category: AI/ML/DL

category: IoT, Security & Automotive

Univ. of Manchester & Shandong Univ.–Synaptic Transistors
By Technical Paper Link - 01 Jul, 2022 - Comments: 0

Research paper titled "Synaptic transistors with a memory time tunability over seven orders of magnitude" from researchers at The University of Manchester (UK) and Shandong Technology Center of Nanodevices and Integration, School of Microelectronics, Shandong University, China. Abstract "The human brain is capable of short- and long-term memory with retention times ranging from a few second... » read more

“All-in-One” 8×8 Array of Low-Power & Bio-inspired Crypto Engines w/IoT Edge Sensors Based on 2D Memtransistors
By Technical Paper Link - 01 Jul, 2022 - Comments: 0

New technical paper titled "All-in-one, bio-inspired, and low-power crypto engines for near-sensor security based on two-dimensional memtransistors" from researchers at Penn State University. Abstract: "In the emerging era of the internet of things (IoT), ubiquitous sensors continuously collect, consume, store, and communicate a huge volume of information which is becoming increasingly vuln... » read more

Coverage-Directed Test Selection Method for Automatic Test Biasing During Simulation-Based Verification
By Technical Paper Link - 22 Jun, 2022 - Comments: 0

New research paper titled "Supervised Learning for Coverage-Directed Test Selection in Simulation-Based Verification" from researchers at University of Bristol and Infineon Technologies. Abstract: "Constrained random test generation is one the most widely adopted methods for generating stimuli for simulation-based verification. Randomness leads to test diversity, but tests tend to repeate... » read more

End-to-End System for Object Localization By Coupling pMUTs to a Neuromorphic RRAM-based Computational Map
By Technical Paper Link - 20 Jun, 2022 - Comments: 0

New research paper titled "Neuromorphic object localization using resistive memories and ultrasonic transducers" from researchers at CEA, LETI, Université Grenoble Alpes and others. Abstract "Real-world sensory-processing applications require compact, low-latency, and low-power computing systems. Enabled by their in-memory event-driven computing abilities, hybrid memristive-Complementary... » read more

Deep Reinforcement Learning to Dynamically Configure NoC Resources
By Technical Paper Link - 17 Jun, 2022 - Comments: 0

New research paper titled "Deep Reinforcement Learning Enabled Self-Configurable Networks-on-Chip for High-Performance and Energy-Efficient Computing Systems" from Md Farhadur Reza at Eastern Illinois University. Find the open access technical paper here. Published June 2022. M. F. Reza, "Deep Reinforcement Learning Enabled Self-Configurable Networks-on-Chip for High-Performance and Energ... » read more

ETH Zurich: PIM (Processing In Memory) Architecture, UPMEM & PrIM Benchmarks
By Technical Paper Link - 17 Jun, 2022 - Comments: 0

New paper technical titled "Benchmarking a New Paradigm: An Experimental Analysis of a Real Processing-in-Memory Architecture" led by researchers at ETH Zurich. Researchers provide a comprehensive analysis of the first publicly-available real-world PIM architecture, UPMEM, and introduce PrIM (Processing-In-Memory benchmarks), a benchmark suite of 16 workloads from different application domai... » read more

MIT: Stackable AI Chip With Lego-style Design
By Technical Paper Link - 13 Jun, 2022 - Comments: 0

New technical paper titled "Reconfigurable heterogeneous integration using stackable chips with embedded artificial intelligence" from researchers at MIT, along with Harvard University, Tsinghua University, Zhejiang University, and others. Partial Abstract: "Here we report stackable hetero-integrated chips that use optoelectronic device arrays for chip-to-chip communication and neuromorphic... » read more

Finding Wafer Defects Using Quantum DL
By Technical Paper Link - 13 Jun, 2022 - Comments: 0

New research paper titled "Semiconductor Defect Detection by Hybrid Classical-Quantum Deep Learning" by researchers at National Tsing Hua University. Abstract "With the rapid development of artificial intelligence and autonomous driving technology, the demand for semiconductors is projected to rise substantially. However, the massive expansion of semiconductor manufacturing and the develo... » read more

AlphaGo Game Influences Argonne’s New AI Tool For Materials Discovery
By Technical Paper Link - 10 Jun, 2022 - Comments: 0

Research paper titled "Learning in continuous action space for developing high dimensional potential energy models" from researchers at Argonne National Lab with contributions from Oak Ridge National Laboratory. Abstract "Reinforcement learning (RL) approaches that combine a tree search with deep learning have found remarkable success in searching exorbitantly large, albeit discrete action ... » read more

Deep Learning Applications For Material Sciences: Methods, Recent Developments
By Technical Paper Link - 10 Jun, 2022 - Comments: 0

New technical paper titled "Recent advances and applications of deep learning methods in materials science" from researchers at NIST, UCSD, Lawrence Berkeley National Laboratory, Carnegie Mellon University, Northwestern University, and Columbia University. Abstract "Deep learning (DL) is one of the fastest-growing topics in materials data science, with rapidly emerging applications spanning... » read more

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