Category Robots Podcast

The rapidly increasing aging population will lead to a shortage of care providers in the future. While robotic technologies are a potential alternative, their widespread use is limited by poor acceptance. In a new study, researchers have examined a user-centric approach to understand the factors influencing user willingness among caregivers and recipients in Japan, Ireland, and Finland. Users' perspectives can aid the development of home-care robots with better acceptance.

On September 11, 2001, during the terrorist attacks in New York, the commander of one of the firefighting teams had an idea that he had to get his team out of the skyscraper they were in. He could not explain why he suddenly ordered everyone out.

Autonomous Mobile Robots (AMRs) are designed to enhance intralogistics, the complex process of managing and transporting materials within a manufacturing facility, which is critical in automotive production.

A team of mechanical engineers at Nanyang Technological University, in Singapore, has developed a way to automate the process of merging live cockroaches and electronics to create cyborg cockroaches, greatly speeding up the process. In their study, available on the arXiv preprint server, the group taught a robot arm to connect electronics to living insects.

OpenAI’s new video-generation tool, Sora, has set the tech world abuzz since its release. The AI powerhouse is known for redefining boundaries with innovations like ChatGPT and DALL-E, and Sora represents another leap—this time into video. However, one key feature is being cautiously held back: the ability to generate videos based on real people. OpenAI’s...

The post Why OpenAI Limits Sora’s Real-Person Video Generation Feature: A Look Into the Future of AI Creativity and Ethics appeared first on 1redDrop.

Imagine an artificial intelligence (AI) model that can watch and understand moving images with the subtlety of a human brain. Now, scientists have made this a reality by creating MovieNet: an innovative AI that processes videos much like how our brains interpret real-life scenes as they unfold over time.

Europe's road network is its economic backbone. Mostly constructed after World War II, extensive maintenance is essential as it's nearing its end of life. Increasing traffic volumes and more frequent road works result in traffic jams, delayed goods transport and risks for road workers. All this puts huge pressure on governments and road authorities.

Pretrained large-scale AI models need to 'forget' specific information for privacy and computational efficiency, but no methods exist for doing so in black-box vision-language models, where internal details are inaccessible. Now, researchers addressed this issue through a strategy based on latent context sharing, successfully getting an image classifier to forget multiple classes it was trained on. Their findings could expand the use cases of large-scale AI models while safeguarding end users' privacy.

Physicists have devised an algorithm that provides a mathematical framework for how learning works in lattices called mechanical neural networks.

Researchers have published two studies in which they surveyed readers on their thoughts about AI in journalism. When provided a sample of bylines stating AI was involved in producing news in some way or not at all, readers regularly stated they trusted the credibility of the news less if AI had a role. Even when they didn't understand exactly what AI contributed, they reported less trust and that 'humanness' was an important factor in producing reliable news.

To help humans to complete everyday manual tasks, robots should be able to reliably manipulate everyday objects that vary in shape, texture and size. Many conventional approaches to enable robotic manipulation of various objects rely on extensive training and precise programming, also delineating the properties of objects that the robots will be manipulating.

Better, faster artificial intelligence is fueling a rise in human-like robots for customer service at places like hotels and airports, especially in areas outside the U.S. But many robots still fail to connect with people, instead creeping us out with fake smiles and jittery movements.

A team led by Prof. Dong Erbao from the University of Science and Technology of China (USTC) of the Chinese Academy of Sciences (CAS), collaborating with Prof. Yu Xinge from the City University of Hong Kong, developed a novel tactile perception method based on flexible grating structural color. The work was published in National Science Review.

Brain-inspired architectures are making AI models more efficient and less resource-intensive. This convergence of AI innovation and energy efficiency points to a future where AI isn’t just the domain of large corporations but a tool accessible to all.

VR in Medical Training: The Future Healthcare Applications

Virtual Reality (VR) is revolutionizing medical education by altering how medical students learn and practice. It enables students to practice in realistic surroundings, acquiring experience without the hazards associated with the traditional teaching approaches. With medical procedures becoming increasingly complex, modern training tools are more important than ever. This change is making medical education more hands-on, interesting, and successful, thereby improving the abilities and confidence of future healthcare practitioners.

