autonomousbay.ai

#Autonomous Bay AI Meta

#Bay | Stage, Space, Area, Domain, Factory, Laboratory, Compartment or section (for example in airplane, spacecraft) used for autonomous system)

#Heart Monitoring Robot Bay | Laser device detecting heartbeat, breathing rate, and muscle activity from up to meter away, without requiring any wires or contact | High-speed camera to record images of the skin on the throat | Laser beam shone on skin to measure minute skin movements caused by expansion and contraction of tmain artery as blood flows through it.| Reflections analyzed using AI to filter out irrelevant movements and focus on vibrations caused by heartbeat | Accurate and non-invasive readings, even from a distance | It could be used in various settings, such as public spaces, homes, or hospitals, and could potentially replace traditional stethoscopes | Capable of distinguishing individual heartbeats among multiple people | Can be used for biometric identification

#Critical Mineral Bay | High-purity iron: green steelmaking and decarbonisation | Phosphorus: batteries and food security | Silicon metal: semiconductors and computer chips

#EU Critical Raw Materials Act | Key critical minerals needed for clean energy | Critical minerals: lithium, copper, cobalt

#BIMU | RobotHeart | Industrial robotics | Automation | Related technologies and solutions | Components | Systems | Artificial intelligence

#RoboBusiness | Santa Clara, Californua, USA | Future of robotics | Machine learning | Motion control | Sensing | Development tools | Software | Legged robots | Harmonic Drive | Advanced Motion Control | Bogen Magnetics | Bota (Force-sensitive robots) | Doodle Labs (Long-range, high-bandwidth mesh radios) | ElectroCraft (Application-engineered specialty fractional-horsepower motor and motion control products) | RGo (Robotics platforms) | Synapticon (Motion control) | Force (Force-torque sensing systems) | Intelligent Actuator Incorporated (Actuators) | Netzer Precision (Rotary enciders) | Protech (Carbon fiber parts tailored, machined, and molded to) | MassRobotics (Robotics hub) | Silicon Valley Robotics

#U.S. Department of Transportation Bay | National Highway Traffic Safety Administration (NHTSA) | Federal Motor Vehicle Safety Standard | Automatic Emergency Braking (AEB) | Reducing rear-end and pedestrian crashes | Detecting pedestrians in both daylight and in darker conditions | Automatic emergency braking

#Retrieval Augmented Generation (RAG) Bay | Query: Large Language Model (LLM): determining necessary data for comprehensive response | Processing: processing natural language search terms, translating them into vector embeddings, performing similarity search, finding vectors closely resembling user question, supplying LLM with more relevant and contextually precise answers | Resolution Process: refining responses through fine-tuning phase involving human feedback, pre-trained data, and reinforcement learning | User Presentation: generating comprehensive response, expert team reviewing and refining response before delivering it

#Language Processing Bay | Large Language Model (LLM) | Language Processing Unit: GPU, LPU | Hardware: Cloud Server, Rack, Card, Processor | Programming languages: Go, Rust, C++, Python | Software stack: TCP, Linux kernel scheduler | Hardware: ASIC design | Electric engineering: high-speed chip to chip, SERDES, memory interfaces and operations | Lab equipment: real-time scope, sampling scope, spectrum analyzer, BERT | SI/PI tools: Cadence/Ansys , Synopsys | High speed processors: Graphics, Microprocessors, Network Processors, Mobile / Multimedia SOC | EDA tools: Cadence Genus/Innovus/Tempus, Synopsys Fusion Compiler/ICC2/Primetime, Ansys Redhawk, Joules/PTPX

#Superyacht Yard Bay | Ferretti Group | Custom Line | Asante: all aluminum Custom Line 50 | Aluminum to offer performance and fuel consumption benefits

#Liquid Hydrogen (LH2) Bay | Liquid Hydrogen (LH2) filling station | Hydrogen (white, green) producer | Internal Combustion Engine (ICE) fueled by LH2 | Hydrogen reciprocating piston engine (hardened valves, stronger connecting rods, and a higher voltage ignition coil) | Mobile filling facility for machinery refuelling directly at construction sites

#Remote microgrid | Renewable Hydrogen Fund, Australia | Horizon Power | ARENA Advancing Renewables program | Displacing diesel with hydrogen | Denham Renewable Hydrogen Microgrid, Western Australia | 704-kilowatt (kW) solar farm | 348kW hydrogen electrolyser | 100kW fuel cell

