Vision and robotics systems enabled by cameras that recover 3D scene geometry are revolutionizing several aspects of our lives via technologies such as autonomous transportation, robotic surgery, and'hands-free' user interfaces. Modern 3D cameras are active devices, where a programmable light source emits coded illumination. The emitted light gets reflected from the scene and is received by a sensor to infer the 3D structure of the surroundings. In a multi-camera environment, such active 3D cameras may receive light from the sources of other cameras, resulting in large depth errors. This problem is becoming increasingly important due to the emergence of low-cost and compact active 3D cameras, which are becoming ubiquitous across a wide range of applications, from consumer devices to vehicular vision systems.

Sensitive health information donated for medical research by half a million UK citizens has been shared with insurance companies despite a pledge that it would not be. An Observer investigation has found that UK Biobank opened up its vast biomedical database to insurance sector firms several times between 2020 and 2023. The data was provided to insurance consultancy and tech firms for projects to create digital tools that help insurers predict a person's risk of getting a chronic disease. The findings have raised concerns among geneticists, data privacy experts and campaigners over vetting and ethical checks at Biobank. Set up in 2006 to help researchers investigating diseases, the database contains millions of blood, saliva and urine samples, collected regularly from about 500,000 adult volunteers – along with medical records, scans, wearable device data and lifestyle information.

Developed by Samsung Research, Gauss (named after mathematician Carl Friedrich Gauss) powers several on-device AI technologies across Samsung products. It will have a few different facets but will do a lot of the same stuff we've seen from other generative AI (GAI) models. Gauss Language will handle tasks like translations and summarizing documents, while Gauss Code is a coding assistant. The latter can create images based on prompts and handle edits like style changes and additions. It will be able to upscale low-resolution images too.

'Botched experiments' by Elon Musk's Neuralink allegedly'kept suffering animals alive for no reason and malpractice caused monkey's brains to hemorrhage' during rushed brain chip testing, a former Neuralink employee and internal lab notes have previously revealed. The billionaire's startup is accused of violating the Animal Welfare Act with its experiments at the University of California, Davis, from 2017 through 2020, which'sacrificed all the animals involved,' a former Neuralink employee, who asked to remain anonymous, told DailyMail.com. One case stood out to them - a monkey sacrificed ahead of schedule due to errors allegedly made during surgery. The Physicians Committee for Responsible Medicine filed a lawsuit against the University of California, Davis, where the experiments were held, claiming it has to hand over video footage and photographs of the experiments under California's Public Records Act. Pictured is an image of a monkey shown on Neuralink's website'There was no reason to use it,' the former employee, who worked as a necropsy technician, told DailyMail.com.

The Mia Hand is a smart device that can sense the environment and adjust its grip accordingly. It can perform five different types of grasps, such as pinch, power, precision, lateral and extension. Imagine losing your hand in an accident and having to live with a prosthetic limb that is clumsy, uncomfortable and limited in functionality. That is the reality for millions of people around the world who suffer from amputation or congenital limb deficiency. But what if there was a way to restore the natural sensation and movement of your hand using a bionic device that is connected to your nervous system and adapts to your needs?

There has been a lot of activity in graph representation learning in recent years. Graph representation learning aims to produce graph representation vectors to represent the structure and characteristics of huge graphs precisely. This is crucial since the effectiveness of the graph representation vectors will influence how well they perform in subsequent tasks like anomaly detection, connection prediction, and node classification. Recently, there has been an increase in the use of other deep-learning breakthroughs for data-based graph problems. Graph-based learning environments have a taxonomy of approaches, and this study reviews all their learning settings. The learning problem is theoretically and empirically explored. This study briefly introduces and summarizes the Graph Neural Architecture Search (G-NAS), outlines several Graph Neural Networks' drawbacks, and suggests some strategies to mitigate these challenges. Lastly, the study discusses several potential future study avenues yet to be explored.

The field of healthcare is increasingly attracting the efforts of the most prominent companies in artificial intelligence, with Microsoft being the latest example. Last week, the company announced extensions to Fabric, the data analytics platform it unveiled in May, to enable Fabric to perform analysis on multiple types of healthcare data. Microsoft also announced new services in its Azure cloud computing service for, among other things, using large language models as medical assistants. "We want to build that unified, multimodal data foundation in Fabric One Lake, where you can unify all these different modalities of data so that you can then reason over that data, run AI models and so on," said Umesh Rustogi, the general manager for Microsoft Cloud for Healthcare, in an interview with ZDNET. The trend of multi-modality, which ZDNET explored in a feature article on AI this month, is increasingly important in healthcare, said Rustogi.

Japan plans to provide remote medical care services and smart farming technology to Ukraine in order to help revive its economy and restore areas of the country devastated by Russia's invasion, government sources said Saturday. The measures will serve as pillars of cooperation by Japanese companies and will be revealed at a meeting in Japan early next year to promote economic reconstruction in the Eastern European nation. The digital healthcare services will enable Japanese doctors to provide medical care to those injured people in Ukraine by having their ultrasound scans sent to Japan. Japan hopes to assist Ukraine with its wheat and sunflower yields through farming methods that utilize sensors and artificial intelligence technologies, which can help in ways such as providing the optimal amount of water or fertilizer to crops. Because of Japan's stringent regulations on providing weapons under its war-renouncing Constitution, Tokyo has instead committed to assisting with Ukraine's reconstruction efforts through its public and private sectors.

Remarkable video shows a woman using a bionic arm so sensitive it can pick up a screwdriver and coins -- using just the power of her thoughts. The Swedish woman, known only as Karin, suffered a devastating farming accident 20 years ago that robbed her of her right arm. Over the last two decades she has suffered excruciating phantom limb pain, leaving her feeling like she'constantly had [her] hand in a meat grinder'. Karin also found conventional prostheses uncomfortable and unreliable. In hope of creating an alternative that can be fully attached to a stump and a provide better range of motion, a team of engineers and surgeons from Sweden, Australia, Italy and the US developed an improved prosthetic limb.

The digitization of health care has been a long time coming, with the practice of healing tied, for obvious reasons, to older, carefully vetted ways of doing things. But increasingly, artificial intelligence in various forms is creeping into the clinic. Applications include in predictive analytics, smart prostheses, mobile diagnostics, and brain implants. Plus, with the emergence of large language models (LLMs) like ChatGPT, we explore whether that technology can assist in health care today. While much of the work is in the form of pilot studies, it's clear AI will play a major role in shaping how health care is delivered in decades to come.