Alpaca
training techniques
Alpaca is an instruction-tuned model line trained from synthetic instruction datasets derived from larger teacher models - It is a core method in modern LLM training and safety…
15,410 technical terms and definitions
training techniques
Alpaca is an instruction-tuned model line trained from synthetic instruction datasets derived from larger teacher models - It is a core method in modern LLM training and safety…
code ai
AlphaCode is DeepMind's AI system designed to generate code at a competitive programming level, capable of solving novel coding problems requiring algorithmic reasoning…
healthcare ai
AI-powered diagnostics uses machine learning to assist in disease detection and diagnosis — analyzing symptoms, test results, imaging, and patient history to suggest possible…
protein structure prediction, protein folding neural network, alphafold2, esmfold, protein language model
AlphaFold is the deep learning system developed by DeepMind that predicts the three-dimensional structure of proteins from their amino acid sequence — solving a 50-year-old grand…
alphafold2 evoformer, msa multiple sequence alignment, protein folding ai, rosettafold structure prediction
AlphaFold2 Protein Structure Prediction: Evoformer Architecture and MSA Integration — revolutionizing biology via transformer-based structure prediction AlphaFold2, developed…
AlphaZero Self-Play Search Introduction & Motivation AlphaZero Self-Play Search addresses a central problem in sequential decision making via deeprl: how to Learn a policy that…
AlphaZero Self-Play Search (Extended Study) Introduction & Motivation AlphaZero Self-Play Search (Extended Study) addresses a central problem in sequential decision making via…
AlphaZero Self-Play Search (Extended Study) Introduction & Motivation AlphaZero Self-Play Search (Extended Study) addresses a central problem in sequential decision making via…
declarative, visualization
Altair: Declarative Visualization for Python Overview Altair is a statistical visualization library for Python, based on Vega-Lite. It is "Declarative", meaning you describe…
environmental & sustainability
Alternative Chemistries is replacement of conventional process chemicals with lower-impact options that maintain technical performance - It supports decarbonization, toxicity…
altitude oxygen partial pressure reliability prediction, altitude oxygen partial, oxygen partial pressure, partial pressure reliability, altitude oxygen
Altitude Oxygen Partial Pressure Reliability Prediction with Machine Learning Introduction & Motivation Altitude Oxygen Partial Pressure Reliability Prediction with Machine…
developing altitude and pressure compensation models, developing altitude pressure, altitude pressure compensation, pressure compensation models, developing altitude, altitude pressure
Developing altitude and pressure compensation models Introduction & Motivation Developing altitude and pressure compensation models addresses a central problem in Environmental /…
altitude pressure test failure prediction, altitude pressure test, pressure test failure, test failure prediction, altitude pressure, pressure test, test failure, failure prediction
Altitude Pressure Test Failure Prediction with Machine Learning Introduction & Motivation Altitude Pressure Test Failure Prediction with Machine Learning addresses a central…
aluminum barrier layer adhesion prediction, aluminum barrier layer, barrier layer adhesion, layer adhesion prediction, aluminum barrier, barrier layer, layer adhesion
Aluminum Barrier Layer Adhesion Prediction with Machine Learning Introduction & Motivation Aluminum Barrier Layer Adhesion Prediction with Machine Learning addresses a central…
aluminum electrolytic capacitor aging prediction, aluminum electrolytic capacitor, electrolytic capacitor aging, capacitor aging prediction, aluminum electrolytic
Aluminum Electrolytic Capacitor Aging Prediction with Machine Learning Introduction & Motivation Aluminum Electrolytic Capacitor Aging Prediction with Machine Learning addresses…
al metal etch, aluminum metal etch modeling, al etch modeling, aluminum chlorine etch, alcl3, metal etch plasma, aluminum plasma etch, bcl3 etch
Aluminum etch is a coupled surface-chemistry, ion-transport, heat-transfer, and residue-control process in which clearing the metal is only half the job: a successful recipe must…
aluminum nitride piezoelectric mems resonator drift prediction, aluminum nitride piezoelectric, nitride piezoelectric mems, piezoelectric mems resonator
Aluminum Nitride Piezoelectric MEMS Resonator Drift Prediction with Machine Learning Introduction & Motivation Aluminum Nitride Piezoelectric MEMS Resonator Drift Prediction…
aluminum nitride substrate thermal conductivity prediction, aluminum nitride substrate, nitride substrate thermal, substrate thermal conductivity, aluminum nitride