#Humanoid robot | Figure.ai | Speech-to-speech conversation | Onboard vision language model | AI-driven vision system powered by 6 onboard RGB cameras | Hands with 16 degrees of freedom and human-equivalent strength | General purpose humanoid | Robots to handle general tasks | Enabling robots to learn and interact with environment | Humanoids designed to caring for elderly or even cooking meals | Focusing primarily on industrial warehouse applications to start

#Guam, Pacific Ocean Island, USA | Australia Japan Cable (AJC) | AJC (Telstra, AT&T, NTT, Verizon Softbank) | Connecting Sydney, Australia and Tokyo, Japan via Guam | 12,700 kilometer (km) fiber network | Installed at an average depth of 4,000-5,000 meters | Problem: fiber optics cable fault at a depth between 7,000 to 8,000 meters | Solution privider: Infinera | Time-Based Instant Bandwidth | 400G bandwidth on other segments of AJC network

#Fronthaul | Optical network connections linking remote radio heads (RRHs) to centralized baseband units (BBUs) in Cloud Radio Access Network (C-RAN) architecture | Enhancing data transmission efficiency and reducing latency, crucial for supporting advanced wireless technologies like

#Cloud radio access network (C-RAN) | Centralized architecture for radio access networks | Leveraging cloud computing to enhance flexibility, scalability, and efficiency in telecommunications | Shifting baseband processing from individual base stations to centralized location | BBU hotels connected via high-speed fiber links | Reducing costs, improving spectrum efficiency, and simplifying network management | Making suitable for 5G deployments | C-RAN supports real-time virtualization, enabling dynamic resource allocation and improved user experiences by minimizing interference among cells

#Mobile IoT industrial cluster | Mobile IoT industry demonstration base | Intelligent connected vehicles | Healthcare | Smart homes

#Frequency Modulated Continuous Wave (FMCW) lidar at 1550nm wavelength | 1550nm laser | Long distance lidar

#autonomousvehicle.app | Autonomous Vehicle Application Bay powered by Artificial Intelligence (AI)

#autonomousvehicle.dev | Autonomous Vehicle Development Bay powered by Artificial Intelligence (AI)

#beyondspace.app | Beyond Space Application Bay powered by Artificial Intelligence (AI)

#cryogenics.app | Cryogenics Application Bay powered by Artificial Intelligence (AI)

#cryogenics.dev | Cryogenics Development Bay powered by Artificial Intelligence (AI)

#spacescience.app | Space Science Application Bay powered by Artificial Intelligence (AI)

#antarcticocean.app | Antarctic Ocean Application Bay powered by Artificial Intelligence (AI)

#antarcticocean.dev | Antarctic Ocean Development Bay powered by Artificial Intelligence (AI)

#arcticocean.app | Arctic Ocean Application Bay powered by Artificial Intelligence (AI)

#arcticocean.dev | Arctic Ocean Development Bay powered by Artificial Intelligence (AI)

#atlanticocean.app | Atlantic Ocean Application Bay powered by Artificial Intelligence (AI)

#atlanticocean.dev | Atlantic Ocean Development Bay powered by Artificial Intelligence (AI)

#caribbeansea.app | Caribbean Sea Application Bay powered by Artificial Intelligence (AI)

#caribbeansea.dev | Caribbean Sea Development Bay powered by Artificial Intelligence (AI)

#indianocean.app | Indian Ocean Application Bay powered by Artificial Intelligence (AI)

#indianocean.dev | Indian Ocean Development Bay powered by Artificial Intelligence (AI)

#oceanography.app | Oceanography Application Bay powered by Artificial Intelligence (AI)

#pacificocean.app | Pacific Ocean Application Bay powered by Artificial Intelligence (AI)

#pacificocean.dev | Pacific Ocean Development Bay powered by Artificial Intelligence (AI)

#southernocean.app | Southern Ocean ApplDevelopment Bay powered by Artificial Intelligence (AI)

#southernocean.dev | Southern Ocean Development Bay powered by Artificial Intelligence (AI)

#marlinfishing.app | Marlin Fishing Application Bay powered by Artificial Intelligence (AI)

#marlinfishing.dev Marlin Fishing Development Bay powered by Artificial Intelligence (AI)

#longrangehunting.app | Longrange Hunting Application Bay powered by Artificial Intelligence (AI)

