1,510 technical terms and definitions
mainboard, system board, ATX, chipset, CPU socket, UEFI, PCIe slot
A motherboard is the main printed circuit board of a computer, the platform that physically holds the processor, memory modules and expansion cards and supplies the electrical…
multimodal ai
Motion Compensation is aligning frames using estimated motion to reduce temporal redundancy and improve reconstruction - It improves compression, interpolation, and restoration…
motion planning path finding, motion planning path, planning path finding, motion planning, planning path, path finding
Motion Planning Path Finding Introduction & Motivation Motion Planning Path Finding addresses a central problem in robotics process control and path-planning-collision-free…
motion segmentation moving object, motion segmentation moving, segmentation moving object, motion segmentation, segmentation moving, moving object
Motion Segmentation Moving Object Introduction & Motivation Motion Segmentation Moving Object addresses a central problem in vision process control…
model optimization
Movement Pruning is a pruning method that removes weights based on optimization trajectory movement rather than magnitude alone - It is effective in transfer-learning…
Movement Pruning Introduction & Motivation Movement Pruning addresses a central problem in reducing the size and cost of compression models: how to Reduce the size and inference…
Movement Pruning (Extended Study) Introduction & Motivation Movement Pruning (Extended Study) addresses a central problem in reducing the size and cost of compression models: how…
Movement Pruning (Extended Study) Introduction & Motivation Movement Pruning (Extended Study) addresses a central problem in reducing the size and cost of compression models: how…
isend irecv asynchronous, mpi request wait test, communication computation overlap mpi, mpi persistent communication
MPI Non-Blocking Communication is a message passing paradigm where send and receive operations return immediately without waiting for the message transfer to complete, allowing…
mpnn, graph neural networks
MPNN Framework is a formal graph neural network template defined by message, update, and readout operators - It standardizes how information moves along edges, is integrated…
mosaic, open
MPT: Mosaic Pretrained Transformer Overview MPT is a series of open-source LLMs created by MosaicML (acquired by Databricks). They were designed to showcase Mosaic's efficient…
mpt, mosaicml pretrained transformer, foundation model
MPT (MosaicML Pretrained Transformer) is a family of open-source, commercially usable language models created by MosaicML (now part of Databricks), designed to demonstrate that…
mqrnn, time series models
MQRNN is multi-horizon quantile recurrent neural network for probabilistic time-series forecasting. - It predicts multiple future quantiles simultaneously to represent forecast…
mqtt protocol iot security, mqtt protocol iot, protocol iot security, mqtt protocol, protocol iot, iot security
MQTT Protocol IoT Security Introduction & Motivation MQTT Protocol IoT Security addresses a central problem in security-protocols process control…
mram free layer switching variation prediction machine learning, mram free, layer switching variation, mram mtj ram, mram free layer switching variation prediction
MRAM Free Layer Switching Variation Prediction with Machine Learning Introduction & Motivation MRAM Free Layer Switching Variation Prediction with Machine Learning addresses…
mram mtj switching variability prediction, mram mtj switching, mtj switching variability, switching variability prediction, mram mtj, mtj switching, switching variability
MRAM MTJ Switching Variability Prediction with Machine Learning Introduction & Motivation MRAM MTJ Switching Variability Prediction with Machine Learning addresses a central…
mram stt switching variability prediction, mram stt switching, stt switching variability, switching variability prediction, mram stt, stt switching, switching variability
MRAM STT Switching Variability Prediction with Machine Learning Introduction & Motivation MRAM STT Switching Variability Prediction with Machine Learning addresses a central…
mram tunnel junction uniformity prediction, mram tunnel junction, tunnel junction uniformity, junction uniformity prediction, mram tunnel, tunnel junction
MRAM Tunnel Junction Uniformity Prediction with Machine Learning Introduction & Motivation MRAM Tunnel Junction Uniformity Prediction with Machine Learning addresses a central…
mrp, supply chain & logistics
MRP is material requirements planning that calculates component demand from production schedules and inventory status - BOM structures, lead times, and on-hand balances are netted…
mrp, supply chain & logistics
MRP II is manufacturing resource planning that extends MRP with capacity and financial planning integration - Material plans are synchronized with labor, equipment, and budget…
mtbf, mean time between failures, production
MTBF (Mean Time Between Failures) measures the average operational time a semiconductor manufacturing tool runs between unscheduled breakdowns, serving as the primary reliability…
mttr, mean time to repair, production
MTTR (Mean Time To Repair) measures the average time required to restore a semiconductor manufacturing tool from an unscheduled breakdown to full operational status, directly…
Multi-Agent Coordination Strategies Introduction & Motivation Multi-Agent Coordination Strategies addresses a central problem in reinforcement policy learning…
llm agent collaboration, tool using agents, autonomous ai agents, agent orchestration
A multi-agent system splits a task across several LLM instances rather than asking one model to do everything, and the reason this helps is more specific than "more compute"…
multi agent path planning, multi agent path, agent path planning, multi agent, agent path, path planning
Multi Agent Path Planning Introduction & Motivation Multi Agent Path Planning addresses a central problem in robotics process control and multi-agent-motion-conflict-free…
Multi-Agent Reinforcement Learning Introduction & Motivation Multi-Agent Reinforcement Learning addresses a central problem in sequential decision making via deeprl: how to Learn…
multi agent reinforcement learning game theoretic learning, multi agent, reinforcement learning game, 2d ai api ctde dqn ii, multi-agent reinforcement learning
