Kaeli Tully’s Post

Artificial intelligence (#AI) is integral to our daily lives, from consumer devices to broader applications such as new drug development, climate change modeling, and #self-driving cars. The high computing power requirements of large AI models are giving rise to rapid iterations of AI chips. "No chip, no AI." The computing power achieved with #AI #chips as a carrier is becoming an important measure of the development level of artificial intelligence. AI chips refer to modules specifically designed to handle a large number of computing tasks in artificial intelligence applications. That is, chips oriented to the field of artificial intelligence are called AI chips. From the perspective of technical architecture, AI chips are mainly divided into four categories: graphics processing unit (#GPU), field programmable gate array (#FPGA), application specific integrated circuit (#ASIC), and brain-inspired chips. Among them, GPU is a general artificial intelligence chip, FPGA and ASIC are semi-customized and fully customized chips based on the characteristics of AI needs, and brain-like chips are processors that imitate the structure and function of the human brain nervous system. One of the advantages of AI is that it can quickly draw feasible solutions from large amounts of data, which can also be used to improve the efficiency of chip design. How is AI used in chip design? 1. Mapping Voltage Drop 2. Predicting Parasitics 3.Place and Routing Challenges 4. Automating Standard Cell Migration The chip industry has developed to a stage where AI assists in the design of AI chips. Chips are becoming larger and larger, especially chips for emerging applications such as AI and high-performance computing, as well as the ultra-large-scale data centers that host these applications. #ai #chips #electronics #electrical #components #emsmanufacturer #odm #oemfactory #pcbassembly #pcbmanufacturer #automotive #industrial #medicaldevices

Artificial intelligence (#AI) is integral to our daily lives, from consumer devices to broader applications such as new drug development, climate change modeling, and #self-driving cars. The high computing power requirements of large AI models are giving rise to rapid iterations of AI chips. "No chip, no AI." The computing power achieved with #AI #chips as a carrier is becoming an important measure of the development level of artificial intelligence. AI chips refer to modules specifically designed to handle a large number of computing tasks in artificial intelligence applications. That is, chips oriented to the field of artificial intelligence are called AI chips. From the perspective of technical architecture, AI chips are mainly divided into four categories: graphics processing unit ( #GPU), field programmable gate array (#FPGA), application specific integrated circuit (#ASIC), and brain-inspired chips. Among them, GPU is a general artificial intelligence chip, FPGA and ASIC are semi-customized and fully customized chips based on the characteristics of AI needs, and brain-like chips are processors that imitate the structure and function of the human brain nervous system. One of the advantages of AI is that it can quickly draw feasible solutions from large amounts of data, which can also be used to improve the efficiency of chip design. How is AI used in chip design? 1. Mapping Voltage Drop 2. Predicting Parasitics 3. Place and Routing Challenges 4. Automating Standard Cell Migration The chip industry has developed to a stage where AI assists in the design of AI chips. Chips are becoming larger and larger, especially chips for emerging applications such as AI and high-performance computing, as well as the ultra-large-scale data centers that host these applications. #ai #chips #electronics #electrical #components #emsmanufacturer #odm #oemfactory #pcbassembly #pcbmanufacturer #automotive #industrial #medicaldevices

The University of Florida scientists have introduced a way to revolutionize #wirelesscommunications by developing #threedimensionalprocessors in an era where seamless connectivity and real-time data exchange are critical. The team, led by Associate Professor Roozbeh Tabbrizian, used #semiconductortechnology to develop these 3D nanomechanical #resonators. Not only does this facilitate the integration of different frequency-dependent processors on the same #chip, but it also significantly reduces the physical space required for the #processors. As such, these #3Dprocessors offer enhanced performance with the potential for unlimited scalability, ensuring that they can meet the growing demands of wireless communication networks. The innovation marks a shift from traditional planar processors and promises to improve the efficiency of global #datatransmission, exacerbated by the growing demand for #artificialintelligence ( #AI) technology. In addition, the enhanced performance and scalability of 3D processors means they can support next-generation wireless communication requirements, including those for #smartcities, #telemedicineservices and augmented #realitytechnologies. #3D #semiconductor #electroniccomponents #electronicsIndustry #communicationelectronics #electronics #perceptive-ic.com

Revolutionary SiPh Chip Unveils, Now the Juicy Part... The Big Leap... University of Pennsylvania engineers unveiled a silicon-photonic (SiPh) chip, revolutionizing AI training with light instead of electricity. This marks a major shift in computing power and efficiency. Innovative Design... Combining nanoscale manipulation and silicon technology, the chip excels in vector-matrix multiplication, crucial for neural networks. Its architecture promises to drastically speed up processing. The Breakdown: Published in Nature Photonics, the chip's design facilitates unprecedented processing speeds by manipulating light. This innovation could redefine GPU performance and energy consumption. The Winners... The chip's potential extends to enhancing GPUs and offering better privacy features, positioning it as a pivotal advancement in AI computing. Its implications for the tech industry are profound and far-reaching.