#aeronautics.app | Aeronautics Application Bay powered by Artificial Intelligence (AI)

#aeronautics.dev | Aeronautics Development Bay powered by Artificial Intelligence (AI)

#autonomoussystem.app | Autonomous System Application Bay powered by Artificial Intelligence (AI)

#antarcticocean.ai | Antarctic Ocean Bay powered by Artificial Intelligence (AI)

#yocto.app | Yocto Application Bay powered by Artificial Intelligence (AI)

#unmannedsystem.app | Unmanned System Application Bay powered by Artificial Intelligence (AI)

#unmannedsystem.dev | Unmanned System Development Bay powered by Artificial Intelligence (AI)

#yourdragonxi.com | Your DragonXi Bay powered by Artificial Intelligence (AI)

#yourdragonxi.org | Your DragonXi Bay powered by Artificial Intelligence (AI)

#transferlearning.app | Transfer Learning Application Bay powered by Artificial Intelligence (AI)

#arcticocean.ai | Arctic Ocean Bay powered by Artificial Intelligence (AI)

#senseit.app | Sense It Application Bay powered by Artificial Intelligence (AI)

#rubalkhali.app | Rub Al Khali Application Bay powered by Artificial Intelligence (AI)

#reasonit.app | Reason It Application Bay powered by Artificial Intelligence (AI)

#porthos.app | Porthos Application Bay powered by Artificial Intelligence (AI)

#porthos.dev | Porthos Development Bay powered by Artificial Intelligence (AI)

#personalrobot.app | Personal Robot Application Bay powered by Artificial Intelligence (AI)

#personalrobot.dev | Personal Robot Development Bay powered by Artificial Intelligence (AI)

#objectdetection.app | Object Detection Application Bay powered by Artificial Intelligence (AI)

#namib.app | Namib Application Bay powered by Artificial Intelligence (AI)

#opalstack.app | Open Source Application Bay powered by Artificial Intelligence (AI)

#opalstack.dev | Open Source Development Bay powered by Artificial Intelligence (AI)

#perplexity.ai | Search Bay powered by Artificial Intelligence (AI)

#autonomousdevice.ai | Autonomous Device Bay powered by Artificial Intelligence (AI)

#autonomoussystem.ai | Autonomous System Bay powered by Artificial Intelligence (AI)

#caribbeansea.ai | Caribbean Sea Bay powered by Artificial Intelligence (AI)

#lidarsystem.ai | Lidar System Bay powered by Artificial Intelligence (AI)

#marlinfishing.ai | Marlin Fishing Bay powered by Artificial Intelligence (AI)

#pacificocean.ai | Pacific Ocean Bay powered by Artificial Intelligence (AI)

#personalrobot.ai | Personal Robot Bay powered by Artificial Intelligence (AI)

#southernocean.ai | Southern Ocean Bay powered by Artificial Intelligence (AI)

#dragonxi.ai | DragonXi Bay powered by Artificial Intelligence (AI)

#autonomousdevice.app | Autonomous Device Application Bay powered by Artificial Intelligence (AI)

#Rare Earth Elements (REE) | Ionic Absorption Clay (IAC) rare earths mine | Light rare earths (neodymium, praseodymium) | Heavy rare earths (dysprosium, terbium) | Neodymium (iron boron magnets: electric vehicle engines) | Wind turbine generators | EV engine: dysprosium, terbium (maintaining magnet performance at high temperatures) | Brazil REE reserves: 21Mt | China REE reserves: 44Mt | Fully vertically-integrated REE supply chain: China | The largest consumer of rare earth raw materials: China | China REE production: 240,000 metric tonnes (90% glibally) | REE demand: permanent magnets (wind turbines, EVs, missiles) | REE export controls on metals gallium and germanium: China | Global REE supply: 300,000t | China REE supply: 240,000t | Brazil REE supply: 80t | Bazil REE problems: nervous lenders, low rare earths prices, technical challenges | Very slowly catching up to China REE: Australia, Vietnam, Brazil | Brazil Lithium Valley: Minas Gerais

#autonomoussystem.app| Autonomous System Application Bay powered by Artificial Intelligence (AI)

#autonomoussystem.dev | Autonomous System Development Bay powered by Artificial Intelligence (AI)

#oceanography.dev | Oceanography Development Bay powered by Artificial Intelligence (AI)

