Science fiction has long imagined a world where our brains interact with machines to restore and augment our abilities -- think of the neural implants that connected to Geordi La Forge's visor in Star Trek or allowed Alex Murphy to be reborn as cyborg law enforcer in RoboCop. In the real world, researchers have been working for decades on so-called brain-computer interfaces to help people who suffer from paralysis, blindness, hearing loss, and more, regain function. Some individuals have used these devices to control a computer cursor with their minds; others have managed to move a robotic arm or transcribe some of their thoughts into text. The technology is still nascent and the number of people who have received implants is only in the hundreds. Just a few companies have received regulatory approval to progress beyond clinical trials to commercial use -- and even that's for limited applications.

In theory, Motif Neurotech's berry-sized device would work like a continuous glucose monitor. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. Patients receiving the experimental new implant would not need to undergo a complicated surgery. Breakthroughs, discoveries, and DIY tips sent six days a week. Earlier this week, the United States Food and Drug Administration (FDA) approved a human trial for a blueberry-sized brain implant intended to target treatment-resistant depression.

Researchers hope the experiments will pave the way for people with paralysis to explore virtual worlds or more intuitively control electric wheelchairs in this one. Peter Janssen at KU Leuven in Belgium and colleagues implanted three rhesus macaque ( Macaca mulatta) monkeys with BCIs. Crucially, each animal got three implants, each consisting of 96 electrodes, positioned in the primary motor, dorsal and ventral premotor cortex. The first area is commonly used in BCI research and relates to physical movement, but the latter two are thought to be involved in planning movement in a higher, more abstract way. Electrical signals from the implants were then interpreted by an AI model and used to control VR avatars as the monkeys watched a 3D monitor.

While the United States and Europe are moving cautiously forward with clinical trials, China is racing toward the commercialization of brain implants. China has made history by becoming the first nation to approve a commercially available brain chip to treat a disability. NEO, the implant developed by Neuracle Medical Technology, translates the thoughts of a person with paralysis into movements of an assistive robotic hand. After 18 months of testing that proved its safety, China's National Medical Products Administration authorized the implant for people aged 19 to 60 with paralysis caused by neck or spinal cord injuries that prevent them from moving their limbs. According Nature, the implant embedded in the skull is about the size of a coin.

AI is driving unprecedented investment for massive data centers and an energy supply that can support its huge computational appetite. One potential source of electricity for these facilities is next-generation nuclear power plants, which could be cheaper to construct and safer to operate than their predecessors. We recently held a subscriber-exclusive Roundtables discussion on hyperscale AI data centers and next-gen nuclear --two featured technologies on the MIT Technology Review 10 Breakthrough Technologies of 2026 list . You can watch the conversation back here, and don't forget to subscribe to make sure you catch future discussions as they happen. Demis Hassabis, CEO of Google DeepMind, summed it up in three words: "This is embarrassing." Hassabis was replying on X to an overexcited post by Sébastien Bubeck, a research scientist at the rival firm OpenAI, announcing that two mathematicians had used OpenAI's latest large language model, GPT-5, to find solutions to 10 unsolved problems in mathematics.

Gestala is the latest company to emerge from China's burgeoning brain-computer interface industry. It plans to access the brain with noninvasive ultrasound technology. China's brain-computer interface industry is growing fast, and the newest company to emerge from the country is aiming to access the brain without the use of invasive implants . Gestala, newly founded in Chengdu with offices in Shanghai and Hong Kong, plans to use ultrasound technology to stimulate--and eventually read from--the brain, according to CEO and cofounder Phoenix Peng. It's the second company to launch in recent weeks with the aim of tapping into the brain with ultrasound.

Science Corporation, founded by former Neuralink president Max Hodak, has unveiled a prototype machine to extend the life of organs for longer periods. Science Corporation, the brain-computer interface startup founded in 2021 by former Neuralink president Max Hodak, is launching a new division of the company with the goal of extending the life of human organs. Alameda, California-based Science is aiming to improve on current perfusion systems that continuously circulate blood through vital organs when they can no longer function on their own. The technology is used to preserve organs for transplant and as a life-support measure for patients when the heart and lungs stop working, but it's clunky and costly. Science wants to make a smaller, more portable system that could provide long-term support.

Surgeons at Rambam Eye Institute restored sight to a legally blind patient using the world's first 3D printed corneal implant grown from cultured human cells.

Breast MRI provides high-resolution imaging critical for breast cancer screening and preoperative staging. However, existing segmentation methods for breast MRI remain limited in scope, often focusing on only a few anatomical structures, such as fibroglandular tissue or tumors, and do not cover the full range of tissues seen in scans. This narrows their utility for quantitative analysis. In this study, we present BreastSegNet, a multi-label segmentation algorithm for breast MRI that covers nine anatomical labels: fibroglandular tissue (FGT), vessel, muscle, bone, lesion, lymph node, heart, liver, and implant. We manually annotated a large set of 1123 MRI slices capturing these structures with detailed review and correction from an expert radiologist. Additionally, we benchmark nine segmentation models, including U-Net, SwinUNet, UNet++, SAM, MedSAM, and nnU-Net with multiple ResNet-based encoders. Among them, nnU-Net ResEncM achieves the highest average Dice scores of 0.694 across all labels. It performs especially well on heart, liver, muscle, FGT, and bone, with Dice scores exceeding 0.73, and approaching 0.90 for heart and liver. All model code and weights are publicly available, and we plan to release the data at a later date.