Laura Ligtenberg’s Post

📱💡Did you know your smartphone actually starts… as sand? The journey of making a computer chip is a fascinating, high-tech process, transforming grains of sand into powerful microchips. At the University of Twente, researchers are not only developing new chips but are also finding ways to make chip production faster, smarter, and more sustainable.🌱 For example, PhD student Reinier Cool is working on “brain-inspired computing,” a new chip technology modeled after the human brain. These chips could be up to ten thousand times more energy-efficient for AI tasks, creating a more sustainable way to use artificial intelligence. Curious about how chips are made? Read the full article and discover how Twente is shaping the future of technology! https://lnkd.in/empVh9dv #utwente#chipinnovation #tech

📱💡𝐃𝐢𝐝 𝐲𝐨𝐮 𝐤𝐧𝐨𝐰 𝐲𝐨𝐮𝐫 𝐬𝐦𝐚𝐫𝐭𝐩𝐡𝐨𝐧𝐞 𝐚𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐬𝐭𝐚𝐫𝐭𝐬… 𝐚𝐬 𝐬𝐚𝐧𝐝? The journey of making a computer chip is a fascinating, high-tech process, transforming grains of sand into powerful microchips. At the University of Twente, researchers are not only developing new chips but are also finding ways to make chip production faster, smarter, and more sustainable.🌱 For example, PhD student Reinier Cool is working on “brain-inspired computing,” a new chip technology modeled after the human brain. These chips could be up to ten thousand times more energy-efficient for AI tasks, creating a more sustainable way to use artificial intelligence. Curious about how chips are made? Read the full article and discover how Twente is shaping the future of technology! https://lnkd.in/exgPesNu #utwente#chipinnovation #tech

The rapid rise of new science and technology is transforming our world, from artificial intelligence to quantum computing. These advancements are not only enhancing industries but also reshaping our daily lives, opening avenues for creative problem-solving. AI has become an integral part of various sectors, breaking down barriers between professional applications and public usage, with generative and ethical AI emerging as key areas to watch. Similarly, the advent of quantum computing is poised to revolutionize fields like cryptography and climate modeling, tackling challenges that classical computers cannot. On the sustainability front, advances in renewable technology and biotechnology are paving the way for a more sustainable future. Tools like CRISPR in genetics and efficient solar energy solutions demonstrate the balancing act of innovation with ethical considerations. Meanwhile, DIY technology, such as Raspberry Pi and 3D printing, is empowering individuals to innovate independently, heralding a new era of personal tech development. What innovation excites you the most? How do you foresee these technologies influencing your industry? Share your thoughts below! For more insights, explore the original article by Ed Malaker here: [https://lnkd.in/deCDxWCg

𝑩𝒊𝒐𝒄𝒐𝒎𝒑𝒖𝒕𝒊𝒏𝒈: 𝑻𝒉𝒆 𝑵𝒆𝒙𝒕 𝑭𝒓𝒐𝒏𝒕𝒊𝒆𝒓 𝒊𝒏 𝑳𝒊𝒗𝒊𝒏𝒈 𝑪𝒐𝒎𝒑𝒖𝒕𝒆𝒓𝒔 Imagine if computers could be made from living biological matter instead of the same silicon-based hardware we've been using since the 1950s. Enter biocomputing, an emerging field where synthetic biology, like lab-grown brain cells called organoids, is used to create futuristic computer systems. One of the pioneers in this space is Swiss company FinalSpark, which launched its "Neuroplatform" earlier this year—a human-brain organoid-powered platform that researchers can rent online for just $500 a month.Neuroplatform operates using tiny brain organoids, each about 0.5 millimeters wide, connected to electrodes that stimulate their neurons while linking them to traditional computer networks. These neurons are trained with electrical signals and dopamine, simulating how our brains learn through rewards. The goal? To eventually train organoids to function like the CPUs and GPUs we rely on today, potentially revolutionizing computing by mimicking the human brain's processing power.But biocomputing isn't without its challenges. For now, researchers can observe the organoids' behavior live, 24/7, but there are significant hurdles to overcome. There's no standardized way to manufacture these brain-like processors, and they have a limited lifespan—FinalSpark’s organoids last about 100 days, a big improvement from their initial few-hour lifespan, but still a far cry from silicon’s durability. The quest to make neurons work for us is just beginning, but it’s already sparking curiosity and excitement in the tech world.