Aluminum Nitride Substrate Thermal Conductivity Prediction with Machine Learning Introduction & Motivation Aluminum Nitride Substrate Thermal Conductivity Prediction with Machine…
aluminum wire bond heel crack prediction, aluminum wire bond, wire bond heel, bond heel crack, heel crack prediction, aluminum wire, wire bond, bond heel, heel crack, crack prediction
Aluminum Wire Bond Heel Crack Prediction with Machine Learning Introduction & Motivation Aluminum Wire Bond Heel Crack Prediction with Machine Learning addresses a central problem…
design
An always-on domain is a power domain that remains continuously powered and never shuts down — providing essential infrastructure services (control, monitoring, wake-up logic)…
aws chatbot, conversational ai
Amazon Lex is an AWS conversational AI service for building chatbots and voice assistants — using deep learning for natural language understanding (NLU) and automatic speech…
axi interconnect design, axi burst transaction, axi outstanding transactions, axi ordering model
AMBA AXI Bus Protocol is ARM's Advanced eXtensible Interface specification that defines a high-performance, high-frequency point-to-point interconnect protocol supporting multiple…
ambient backscatter communication, ambient backscatter, backscatter communication
Ambient Backscatter Communication Introduction & Motivation Ambient Backscatter Communication addresses a central problem in wireless process control…
ambient temperature derating factor prediction, ambient temperature derating, temperature derating factor, derating factor prediction, ambient temperature
Ambient Temperature Derating Factor Prediction with Machine Learning Introduction & Motivation Ambient Temperature Derating Factor Prediction with Machine Learning addresses…
device physics
Ambipolar Diffusion is the coupled transport of electron-hole pairs in a semiconductor where the faster carrier species is slowed and the slower carrier is accelerated until both…
amhs overhead hoist transport congestion prediction, amhs overhead hoist, overhead hoist transport, hoist transport congestion, transport congestion prediction
AMHS Overhead Hoist Transport Congestion Prediction with Machine Learning Introduction & Motivation AMHS Overhead Hoist Transport Congestion Prediction with Machine Learning…
amhs vehicle battery degradation prediction, amhs vehicle battery, vehicle battery degradation, battery degradation prediction, amhs vehicle, vehicle battery
AMHS Vehicle Battery Degradation Prediction with Machine Learning Introduction & Motivation AMHS Vehicle Battery Degradation Prediction with Machine Learning addresses a central…
amhs vehicle collision risk prediction, amhs vehicle collision, vehicle collision risk, collision risk prediction, amhs vehicle, vehicle collision, collision risk
AMHS Vehicle Collision Risk Prediction with Machine Learning Introduction & Motivation AMHS Vehicle Collision Risk Prediction with Machine Learning addresses a central problem…
amhs vehicle routing efficiency prediction machine learning, amhs vehicle, routing efficiency prediction, amhs wip, amhs vehicle routing efficiency prediction
AMHS Vehicle Routing Efficiency Prediction with Machine Learning Introduction & Motivation AMHS Vehicle Routing Efficiency Prediction with Machine Learning addresses a central…
neural architecture search
AmoebaNet is an architecture-search family discovered through evolutionary methods on image-recognition tasks - Cell structures are evolved with mutation operators and selected…
pre amorphization implant PAI, solid phase epitaxial regrowth SPER, end of range EOR defects, channeling elimination, damage cascade threshold, cryogenic implant, dynamic annealing, germanium silicon PAI, amorphous crystalline interface
Amorphization occurs when a heavy enough ion implant dose displaces more silicon atoms than the crystal lattice can tolerate while remaining crystalline, causing the ordered…
amorphous oxide semiconductor tft stability prediction, amorphous oxide semiconductor, oxide semiconductor tft, semiconductor tft stability, amorphous oxide
Amorphous Oxide Semiconductor TFT Stability Prediction with Machine Learning Introduction & Motivation Amorphous Oxide Semiconductor TFT Stability Prediction with Machine Learning…
amorphous silicon deposition uniformity prediction machine learning, amorphous silicon, deposition uniformity prediction, pecvd, amorphous silicon deposition
Amorphous Silicon Deposition Uniformity Prediction with Machine Learning Introduction & Motivation Amorphous Silicon Deposition Uniformity Prediction with Machine Learning…
analog amplifier, RF amplifier, gain stage, power amplifier class
Amplifier design. creates controlled voltage, current or power gain while preserving the information carried by a signal. The design translates source, load and environment into…
