Results 121 to 130 of about 7,246 (295)
Complex dynamics, often avoided in electromechanical design, can enhance soft robotics. We develop durable magnetic soft actuators operating in tunable dynamic regimes, enabling random number generation, stochastic computing, and time‐series prediction.
Eduardo Sergio Oliveros‐Mata +14 more
wiley +1 more source
Fast Generation of Custom Floating-Point Spatial Filters on FPGAs
Convolutional Neural Networks (CNNs) have been utilised in many image and video processing applications. The convolution operator, also known as a spatial filter, is usually a linear operation, but this linearity compromises essential features and ...
Nelson Campos +3 more
doaj +1 more source
Error-Free Transformations in Real and Complex Floating Point Arithmetic
International audienceError-free transformation is a concept that makes it possible to compute accurate results within a floating point arithmetic. Up to now, it has only be studied for real floating point arithmetic.
Graillat, Stef +1 more
core
Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison +4 more
wiley +1 more source
Floating-to-Fixed-Point Conversion for Digital Signal Processors
Digital signal processing applications are specified with floating-point data types but they are usually implemented in embedded systems with fixed-point arithmetic to minimise cost and power consumption.
Menard Daniel +2 more
doaj +1 more source
A CORDIC-based floating point arithmetic unit
S.30.3.1-30.3.4A floating-point arithmetic unit based on the CORDIC algorithm is described. It computes a wide range of arithmetic, trigonometric, and hyperbolic functions and achieves a normalized peak performance of 220 MFLOPs.
Hahn, H. +3 more
core
Physics‐Grounded Probabilistic Bits for Hardware‐Efficient Intelligent Inference and Optimization
Si–SiNx interface traps are harnessed as a complementary metal–oxide–semiconductor‐compatible source of controllable randomness for probabilistic bits. Pulse‐width‐programmed stochastic capture converts nanoscale defect dynamics into Boltzmann‐consistent binary outputs, while a physics‐based Simulation Program with Integrated Circuit Emphasis model ...
Dokyoung Lee +3 more
wiley +1 more source
Reliable Floating-Point Arithmetic Algorithms for Error-Coded Operands
Reliable floating-point arithmetic is vital for dependable computing systems. It is also important for future high-density VLSI realizations that are vulnerable to soft-errors.
Lo, Jien Chung
core +1 more source
A novel soft robotic propeller overcomes traditional efficiency‐flexibility tradeoffs via a hybrid pneumatic‐cable actuation strategy. This architecture enables active stiffness modulation with dual‐mode locomotion: tunable biomimetic swimming and earthworm‐inspired wriggling for confined spaces.
Jiazi Geng +6 more
wiley +1 more source
Algorithms for Arbitrary Precision Floating Point Arithmetic
We present techniques which may be used to perform computations of very high accuracy using only straightforward floating point arithmetic operations of limited precision, and we prove the validity of these techniques under very general hypotheses ...
Douglas M. Priest
core

