A leading futurist who accurately predicted the rise of the iPhone has now set the date for humanity's most phenomenal breakthrough yet, the ability to cheat death. Ray Kurzweil, a former Google engineering director, has long been known for his bold predictions about the future of technology and humanity. His forecasts often focus on the convergence of biotech, AI, and nanotechnology to radically extend human capabilities. Now, Kurzweil claims humanity is just four years away from its most transformative leap yet, achieving'longevity escape velocity' by 2029. While some experts remain skeptical, Kurzweil's influence in Silicon Valley ensures his predictions continue to shape the broader conversation around life extension and the future of human health.

This paper presents the development and application of a Large Language Model Retrieval-Augmented Generation (LLM-RAG) system tailored for nanotechnology research. The system leverages the capabilities of a sophisticated language model to serve as an intelligent research assistant, enhancing the efficiency and comprehensiveness of literature reviews in the nanotechnology domain. Central to this LLM-RAG system is its advanced query backend retrieval mechanism, which integrates data from multiple reputable sources. The system retrieves relevant literature by utilizing Google Scholar's advanced search, and scraping open-access papers from Elsevier, Springer Nature, and ACS Publications. This multifaceted approach ensures a broad and diverse collection of up-to-date scholarly articles and papers. The proposed system demonstrates significant potential in aiding researchers by providing a streamlined, accurate, and exhaustive literature retrieval process, thereby accelerating research advancements in nanotechnology. The effectiveness of the LLM-RAG system is validated through rigorous testing, illustrating its capability to significantly reduce the time and effort required for comprehensive literature reviews, while maintaining high accuracy, query relevance and outperforming standard, publicly available LLMS.

We introduce a novel approach to reduce the number of times required for reprogramming memristors on bit-sliced compute-in-memory crossbars for deep neural networks (DNNs). Our idea addresses the limited non-volatile memory endurance, which restrict the number of times they can be reprogrammed. To reduce reprogramming demands, we employ two techniques: (1) we organize weights into sorted sections to schedule reprogramming of similar crossbars, maximizing memristor state reuse, and (2) we reprogram only a fraction of randomly selected memristors in low-order columns, leveraging their bit-level distribution and recognizing their relatively small impact on model accuracy. We evaluate our approach for state-of-the-art models on the ImageNet-1K dataset. We demonstrate a substantial reduction in crossbar reprogramming by 3.7x for ResNet-50 and 21x for ViT-Base, while maintaining model accuracy within a 1% margin.

A tech expert with a track record of predicting sea changes in the industry has made several eye-popping new forecasts in a new book. Google's Ray Kurzweil famously predicted the iPhone era and the fact that a computer would beat someone at chess by 1998. In his new book, 'The Singularity is Nearer', Kurzweil predicts that humans fully merge with AI, becoming immortal cyborgs, by 2045. He also predicts that advancements in AI will make it possible to resurrect loved ones and connect our brains to cloud technology, in what he calls the'fifth epoch' of human intelligence. Google's Ray Kurzweil believes immortality is around the corner (Getty) The singularity is the idea that artificial intelligence (AI) will eventually surpass human intelligence, fundamentally changing human existence.

We are now in the later stages of the first generation of life extension, which involves applying the current class of pharmaceutical and nutritional knowledge to overcoming health challenges. In the 2020s we are starting the second phase of life extension, which is the merger of biotechnology with AI. The 2030s will usher in the third phase of life extension, which will be to use nanotechnology to overcome the limitations of our biological organs altogether. As we enter this phase, we'll greatly extend our lives, allowing people to far transcend the normal human limit of 120 years. If you buy something using links in our stories, we may earn a commission.

