Ningyuan Cao’s Post

“All of our existing electronic devices use chips made up of silicon, which is a three-dimensional material. Now, many companies are investing a lot in chips made up of two-dimensional materials,” said Shoaib Khalid, PhD, an associate research physicist at PPPL. The materials actually exist in three dimensions, but they are so thin — often made up of only a few layers of atoms — that scientists have taken to calling them 2D. In the latest #ResearchBits from Semiconductor Engineering and learn how the Lab is investigating a replacement for silicon computer chips 💻 using a super-thin material known as transition-metal dichalcogenide (TMD).

I invite all researchers & students to exhibit the academic works conducted in the form of paper presentation at VLSI design conference being hosted this time by NXP Semiconductors https://lnkd.in/g72VeP94 Topics: *Quantum Computing* Hardware for Machine Learning and Artificial Intelligence Analog & Mixed Signal and, RF Circuits Sensors interfacing circuits and systems VLSI for Automotive Circuits and Systems Test, Verification and Reliability Embedded Systems, Internet of Things (IoT), and Cyber-Physical System Design Electronic Design Automation Low power Digital Systems Advances in CAD for VLSI Latest trends in device design and modelling Beyond 2D in Packaging and interconnects Hardware and Systems Security Emerging Memory Technologies Advanced process and Material Photonic Integrated Circuits and Optical Communication Wireless Systems, 5G and beyond Power & Energy Management Emerging Computing & Post-CMOS Technologies FPGA Architecture Design – Layout Design, Open FPGA Neuromorphic Computing – Spiking Neural Networks, Neuron models Chiplets based heterogeneous designs #QuantumControl #QuantumKeyDistribution #QuantumComputing

Scientists from Tsinghua University have unveiled #Taichi, a light-based artificial intelligence chip that could revolutionise the field of AGI 🧠. Unlike traditional electronic chips, Taichi operates using photons, making it not only faster but also more energy-efficient by a staggering 1,000 times compared to the latest electronic GPUs like the NVIDIA H100 🌟. What sets Taichi apart is its ability to perform large-scale tasks and support large network models, boasting 13.96 million parameters. In tests, it demonstrated an impressive 91.89% accuracy in recognizing 1,623 different handwritten characters and showed prowess in content generation, creating music and art in various styles 🎨🎵. here's more: https://lnkd.in/dT9DgAvN #ArtificialIntelligence #Photonics #Innovation #TechTrends #FutureIsNow #LLM #AGI #Chip #Processing #

AI everywhere, how can silicon be left behind !!! VLSID 2025 bring you - Silicon Meets AI: Sustainable innovations in Accelerated Computing, Secure Connectivity and Intelligent Mobility Call for Papers open. Submit yours now!

The 1st FPGA Developers' Forum is about to kick off at CERN, chaired by the MPP scientist Davide Cieri, PhD. From today, June 11 to 13, experts at the will discuss the use of reprogrammable FPGA chips for cutting-edge applications in both science and industry. Topics to be covered are machine learning, the creation of reusable IP cores and effective techniques for signal management. Agenda available at: https://cern.ch/fdf24 #FPGA #MachineLearning #HardwareDesign #TechConference #FDF24 https://lnkd.in/dHyBB6Pu

I am so proud of my students (current and former) who have been selected to receive the Best Student Paper Award for the 2024 IEEE Symposium on VLSI Circuits! Each year, the VLSI Circuits Symposium has presented a Best Student Paper Award to encourage the research of student projects that will lead the next generation. Only one paper is selected each year. We are honored to announce that “SPIRIT: A Seizure Prediction SoC with a 17.2nJ/cls Unsupervised Online-Learning Classifier and Zoom Analog Frontends” by Adelson Chua*, Aviral Pandey*, Ryan Kaveh, Sina Faraji, Justin Doong, and Rikky Muller has been selected for the award. Congratulations to the whole SPIRIT team, and particularly to co-lead authors Adel and Avi who gave an outstanding talk at the conference! #VLSI #SSCS #Brain #EECS #UCBerkeley SPIRIT is an SoC integrating an unsupervised online-learning seizure prediction classifier with eight 14.4μW, 0.057mm2, 90.5dB dynamic range, Zoom Analog Frontends. SPIRIT achieves, on average, 97.5%/96.2% sensitivity/specificity, predicting seizures an average of 8.4 minutes before they occur. Its classifier consumes 17.2μW and occupies 0.14mm2, the lowest reported for a prediction classifier by >134x in power and >5x in area.