amplifier linearity 1db compression point prediction, amplifier linearity 1db, linearity 1db compression, 1db compression point, compression point prediction, amplifier linearity
Amplifier Linearity 1dB Compression Point Prediction with Machine Learning Introduction & Motivation Amplifier Linearity 1dB Compression Point Prediction with Machine Learning…
amplitude encoding methods, amplitude encoding, encoding methods
Amplitude Encoding Methods Introduction & Motivation Amplitude Encoding Methods addresses a central problem in quantum-data-encoding process control and encoding-efficiency…
amsaa, reliability
AMSAA model is a non-homogeneous Poisson process reliability growth model used to estimate failure intensity improvement - Model parameters describe how failure occurrence changes…
amsaa, business & standards
AMSAA Model is the Crow-AMSAA non-homogeneous Poisson process model used to quantify reliability growth and failure intensity trends - It is a core method in advanced…
analog ai circuit design, analog ai circuit, ai circuit design, analog ai, ai circuit, circuit design
Analog AI Circuit Design Introduction & Motivation Analog AI Circuit Design addresses a central problem in hardware-accelerators process control and compute-density-ops-per-mm2…
analog circuit optimization using machine learning, analog circuit optimization, circuit optimization using, optimization using machine, using machine learning, analog circuit
Analog Circuit Optimization using Machine Learning Introduction & Motivation Analog Circuit Optimization using Machine Learning addresses a central problem in design-automation…
analog computing
Analog Computing Introduction & Motivation Analog Computing addresses a central problem in compute process control and energy prediction: how to Predict energy from analog-comp…
analog compute-in-memory conductance drift prediction, analog compute-in-memory conductance, compute-in-memory conductance drift, conductance drift prediction
Analog Compute-in-Memory Conductance Drift Prediction with Machine Learning Introduction & Motivation Analog Compute-in-Memory Conductance Drift Prediction with Machine Learning…
analog compute-in-memory drift prediction, analog compute-in-memory drift, compute-in-memory drift prediction, analog compute-in-memory, compute-in-memory drift, drift prediction
Analog Compute-in-Memory Drift Prediction with Machine Learning Introduction & Motivation Analog Compute-in-Memory Drift Prediction with Machine Learning addresses a central…
analog computing and precision trade-off, analog computing precision, computing precision trade-off, analog computing, computing precision, precision trade-off
Analog Computing and Precision Trade-Off Introduction & Motivation Analog Computing and Precision Trade-Off addresses a central problem in compute process control…
analog computing for neuromorphic systems, analog computing neuromorphic, computing neuromorphic systems, analog computing, computing neuromorphic, neuromorphic systems
Analog Computing for Neuromorphic Systems Introduction & Motivation Analog Computing for Neuromorphic Systems addresses a central problem in analog-neuromorphic process control…
analog computing and precision trade-off, analog computing precision, computing precision trade-off, analog computing, computing precision, precision trade-off
Analog Computing and Precision Trade-Off Introduction & Motivation Analog Computing and Precision Trade-Off addresses a central problem in compute process control…
analog computing precision vs energy trade, analog computing precision, computing precision vs, precision vs energy, vs energy trade, analog computing, computing precision, precision vs
Analog Computing Precision vs Energy Trade Introduction & Motivation Analog Computing Precision vs Energy Trade addresses a central problem in compute process control…
analog computing and precision vs energy trade-off, analog computing precision, computing precision vs, precision vs energy, vs energy trade-off, analog computing, precision vs
Analog Computing and Precision vs Energy Trade-Off Introduction & Motivation Analog Computing and Precision vs Energy Trade-Off addresses a central problem in compute process…
analog-digital isolation and coupling paths, analog-digital isolation coupling, isolation coupling paths, analog-digital isolation, isolation coupling, coupling paths
Analog-Digital Isolation and Coupling Paths Introduction & Motivation Analog-Digital Isolation and Coupling Paths addresses a central problem in analog process control…
analog-digital mixed-signal system integration, analog-digital mixed-signal system, mixed-signal system integration, analog-digital mixed-signal, mixed-signal system
Analog-Digital Mixed-Signal System Integration Introduction & Motivation Analog-Digital Mixed-Signal System Integration addresses a central problem in analog process control…