As the demand for AI soars, the industry's reliance on energy-intensive GPUs is becoming a significant challenge. With projections indicating a 160% increase in electricity demand by 2030, it's clear that our current trajectory is unsustainable. Enter Sagence AI, a semiconductor startup with a novel solution: analog chips. Unlike traditional digital chips, Sagence's analog technology presents a more energy-efficient alternative, potentially transforming AI hardware with higher data density and reduced bottlenecks. While analog chips require precise manufacturing and complex programming, they complement digital chips, promising to enhance AI applications' performance and sustainability. Sagence's innovative approach exemplifies the revival and relevance of analog technology in today's semiconductor industry. As Sagence gears up to launch its products by 2025 and join the ranks of leading AI hardware innovators, it's pivotal for tech professionals to weigh in on this paradigm shift. What are your thoughts on the future of chip technology and its impact on AI development? AI Semiconductors AnalogTechnology Sustainability Innovation

Nano Computing ## Nanocomputing: The Future is Tiny Imagine a world where computers are so small they can be injected into the bloodstream, where microscopic robots repair damaged cells, and where entire data centers fit on a pinhead. This is the promise of nanocomputing, a field dedicated to building computers at the nanoscale – a world measured in billionths of a meter. While still in its early stages, nanocomputing holds immense potential to revolutionize various fields: 1. Medicine: * Targeted drug delivery: Nanocomputers could deliver drugs directly to diseased cells, minimizing side effects. * Early disease detection: Nanoscale sensors could detect diseases at their earliest stages, leading to more effective treatment. * Regenerative medicine: Nanomachines could help repair damaged tissues and organs, accelerating healing processes. 2. Electronics: * Super-fast and efficient devices: Nanocomputers could enable significantly faster and more energy-efficient smartphones, laptops, and other electronic devices. * Flexible and transparent electronics: Nanocomputing could lead to the creation of flexible, transparent, and even wearable electronics embedded in clothing or directly on the skin. 3. Materials Science: * Stronger and lighter materials: Nanocomputing could help engineer materials with enhanced strength and durability while remaining lightweight, revolutionizing industries like aerospace and construction. * Self-healing materials: Imagine materials that can repair themselves! Nanocomputers could make this a reality by controlling molecular processes within materials. 4. Energy: * Highly efficient solar panels: Nanocomputing could optimize the capture and conversion of solar energy, leading to more efficient and cost-effective solar panels. * Improved batteries: Nanoscale structures could be used to design batteries with significantly higher capacity and faster charging times. Challenges on the Horizon: Despite its potential, nanocomputing faces numerous challenges: * Technical hurdles: Building functional nanocomputers requires overcoming complex technical challenges related to materials science, fabrication techniques, and information processing at the nanoscale. * Cost: Developing and manufacturing nano-scale devices is currently very expensive. * Ethical considerations: Like any transformative technology, nanocomputing raises ethical concerns about potential misuse and unintended consequences. The Future is Bright (and Tiny): Despite these challenges, research in nanocomputing is progressing rapidly. Scientists are exploring various approaches, including using DNA as building blocks for nanocomputers, leveraging the principles of quantum mechanics, and creating hybrid systems that combine biological and artificial components. While widespread adoption of nanocomputing might be years away, the potential benefits are enormous.

Researchers from the University of Pennsylvania have developed a silicon chip that utilizes light waves to accelerate the processing speed and thus reduce energy consumption. The team achieved this by controlling the height of the silicon wafer at a specific region which allowed to control the propagation of light through the chip. The team also ensured the light traveled in a straight line after any scattering thus transferring the information at light speed. The design could also help to reduce the reliance on computational storage capacity (memory) since calculations are done in real-time. The team believes the silicon-photonic (SiPh) chip will find its application in GPU and AI over the coming years #semiconductor #chip #chipdesign #AI #aritificialintelligence Link: https://lnkd.in/g9ghjDtf https://lnkd.in/gKEWtKVH https://lnkd.in/gs8gCR9i Research Paper: https://lnkd.in/g43dNf2h