transferlearning.dev

#Transferlearning Development Meta

#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

#A-list celebrity home protector | Burglaries targeting high-end items | Burglary report on Lime Orchard Road | Burglar had smashed glass door of residence | Ransacked home and fled | Couple were not home at the time | Unknown whether any items were taken | Lime Orchard Road is within Hidden Valley gated community of Los Angeles in Beverly Hills | Penelope Cruz, Cameron Diaz, Jennifer Lawrence, Adele and Katy Perry have purchased homes there, in addition to Kidman and Urban | Kidman and Urban bought their home for $4.7 million in 2008 | 4,100-square-foot, five-bedroom home built in 1965 and sits on 1¼-acre lot | Property large windows have views of the canyons | Theirs is one of several celebrity properties burglarized in Los Angeles and across country recently | Connected to South American organized-theft rings

#Professional athlete home protector | South American crime rings | Targeting wealthy Southern California neighborhoods for sophisticated home burglaries | Behind burglaries at homes of professional athletes and celebrities | Theft groups conduct extensive research before plotting burglaries | Monitoring target whereabouts and weekly routines via social media | Tracking travel and schedules | Conducting physical surveillance at homes | Attacks staged while targets and their families are away | Robbers aware of where valuables are stored in homes prior to staging break-ins | Burglaries conducted in short amount of time | Bypass alarm systems | Use Wi-Fi jammers to block Wi-Fi connections | Disable devices | Cover security cameras | Obfuscate identities

#ROS 2 | The second version of the Robot Operating System | Communication, compatibility with other operating systems | Authentication and encryption mechanisms | Works natively on Linux, Windows, and macOS | Fast RTPS based on DDS (Data Distribution Service) | Programming languages: C++, Python, Rust