In a groundbreaking advancement in digital surveillance technology, researchers Dr Abdul A., Assistant Professor, Department of Computer Science and Engineering and BTech student Sai Karthikeya Ganesh Prasad Gottipati have been awarded a patent for their novel system and method titled “A System and a Method for Automatic Face Detection and Media Capturing.” This cutting-edge technology, designed to surpass the capabilities of human vision, offers a powerful tool for detecting, tracking, identifying, and verifying human faces in digital images captured via digital cameras, marking a significant leap in face recognition technology. #researchatsrmap #SRMAP #SRMUAP #FaceDetectionTech #DigitalSurveillance #InnovativeSecurity #TechForGood #PublicSafetyInnovation #AIInSecurity #ChildSafety #SmartCities #SurveillanceTech #TechBreakthrough

Dear #quantum community, users, and followers, We have published a new #scientificpublication in the Solid-State Electronics Journal (Volume 215, May 2024, # 108883), co-authored by Dr. Philippe Galy from STMicroelectronics (France) that illustrates some core features of our spin-qubit modeling software QTCAD®. Thank you and congratulations to our 2 authors Dr. Félix Beaudoin and Dr. Pericles Philippopoulos for the tremendous work! This collaborative work with our historic #partner demonstrates how QTCAD® can be used to obtain information about single-qubit gate fidelities in an industrially-compatible 28 nm FD-SOI device, before its fabrication. Notably, we have focused on: >>Computing electron eigenstates in the presence of an inhomogeneous magnetic field; >>Simulating Rabi oscillations using EDSR; >>Bounding the single-qubit gate fidelities by computing the leakage out of the qubit subspace. In this work, we have focused on a single-qubit device. The current version of QTCAD® (v1.3) can also simulate multi-dot systems which makes of it a truly unique tool very useful for quantum device designers and researchers. Do not hesitate to test it. It is free for 30 days and runs on a laptop! Direct link to the paper: https://lnkd.in/eRjqA8eY As a reminder, you can find many previous #publications using or citing QTCAD® on our website, here (apply product filter accordingly): https://lnkd.in/dyx4QwZf Do not forget to check out our online QTCAD® documentation portal: https://lnkd.in/g82RKrNQ Thank you very much and enjoy the reading.   By the Nanoacademic’s Quantum Technology Team #quantumcomputing #quantumcomputers #quantumsecurity #quantumtechnology #quantumnetwork #quantummechanics #quantumcommunication #disruptivetechnologies #qubit #qubits #semiconductors #electronics #engineering #spin #QuantumTech #Innovation #MillionQubitEra #partnership

Computers: Spin Qubits in Semiconductor Quantum Dots Using QTCAD Software from Nanoacademic technologies. Publication link:-https://lnkd.in/dY5Zsymb The new quantum era is expected to have an unprecedented social impact, enabling the research of tomorrow in several pivotal fields. These perspectives require a physical system able to encode, process and store for a sufficiently long amount of time the quantum information. However, the optimal engineering of currently available quantum computers, which are small and flawed by several non-ideal phenomena, requires an efficacious methodology for exploring the design space. #QTCAD #Quantumtechnology #spinqubit #semiconductor #quantumphysics

🤖🔬𝐌𝐢𝐜𝐫𝐨𝐬𝐜𝐨𝐩𝐞 𝐈𝐦𝐚𝐠𝐞 𝐨𝐟 𝐌𝐢𝐜𝐫𝐨𝐜𝐡𝐢𝐩 👉Follow me; Muhammet Furkan Bolakar 💎An image of a processor under a microscope reveals its complex structure and incredible detail at the micro scale. 💎Modern microchips contain billions of transistors, each about 30 square nanometers in size. These transistors are small enough to fit in the cross-section of a human hair and enable computers to operate at high speed and precision. ✅For example, even though the Intel i486 processor was built more than 30 years ago, it still looks like an incredible piece of technology under a scanning electron microscope. These microscopic images of processors help us understand how far technology has come and how our electronic devices have become so powerful and compact. #ai #microchip #computer #microscope #machinelearning #technology #engineering #intel #amd #quantum #microbiology #molecularbiology #microbioscience #future