Institute for Computational Biomedicine, Department of Physiology and Biophysics, Weill Cornell Medicine of Cornell University, New York, NY, USA Abstract Nanorobotics offers an emerging frontier in biomedicine, holding the potential to revolutionize diagnostic and therapeutic applications through its unique capabilities in manipulating biological systems at the nanoscale. Following PRISMA guidelines, a comprehensive literature search was conducted using IEEE Xplore and PubMed databases, resulting in the identification and analysis of a total of 414 papers. The studies were filtered to include only those that addressed both nanorobotics and direct medical applications. Our analysis traces the technology's evolution, highlighting its growing prominence in medicine as evidenced by the increasing number of publications over time. Applications ranged from targeted drug delivery and single-cell manipulation to minimally invasive surgery and biosensing. Despite the promise, limitations such as biocompatibility, precise control, and ethical concerns were also identified. This review aims to offer a thorough overview of the state of nanorobotics in medicine, drawing attention to current challenges and opportunities, and providing directions for future research in this rapidly advancing field. Introduction Nanorobotics, a field merging nanotechnology with teleoperated and autonomous robotics, presents groundbreaking solutions that are unattainable with conventional robotics. A nanorobot, also known as a nanomachine, is a miniature mechanical or electromechanical device designed to perform specific tasks at the nanoscale level [1]. Contrary to nanorobotics, nanoparticles are tiny particles with unique properties, used for applications like drug delivery. Nanorobotics involves designing molecular-scale robots for tasks such as targeted medical procedures.

A former Google engineer has made a stark realization that humans will achieve immortality in eight years - and 86 percent of his 147 predictions have been correct. Ray Kurzweil spoke with the YouTube channel Adagio, discussing the expansion in genetics, nanotechnology, and robotics, which he believes will lead to age-reversing'nanobots.' These tiny robots will repair damaged cells and tissues that deteriorate as the body ages and make us immune to diseases like cancer. The predictions that such a feat is achievable by 2030 have been met with excitement and skepticism, as curing all deadly diseases seems far out of reach. Kurzweil was hired by Google in 2012 to'work on new projects involving machine learning and language processing,' but he was making predictions in technological advances long before.

Artificial Intelligence (AI) - AI will continue to advance, making it more powerful and more accessible to organisations of all sizes. It will be integrated into various industries such as healthcare, finance, and transportation, significantly improving efficiency, accuracy, and decision making. This will enable new applications and use cases such as virtual reality, industrial automation, and smart cities. Internet of Things (IoT) - IoT will continue to grow, with an increasing number of devices becoming connected to the internet. This will lead to the creation of smart homes, cities, and factories, and the development of new services and business models. Edge Computing - Edge computing is the practice of processing data closer to the source, instead of sending it to a central location for processing.

A new blood test developed by Tulane University researchers combines nanotechnology with artificial intelligence to diagnose tuberculosis (TB) in children in instances when the deadly disease might otherwise go undetected, according to a study in Nature Biomedical Engineering. Although the current test requires a sophisticated lab to perform, researchers are working to streamline it so it can be performed in the community and read with a smartphone. "TB is a disease found primarily in resource-limited areas, the ideal is to create a smartphone-based method that could be used at the point-of-care in these settings," said senior study author Tony Hu, PhD, Weatherhead Presidential Chair in Biotechnology Innovation at Tulane University. TB is the second most common cause of infectious disease death worldwide, having only recently been supplanted by COVID-19. The disease is particularly deadly in young children, especially those with HIV.

Scientists have designed a tiny robot-fish that is programmed to remove microplastics from seas and oceans by swimming around and adsorbing them on its soft, flexible, self-healing body. Microplastics are the billions of tiny plastic particles which fragment from the bigger plastic things used every day such as water bottles, car tyres and synthetic T-shirts. They are one of the 21st century's biggest environmental problems because once they are dispersed into the environment through the breakdown of larger plastics they are very hard to get rid of, making their way into drinking water, produce, and food, harming the environment and animal and human health. "It is of great significance to develop a robot to accurately collect and sample detrimental microplastic pollutants from the aquatic environment," said Yuyan Wang, a researcher at the Polymer Research Institute of Sichuan University and one of the lead authors on the study. Her team's novel invention is described in a research paper in the journal Nano Letters.