autonomoussystem.ai


#Autonomous System AI | Artificial Intelligence powered Autonomous System


#AI in the warehouse


#Mobile robots


#Humanoid robots


#Precision motion control system


#Antagonistic AI system | Behaving in disagreeable, confrontational or challenging ways | Forcing to confront assumptions | Building resilience | Developing healthier boundaries


#Throughput: Tokens per second


#Inference Speed Performance


#Autonomous Industry


#Generative AI Stack


#Generative AI Ecosystem


#Perceptual AI-based systems


#Edge AI-based systems


#AI hardware accelerator


#Latency: Time to first tokens chunk received


#Automated Guided Vehicle (AGV)


#Positioning accuracy


#Roboticist


#Mechatronics


#Natural feature navigation


#Simultaneous Localization and Mapping (SLAM)


#Safety scanner


#Odometry


#Fleet management


#Autonomous Navigation Technology (ANT)


#Vehicle Control


#Kinematic


#Optimized Path


#Obstacle Avoidance


#Mission Control


#GNSS


#Vehicle automation


#Autonomous Mobile Robot (AMR)


#Robotics engineering


#System design


#AMR platform


#Mobile robot


#Precision agriculture


#Environmental sustainability


#Artificial Intelligence for Aviation business


#AI factory


#Dynamic sensing


#Dispatching agile mobile robots equipped with sensors to collect data on site


#Industrial inspection robot


#Measurement sensor


#Navigating facilities built for humans


#Autonomous mobile inspection robot


#Asset-intensive industry


#Determining Jobs to be Done


#Detecting equipment failures


#Visual optical zoom camera


#Directional ultrasonic microphone


#High quality thermal camera


#Gas sensor


#360° Lidar scanner


#Updating 3D models on-demand


#Data contextualization


#AI-based inspection algorithm


#Object recognition


#Depth camera


#Lidar


#Robot control


#Universal Scene Description (OpenUSD)


#Synthetic Data Generation


#Robotics simulation


#Regression Testing


#Changes to prompt


#Retrieval strategy


#Model choice


#Granularity of information


#Annotation Queue


#Template language


#Making informed tradeoffs amongst latency, cost, and quality


#Evaluating response quality


#Multi-actor applications


#In-context (few-shot) learning


#Flow Engineering


#Iterative process


#Vector Retrieval


#Graph-based Metadata Technique


#Vector similarity search


#Robot set-up


#Initial training of robot


#Refresher training of robot


#Field certified robot


#Importing CAD models to perform realistic simulations


#Guiding robot through facilities


#Planning robot mission on-site


#Neural network


#Autonomous robots


#Automatic emergency braking (AEB)


#Warehouse automation


#Internet of Things (IoT)


#Autonomous mobile robots (AMRs)


#Autonomous forklifts


#Additive manufacturing


#Cold spray


#White Hydrogen


#Integrating LTE-M cellular connectivity into EV chargers to enable them to connect to Cloud to respond to dynamic electricity price changes


#Extracting interpretable features from LLMs


#Sparse autoencoder


#Controlling the sparsity level


#Activation shrinkage


#Dead latent


#Scaling laws


#Evaluation metrics


#Mitigating biases in AI systems


#Scaling monosemanticity


#Mixture of Experts (MoE) models in LLMs


#Expert Slimming


#Expert Trimming


#Structured State Space Duality (SSD)


#State Space Model (SSM)


#Transformer Architectur


#Retrieval-Augmented Generation (RAG) | Vector search


#Semantic ranker for search


#Hybrid search with re-ranking | Uutperforming vector search alone, which may struggle to find exact matches for proper names, IDs and numbers | Improving the relevance and accuracy of the AI generated responses


#MLOps platform


#Industrial digitalization


#Autonomous facility


#Reference workflow


#Physically based rendering


#AI robot development


#AI robot deployment


#Digital twin


#Modifying digital design in sensor feedback loop


#Robotics platform


#AI processor


#Building digital twins for real-time simulation of different factory layouts


#AI for manufacturing


#Transformational impact of generative AI and digital twin technologies


#Autonomous technology


#Digital twin of factory


#Virtual plant


#Training robots in virtual environment


#Situating sensors and networked video cameras in matrix to show plant operators right details


#Robot work cell design


#Robotics simulation platform


#Generating physically accurate, photorealistic synthetic data for training computer vision models


#Automatic Optical Inspection


#Autonomy algorithm


#Infrared sensor


#Integrated motion capture system


#Reflective tag


#System generating GPS signals


#Marine Autonomous System (MAS)


#Ocean observation


#Explainable AI (XAI): methods allowing humans to comprehend and trust the results of machine learning algorithms


#AI patents: digital product manufacturing sector accounting for 61.8 percent in China


#Cognitive robotics


#Humans in the loop


#Vision Language Model (VLM)


#Robot workcell


#Industrial robot programming


#Autonomous homing of robots


#Linear actuator | Device converting rotational motion into linear motion


#Disaggregation | Hardware and software components are separated to enhance flexibility and efficiency in network management


#Coherent optical transceiver | Utilizing advanced modulation techniques, including amplitude and phase modulation | Enhancing data transmission over fiber optics | Enabling higher bandwidth and longer reach by employing digital signal processors to manage dispersion and optimize spectral efficiency | Supporing various applications, including Dense Wavelength Division Multiplexing (DWDM), allowing multiple data streams on a single fiber | Essential for modern high-speed networks, facilitating capacities of 100G to 400G and beyond, crucial for data-intensive applications like cloud computing and 5G networks


#YANG (Yet Another Next Generation) data modeling language | Designed for network management | Enables the definition of configuration and state data for network devices | Facilitates automation through protocols like NETCONF, RESTCONF, and gNMI | Human-readable and machine-processable | Simplifies network configuration and management across different vendors | Standardized by IETF | Supports various built-in data types | Allowing for extensibility and compatibility with existing management protocols like SNMP


#3D depth sensing


#Time Of Flght (TOF)


#Active stereo vision


#Reality capture workflows


#Dual polarization


#Prompt adherence


#Vector database


#Learning Management System (LMS)


#Prompt caching | AI reusing of large text across multiple API calls without reprocessing it each time | AI allowing to ask various questions about book while utilizing cached content | AI prompts with many examples | AI repetitive tasks with consistent instructions | AI cache elements: Tools, System messages, Messages, Images | AI conversational agents | AI coding assistants | AI large document processing | AI detailed instruction sets | AI agentic tool use | AI talking to books | AI talking to papers | AI talking to documentation | AI talking to podcast transcript | Python | Curl


#Integrating AI model with organization knowledge


#Scaling expertise across projects


#Scaling expertise across decisions


#Scaling expertise across teams


#AI powered software engineering


#AI powered computer use


#Syncing GitHub repositories with AI model