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Showing below up to 100 results in range #101 to #200.
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- Benchmarking a RISC-V-based Server on LLMs/Foundation Models (SA or MA)
- Benchmarking a heterogeneous 217-core MPSoC on HPC applications
- Benchmarking a heterogeneous 217-core MPSoC on HPC applications (M/1-3S)
- Benchmarking a heterogeneous 217-core MPSoC on HPC applications (M/1-3S))
- BigPULP: Multicluster Synchronization Extensions
- BigPULP: Shared Virtual Memory Multicluster Extensions
- Big Data Analytics Benchmarks for Ara
- Biomedical Systems on Chip
- BirdGuard
- Birds Long Term Monitoring With Ultra Low Power Wireless Sensor Node
- Bluetooth Low Energy network with optimized data throughput
- Bluetooth Low Energy receiver in 65nm CMOS
- Bridging QuantLab with LPDNN
- Bringing XNOR-nets (ConvNets) to Silicon
- Bringup and Evaluation of an Energy-efficient Heterogeneous Manycore Compute Platform (1-2S)
- Brunn test
- Build the Fastest 2G Modem Ever
- Building an RTL top level for a Mempool-based Heterogeneous SoC (M/1-3S)
- CLIC for the CVA6
- CMOS power amplifier for field measurements in MRI systems
- CPS Software-Configurable State-Machine
- Cell-Free mmWave Massive MIMO Communication
- Cell Measurements for the 5G Internet of Things
- Cerebellum: Design of a Programmable Smart-Peripheral for the Ariane Core
- Change-based Evaluation of Convolutional Neural Networks
- Channel Decoding for TD-HSPA
- Channel Estimation and Equalization for LTE Advanced
- Channel Estimation for 3GPP TD-SCDMA
- Channel Estimation for 5G Cellular IoT and Fast Fading Channels
- Channel Estimation for TD-HSPA
- Characterization of the susceptibility to cosmic radiation of wide bandgap power devices by radioactive sources and at cryogenic temperatures
- Characterization techniques for silicon photonics-Lumiphase
- Charge and heat transport through graphene nanoribbon based devices
- Charging System for Implantable Electronics
- Circuits and Systems for Nanoelectrode Array Biosensors
- Classification of Evoked Local-Field Potentials in Rat Barrel Cortex using Hyper-dimensional Computing
- Combining Multi Sensor Imaging and Machine Learning for Robust Far-Field Vision
- Combining Spiking Neural Networks with Hyperdimensional Computing for Autonomous Navigation
- Compiler Profiling and Optimizing
- Compressed Sensing Reconstruction on FPGA
- Compressed Sensing for Wireless Biosignal Monitoring
- Compression of Ultrasound data on FPGA
- Compression of iEEG Data
- Computation of Phonon Bandstructure in III-V Nanostructures
- Configurable Ultra Low Power LDO
- Contextual Intelligence on Resource-constraint Bluetooth LE IoT Devices
- Continual Learning for Adaptive EEG Monitoring in Epileptic Seizure Detection
- Contrastive Learning for Self-supervised Clustering of iEEG Data for Epileptic Patients
- Control an external ADC using Programmable Real-Time Unit (PRU) Subsystem on Beaglebone Black used as embedded HPC-performance-monitoring device
- Convolution Neural Networks on our Ultra-Low Power Mult-Core Plattform PULP
- Counter-based Fast Power Estimation using FPGAs (M/1-3S)
- Covariant Feature Detector on Parallel Ultra Low Power Architecture
- Creating A Boundry Scan Generator (1-3S/B/2-3G)
- Creating A Reshuffling Mid-end For Reorganizing Data Inside The Compute Cluster (1-3S/B)
- Creating A Technology-independent USB1.0 Host Implementation Targetting ASICSs (1-3S/B)
- Creating a Compact Power Supply and Monitoring System for the Occamy Chip (1-3S/B/2-3G)
- Creating a Free and Open-Source Verification Environment for Our New DMA Engine (1-3S/B)
- Creating a HDMI Video Interface for PULP
- Creating an At-memory Low-overhead Bufferless Matrix Transposition Accelerator (1-3S/B)
- Cycle-Accurate Event-Based Simulation of Snitch Core
- DC-DC Buck converter in 65nm CMOS
- DaCe on Snitch
- Data Augmentation Techniques in Biosignal Classification
- Data Mapping for Unreliable Memories
- Deconvolution Accelerator for On-Chip Semi-Supervised Learning
- Deep Convolutional Autoencoder for iEEG Signals
- Deep Learning-based Global Local Planner for Autonomous Nano-drones
- Deep Learning Based Anomaly Detection in ECG Signals Using Foundation Models
- Deep Unfolding of Iterative Optimization Algorithms
- Deep neural networks for seizure detection
- Design-Space Exploration of Low-Resolution Matrix-Vector Multipliers
- Design Of A Biomarker Assay Based On Responsive Magnetic Nanoparticles
- Design and Evaluation of a Small Size Avalanche Beacon
- Design and Exploitation of a Test-Bench for Non-Destructive Characterization of the Susceptibility of Silicon Carbide (SiC) Power Devices to Cosmic Radiation
- Design and Implementation of a Fully-digital Platform-independent Integrated Temperature Sensor Enabling DVFS in Open-source Tapeouts (1-3S/B)
- Design and Implementation of a multi-mode multi-master I2C peripheral
- Design and Implementation of an Approximate Floating Point Unit
- Design and Implementation of ultra low power vision system
- Design and implementation of the front-end for a portable ionizing radiation detector
- Design of Charge-Pump PLL in 22nm for 5G communication applications
- Design of MEMs Sensor Interface
- Design of Power-Noise-Efficient Discrete-Time Amplifier Using Open-Source Tools
- Design of State Retentive Flip-Flops
- Design of Streaming Data Platform for High-Speed ADC Data
- Design of Time-Encoded Spiking Neural Networks (IBM-Zurich)
- Design of a 25 Gbps SerDes for optical chip-to-chip communication
- Design of a CAN Interface to Enable Reliable Sensors-to-Processors Communication for Automotive-oriented Embedded Applications (1M)
- Design of a Digital Audio Module for Ultra-Low Power Cellular Applications
- Design of a Fused Multiply Add Floating Point Unit
- Design of a High-​performance Hybrid PTZ for Multimodal Vision Systems
- Design of a Low Power Smart Sensing Multi-modal Vision Platform
- Design of a Prototype Chip with Interleaved Memory and Network-on-Chip
- Design of a Reconfigurable Vector Processor Cluster for Area Efficient Radar Processing (1M)
- Design of a Scalable High-Performance and Low-Power Interface Based on the I3C Protocol (1-3S/B)
- Design of a Scalable High-Performance and Low-Power Interface Based on the I3C Protocol (1M)
- Design of a Scalable High-Performance and Low-Power Interface Based on the I3C Protocol (B/1-3S)
- Design of a VLIW processor architecture based on RISC-V
- Design of an Area-Optimized Soft-Error Resilient Processing Core for Safety-Critical Systems (1M)
- Design of an Energy-Efficient Ethernet Interface for Linux-capable Systems
- Design of an LTE Module for the Internet of Things
