masking the true and often unstable behavior of the qubit.
3D printers are not Star Trek-style replicators. Most 3D printers can only fabricate parts in a single material and that material is usually some form of plastic. But multi-material 3D printers do exist and by taking that idea to its limits, a team of researchers at MIT was able to build this 3D printer that can produce complete and functional electric motors.
The team didn’t have to start from scratch, because they were able to use an E3D ToolChanger 3D printer as the foundation for this project. That printer model came out several years ago and is now discontinued, but it was and still is pretty unique. It can swap between toolheads on-the-fly to print with different materials, which is a capability most users take advantage of to print with multiple colors or multiple kinds of thermoplastic filament material, such as PLA and PETG.