Multi-Agent Reinforcement Learning & Game-Theoretic Learning Introduction & Motivation Multi-agent reinforcement learning (MARL) extends the single-agent RL framework to settings…
multi-agent reinforcement learning, multi-agent reinforcement, reinforcement learning
Multi-Agent Reinforcement Learning Introduction & Motivation Multi-Agent Reinforcement Learning addresses a central problem in ml process control and convergence-episodes-to-nash…
Multi-Agent Reinforcement Learning (Extended Study) Introduction & Motivation Multi-Agent Reinforcement Learning (Extended Study) addresses a central problem in sequential…
Multi-Agent Reinforcement Learning (Extended Study) Introduction & Motivation Multi-Agent Reinforcement Learning (Extended Study) addresses a central problem in sequential…
multi agent simulation prediction for fab logistics with machine learning, multi agent simulation prediction fab logistics machine learning, multi agent
Multi-Agent Simulation Prediction for Fab Logistics with Machine Learning Introduction & Motivation Multi-Agent Simulation Prediction for Fab Logistics with Machine Learning…
ai agents
A multi-agent system splits a task across several LLM instances rather than asking one model to do everything, and the reason this helps is more specific than "more compute"…
multi-agent system coordination, multi-agent system, system coordination
A multi-agent system splits a task across several LLM instances rather than asking one model to do everything, and the reason this helps is more specific than "more compute"…
multi-armed bandit exploration-exploitation, multi-armed bandit, bandit exploration-exploitation
Multi-Armed Bandit Exploration-Exploitation with Machine Learning Introduction & Motivation Multi-Armed Bandit Exploration-Exploitation with Machine Learning addresses a central…
multi armed bandits contextual bandits sequential decision making under uncertainty, multi armed, bandits contextual bandits, exp3 kt rl ucb ucb1
Multi-Armed Bandits & Contextual Bandits: Sequential Decision-Making Under Uncertainty Introduction & Motivation Many real-world decision-making problems require repeatedly…
multi-beam e-beam writer throughput yield prediction, multi-beam e-beam writer, e-beam writer throughput, writer throughput yield, throughput yield prediction
Multi-Beam E-Beam Writer Throughput Yield Prediction with Machine Learning Introduction & Motivation Multi-Beam E-Beam Writer Throughput Yield Prediction with Machine Learning…
multi beam mask writer dose stability prediction with machine learning, multi beam mask writer dose stability prediction machine learning, multi beam, mask writer dose
Multi-Beam Mask Writer Dose Stability Prediction with Machine Learning Introduction & Motivation Multi-Beam Mask Writer Dose Stability Prediction with Machine Learning addresses…
multi-beam mask writer stitching error prediction, multi-beam mask writer, mask writer stitching, writer stitching error, stitching error prediction, multi-beam mask
Multi-Beam Mask Writer Stitching Error Prediction with Machine Learning Introduction & Motivation Multi-Beam Mask Writer Stitching Error Prediction with Machine Learning addresses…
multi-bridge channel fet uniformity prediction, multi-bridge channel fet, channel fet uniformity, fet uniformity prediction, multi-bridge channel, channel fet, fet uniformity
Multi-Bridge Channel FET Uniformity Prediction with Machine Learning Introduction & Motivation Multi-Bridge Channel FET Uniformity Prediction with Machine Learning addresses…
Multi-Camera Tracking and Re-Identification Introduction & Motivation Multi-Camera Tracking and Re-Identification addresses a central problem in vision processing…
infrastructure
Multi-cloud training is the distributed training strategy that uses infrastructure from more than one public cloud provider - it improves portability and risk diversification but…
generative models
Multi-ControlNet is the setup that applies multiple control branches simultaneously to combine different structural constraints - it enables richer control by blending…
multi-core interference modeling and prediction, multi-core interference modeling, interference modeling prediction, multi-core interference, interference modeling, modeling prediction
Multi-Core Interference Modeling and Prediction Introduction & Motivation Multi-Core Interference Modeling and Prediction addresses a central problem in modeling process control…
multi-core synchronization protocol, multi-core synchronization, synchronization protocol
Multi-Core Synchronization Protocol Introduction & Motivation Multi-Core Synchronization Protocol addresses a central problem in architecture process control and deadlock-freedom…
multi-corner multi-mode timing signoff prediction, multi-corner multi-mode timing, multi-mode timing signoff, timing signoff prediction, multi-corner multi-mode
Multi-Corner Multi-Mode Timing Signoff Prediction with Machine Learning Introduction & Motivation Multi-Corner Multi-Mode Timing Signoff Prediction with Machine Learning addresses…
self-supervised learning
Multi-Crop Training is a data augmentation strategy in self-supervised learning where multiple crops of different sizes are extracted from each image — typically 2 large global…
self-supervised learning
Multi-crop training in self-supervised learning is the view-generation strategy that uses a few large crops and several small crops of the same image to enforce scale-consistent…
multi-die thermal coupling prediction, multi-die thermal coupling, thermal coupling prediction, multi-die thermal, thermal coupling, coupling prediction
Multi-Die Thermal Coupling Prediction with Machine Learning Introduction & Motivation Multi-Die Thermal Coupling Prediction with Machine Learning addresses a central problem…
generative models
Multi-diffusion is the generation strategy that coordinates multiple diffusion passes or regions to improve global consistency and detail - it helps produce large or complex…
multi-domain power gating leakage current prediction, multi-domain power gating, power gating leakage, gating leakage current, leakage current prediction
Multi-Domain Power Gating Leakage Current Prediction with Machine Learning Introduction & Motivation Multi-Domain Power Gating Leakage Current Prediction with Machine Learning…