Herein, we will discuss how virtual reality (VR) is impacting medical teaching, including its benefits, real-world instances, and the challenges associated with its implementation. 

How Does Virtual Reality Impact Medical Education?

 VR technology enables users to fully immerse themselves in a realistic environment by wearing specially designed headsets. In medical education, virtual reality assists in creating realistic scenarios in which students and experts can learn through practice. Virtual reality (VR) provides immersive experiences that enhance learning, as opposed to traditional methods that rely on textbooks, mannequins, or live demonstrations. Trainees can practice procedures, interact with virtual patients, and receive prompt feedback.

Furthermore, VR resolves several challenges associated with traditional training methods. Students can practice tough circumstances until they are comfortable using virtual reality (VR) to study at their own pace. By bridging the gap between theory and practice, VR ensures that students develop the skills and confidence necessary to manage real-world events.

Advantages of Using Virtual Reality in Medical Training 

Uniform Training: VR-powered applications or solutions can create virtual simulations of real-time training purposes. The trainee can enter an active learning environment. VR apps break down the border between virtual reality and actual reality.

Cost Efficiency: While the initial investment in VR technology may be significant, it saves money over time by eliminating the requirement for physical training materials and venues.

Accessibility: Virtual reality (VR) provides medical training to students in rural areas and beyond, allowing learners from all over the world to participate in high-quality programs.

Feedback and Performance evolution: VR apps provides instant feedback during practice, allowing students to detect and correct errors in real-time. This strategy allows students to learn quickly and gain confidence. This promotes faster skill development and guarantees that students can learn effectively. 

Soft Skills Development: Virtual Reality helps improve patient communication and empathy. By arranging realistic scenarios, healthcare practitioners can strengthen their communication skills, which are essential for patient care.

Improved Preparation for Rare or Complex Problems: Through VR training, students can experience rare or complicated medical issues that are not frequently addressed in conventional training. This experience makes it easy for people to deal with unusual events in real life.

Applications of VR in Medical Education

Virtual Reality has a wide range of applications in medical teaching, making it an adaptable tool for a variety of learning scenarios. One important application is surgical training. VR creates a realistic environment in which surgeons can practice complex procedures, allowing them to improve their skills while ensuring patient safety. This technique improves both preparation and actual performance.

Another useful application of VR is anatomy education, in which students use 3D visualization tools to understand human anatomy. Students can learn more about anatomy than they might with traditional studies when they are in a virtual learning environment.

Emergency healthcare training can also benefit with virtual reality technology emergence. By replicating actual disasters, virtual reality teaches medical professionals how to effectively handle high-stress situations. This program assists people in improving their ability to make decisions and maintain composure under duress

Challenges of Using Virtual Reality for Medical Education

Despite VR’s significant contribution to medical education, plenty of issues remain. The first main obstacle is the upfront investment necessary to implement VR. Implementing VR-powered training needs a considerable investment in setting up the VR software and infrastructure. It might be too expensive for many medical schools and healthcare facilities.

Another challenge is the technical demands of VR. Reliable hardware and ongoing technical support are necessary for high-quality VR systems. The resources required to maintain these systems’ functionality are not available to all institutions. Technical difficulties that arise during training sessions could disrupt the experience and even restrict learning.

The next big barrier is opposition to change. Many healthcare personnel are used to traditional training methods such as mannequins and textbooks, and they may find it difficult to adapt to VR.

Finally, there are regulatory challenges. Medical training must adhere to specified norms and accreditation requirements. Integrating VR into medical education while remaining compliant with these rules can be difficult. VR programs must be thoroughly validated to meet accrediting bodies’ standards, which can be a time-consuming and expensive procedure.

Conclusion 

VR applications are revolutionizing the field of medical education through dynamic and immersive learning and practicing critical skills in the most realistic environment. Healthcare professionals of the future will be much more ready, resilient, and equipped to handle ongoing changes in contemporary medicine. Such enhanced expertise from VR apps will continue to bridge gaps between theoretical and real-time practice. Therefore, with such realistic simulations, even the most intricate procedures and the rarest cases can be trained for medical students, which boosts their confidence and skill development.

USM is one of the best VR app development companies. With our best practices in the design and development of VR mobile apps, we help you optimize your medical training ways and improve student satisfaction.

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