Chinese develop an AI chip that uses light to do computation. Faster and more energy efficient than existing Nvidia chips that run on existing silicon technology. The Taichi II chip, developed by researchers at Tsinghua University, is significant for AI computation due to its fully optical design, which enhances efficiency and performance by using light instead of electricity for processing. This chip can perform AI tasks with much lower energy consumption, offering up to 160 trillion operations per watt, making it over 1,000 times more energy-efficient than traditional GPUs like Nvidia's H100. Taichi II supports large-scale network training and complex tasks, potentially paving the way for advanced AI applications and addressing the growing demand for computational power with low energy consumption https://lnkd.in/grz28kjh

👋 Hi, friends! 🎉 🌐🚀 Exciting tech news from #Expletech! 🤖👾👽 xAI has announced the launch of "Colossus" — the world's most powerful AI cluster, consisting of 100,000 Nvidia H100 GPUs. This system was built and brought online in just 122 days. 🚀💥💻 OpenAI plans to develop its own AI chips using the advanced TSMC 1.6mm A16 node. By collaborating with Broadcom, Marvell, or Apple to gain expertise in chip design, the company can significantly reduce its reliance on expensive Nvidia AI servers. 💡🤖💰 Researchers have developed an AI tool capable of accurately modeling the metabolic states of cells. It combines various data types to create kinetic models, opening new possibilities for biomedical research. 🧬🔬💊 1X Technologies has introduced NEO Beta — the most realistic AI-powered humanoid. This advanced robot is designed for everyday home assistance, interaction with people, and performing basic tasks. 🤖🏠💪 It is reported that the new version of Alexa by Amazon will use Claude AI models from Anthropic instead of its own technology. The update is expected to be released next month. 📅🗣️✨ Stay tuned! 🌊🚀✨ #ITnews #technology #innovation #Expletech

Artificial Intelligence (AI) Could Make Semiconductors a $1 Trillion Market by 2030 https://lnkd.in/gtuq7Mej #semiconductorindustry #semiconductors #semiconductor #electronics #electronicsmanufacturing #ai #artificialintelligence

The Future of Semiconductors and Foundries: A New Era of Innovation 🌐💡 As we move further into 2024 and beyond, the semiconductor industry is gearing up for an exciting transformation, driven by cutting-edge technology and an unprecedented demand for smarter, faster, and more energy-efficient devices. Foundries are at the heart of this revolution, playing a pivotal role in pushing the boundaries of what’s possible in chip design and manufacturing. Here are some key trends shaping the future: ⚙ Advanced Nodes: Foundries like TSMC, Samsung, and Intel are accelerating the development of next-generation nodes, with 2nm and even 1.4nm processes on the horizon. These innovations will power the next wave of AI, 5G, and quantum computing. 📀 Chiplet and 3D Integration: A shift toward chiplet architectures and 3D stacking technologies, enable greater efficiency and scalability; revolutionizing industries like automotive, cloud computing, and AI-driven applications by offering superior performance in smaller form factors. 🌳 Sustainability & Green Manufacturing: With foundries working to reduce energy consumption, water usage, and carbon emissions, green manufacturing practices are aligning with global goals to build a more sustainable future for semiconductors. 🧬 Materials Beyond Silicon: Materials like GaN (Gallium Nitride) and SiC (Silicon Carbide) are finding increased use in high-power applications, particularly in electric vehicles and renewable energy. These materials provide superior performance, faster switching, and greater energy efficiency. 🤖 Quantum and Neuromorphic Computing: Foundries are investing heavily in the development of quantum computing chips and neuromorphic processors that mimic the brain’s neural architecture. These technologies promise breakthroughs in areas like cryptography, AI, and deep learning. It’s an exciting time for the industry, as these innovations will not only redefine technological capabilities but also pave the way for smarter, greener, and more connected worlds. 🚀🔋 #CLMAmericas #Semiconductors #Foundries #Innovation #AI #5G #QuantumComputing #Sustainability #Chiplets #AdvancedTechnology #NewOpportunities #SemiconductorCareers

AI is transforming the medical and life sciences industries. To handle massive workloads and harness the full potential of AI, robust hardware solutions are essential.   In response, Prodrive Technologies’ rack server, powered by 5th Gen Intel® Xeon® Scalable processors, forms the backbone of modern AI healthcare systems to accelerate medical image processing speed and increase efficiency in DNA sequencing.   Key features: ▪ Scalable AI computing solution ▪ Ideal for medical imaging ▪ Support with SDKs and AI tools for faster results ▪ Highly efficient standalone and in-cluster ▪ Up to 6 GPUs in 2U form factor   Explore the capabilities of Prodrive’s Zeus rack server and unlock the power of scalable AI platforms to optimize the solution for healthcare and life science markets. https://lnkd.in/eej_AaW4   Intel Business, Intel Network & Edge  

The University of Florida scientists have introduced a way to revolutionize #wirelesscommunications by developing #threedimensionalprocessors in an era where seamless connectivity and real-time data exchange are critical. The team, led by Associate Professor Roozbeh Tabbrizian, used #semiconductortechnology to develop these 3D nanomechanical #resonators. Not only does this facilitate the integration of different frequency-dependent processors on the same #chip, but it also significantly reduces the physical space required for the #processors. As such, these #3Dprocessors offer enhanced performance with the potential for unlimited scalability, ensuring that they can meet the growing demands of wireless communication networks. The innovation marks a shift from traditional planar processors and promises to improve the efficiency of global #datatransmission, exacerbated by the growing demand for #artificialintelligence ( #AI) technology. In addition, the enhanced performance and scalability of 3D processors means they can support next-generation wireless communication requirements, including those for #smartcities, #telemedicineservices and augmented #realitytechnologies. #3D #semiconductor #electroniccomponents #electronicsIndustry #communicationelectronics #electronics #perceptive-ic.com