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Minibike
A minibike, also called a minicycle, is a small, lightweight motorcycle with a low frame, generally made for off-road recreational use rather than street transportation.
Minibus
A minibus, also called a microbus or minicoach, is a small passenger road vehicle seating about 8 to 19 people, used for scheduled services, paratransit, and private hire.
MiniCheetaX
MiniCheetaX refers to the MIT Mini Cheetah, a small four-legged research robot from MIT's Biomimetic Robotics Lab that in 2019 became the first quadruped to perform a backflip.
Minicomputer
A minicomputer is a small, relatively inexpensive, laboratory-oriented computer first developed in the 1960s and 1970s; DEC's PDP-8 is considered the first, and the PDP-11 ran the original UNIX.
MiniCPM
MiniCPM is a family of small language and multimodal models developed by OpenBMB, designed for on-device use, with text models from 1B to 4B parameters released since 2024.
MiniCPM-V
MiniCPM-V is a family of open-weight multimodal large language models developed by OpenBMB, first released in February 2024 and designed to run image and video understanding on consumer devices like smartphones.
MiniDisc
The MiniDisc, also written Sony MiniDisc, is a magneto-optical disc format for digital audio recording and playback that Sony launched in 1992 and ended in 2025.
Minié ball
The Minié ball, or Minie bullet, is a conical muzzle-loading rifle bullet invented by Claude-Étienne Minié in 1849, the standard ammunition of the American Civil War.
MiniGPT-4
MiniGPT-4 is an open-source vision-language model developed at KAUST and introduced in 2023, aligning a frozen vision encoder with the Vicuna language model through one projection layer.
MiniGrid
MiniGrid, previously known as gym-minigrid, is an open-source Python library of lightweight, partially observable 2D grid-world environments for reinforcement learning research, maintained by the Farama Foundation and built on Gymnasium.
Minikube
Minikube is an open-source tool that runs a local single-node Kubernetes cluster on macOS, Linux, and Windows, used for learning and application development rather than production.
MiniLLM
MiniLLM is a knowledge-distillation method for generative large language models, introduced in 2023 by researchers at Tsinghua University and Microsoft Research, that replaces forward with reverse Kullback–Leibler divergence.
MiniLM
MiniLM is a family of small pre-trained Transformer language models created by Microsoft Research through deep self-attention distillation from teachers like BERT, retaining over 99% of teacher accuracy with half the parameters.
Minimax
Minimax, also known as the minimax algorithm or maximin criterion, is a decision principle minimizing maximum possible loss, used in zero-sum game search and proved for game theory by von Neumann in 1928.
MiniMax
MiniMax is a Shanghai-based artificial intelligence company founded by Yan Junjie that develops text, video, and audio foundation models and runs the Talkie and Hailuo AI products.
MiniMax (model family)
MiniMax is a family of large language models from the Chinese AI company MiniMax, using a hybrid mixture-of-experts design that reaches context windows of up to 4 million tokens.
MiniMax Group (稀宇科技)
MiniMax Group (稀宇科技, Xiyu Technology) is a Shanghai artificial intelligence company founded by Yan Junjie in 2021, known for its M reasoning models, Hailuo video models, and Talkie app.
MiniMax H3
MiniMax H3 is an omni-modal generative model released by AI company MiniMax in 2026, generating video with native stereo audio at up to 2K resolution.
MiniMax H3 jurisdictional carve-out
The MiniMax H3 jurisdictional carve-out is a license condition in MiniMax's August 2026 open-weight release of its H3 video model, barring users in the US, EU, UK, and South Korea.
MiniMax Hong Kong IPO
The MiniMax Hong Kong IPO was the January 2026 initial public offering of Chinese AI startup MiniMax, which raised about $619 million and doubled on debut.
Minimax optimization
Minimax optimization seeks a saddle point where one player minimizes a shared objective and an adversary maximizes it, the formal language of GANs and robust learning.
MiniMax Speech
MiniMax Speech is a commercial text-to-speech and zero-shot voice-cloning model family from the Chinese AI company MiniMax, first released in January 2025 and supporting over 40 languages.
MiniMax-M1
MiniMax-M1 is an open-weight large language model for reasoning released by the Chinese AI company MiniMax in June 2025, supporting a 1 million-token context window.
Minimum cut
A minimum cut, also called min cut, is the cheapest partition of a graph's vertices into two sets, central to network flow through the max-flow min-cut theorem.
Minimum description length
The minimum description length (MDL) principle is a principle of inductive inference in statistical learning that selects the model compressing the data most effectively, balancing fit against complexity.
Minimum equipment list
A minimum equipment list (MEL) is a regulator-approved document listing the instruments and equipment on a specific aircraft that may be inoperative at dispatch, with conditions and time limits for flying.
Minimum mean square error combining
Minimum mean square error (MMSE) combining is a wireless receiver technique that weights signals from multiple antennas to minimize the mean square error, balancing interference suppression against noise amplification.
Minimum mean square error equalizer
A minimum mean square error (MMSE) equalizer is a linear filter at a digital communication receiver whose coefficients minimize the mean-squared error between transmitted symbols and the equalizer's estimates.
Minimum mean-square error channel estimation
Minimum mean-square error (MMSE) channel estimation is a statistical method that estimates a wireless channel by minimizing the expected squared error between the true and estimated channel response.
Minimum mean-square error interference rejection combining
Minimum mean-square error interference rejection combining (MMSE-IRC) is a multi-antenna receiver technique that places nulls toward dominant interferers, widely adopted in LTE from Release 11 and carried into 5G NR.