#transferlearning.dev | Transfer Learning Development Bay powered by Artificial Intelligence (AI)

#Rules prohibit further data-centre development in certain zones

#Large language models hitting the limits of scaling laws for pre-training

#California wildfire challenges | Access roads too steep for fire department equipment | Brush fires | Dangerously strong winds for fire fighting planes | Drone interfering with wildfire response hit plane | Dry conditions fueled fires | Dry vegetation primed to burn | Faults on the power grid | Fires fueled by hurricane-force winds | Fire hydrants gone dry | Fast moving flames | Hilly areas | Increasing fire size, frequency, and susceptibility to beetle outbreaks and drought driven mortality | Keeping native biodiversity | Looting | vLow water pressure | Managing forests, woodlands, shrublands, and grasslands for broad ecological and societal benefits | Power shutoffs | Ramping up security in areas that have been evacuated | Recoving the remains of people killed | Retardant drop pointless due to heavy winds | Smoke filled canyons | Santa Ana winds | Time it takes for water-dropping helicopter to arrive | Tree limbs hitting electrical wires | Use of air tankers is costly and increasingly ineffective | Utilities sensor network outdated | Water supply systems not built for wildfires on large scale | Wire fault causes a spark | Wires hitting one another

#California wildfire assets | California National Guard | Curfews | Evacuation bags | Firefighters | Firefighting helicopter | Fire maps | Evacuation zones | Feeding centers | Heavy-lift helicopter | LiDAR technology to create detailed 3D maps of high-risk areas | LAFD (Los Angeles Fire Department) | Los Angeles County Sheriff Department | Los Angeles County Medical Examiner | National Oceanic and Atmospheric Administration | Recycled water irrigation reservoirs | Satellites for wildfire detection | Sensor network of LAFD | Smoke forecast

#California wildfire statistics | Beachfront properties destroyed | Death tol | Damage | Economic losses | Expansion of non-native, invasive species | Loss of native vegetation | Structures (home, multifamily residence, outbuilding, vehicle) damaged

#California wildfire actions | Animals relocated | Financial recovery programs | Efforts toward wildfire resilience | Evacuation orders | Evacuation warnings | Helicopters dropped water on evacuation routes to help residents escape | Reevaluating wildfire risk management | Schools closed | Schools to be inspected and cleaned outside and in, and their filters must be changed

#Dexterous robot | Manipulate objects with precision, adaptability, and efficiency | Dexterity involves fine motor control, coordination, ability to handle a wide range of tasks, often in unstructured environments | Key aspects of robot dexterity include grip, manipulation, tactile sensitivity, agility, and coordination | Robot dexterity is crucial in: manufacturing, healthcare, logistics | Dexterity enables automation in tasks that traditionally require human-like precision

#Large Language Model (LLM) | Foundational LLM: ex Wikipedia in all its languages fed to LLM one word at a time | LLM is trained to predict the next word most likely to appear in that context | LLM intellugence is based on its ability to predict what comes next in a sentence | LLMs are amazing artifacts, containing a model of all of language, on a scale no human could conceive or visualize | LLMs do not apply any value to information, or truthfulness of sentences and paragraphs they have learned to produce | LLMs are powerful pattern-matching machines but lack human-like understanding, common sense, or ethical reasoning | LLMs produce merely a statistically probable sequence of words based on their training | LLMs are very good at summarizing | Inappropriate use of LLMs as search engines has produced lots of unhappy results | LLM output follows path of most likely words and assembles them into sentences | Pathological liars as a source for information | Incredibly good at turning pre-existing information into words | Give them facts and let them explain or impart them

#Retrieval Augmented Generation. (RAG LLM) | Designed for answering queries in a specific subject, for example, how to operate a particular appliance, tool, or type of machinery | LLM takes as much textual information about subject, user manuals and then pre-process it into small chunks containing few specific facts | When user asks question, software system identifies chunk of text which is most likely to contain answer | Question and answer are then fed to LLM, which generates human-language answer in response to query | Enforcing factualness on LLMs

#Unbound Factory | Designing systems that can scale economically to address the high diversity and stiff requirements of industrial labor tasks remains a significant open challenge | Chasing generalization in manipulation—both in hardware and behavior—is necessary | AI research threads | Reinvention of manufacturing

#Vision-language model (VLM) | Training vision models when labeled data unavailable | Techniques enabling robots to determine appropriate actions in novel situations | LLMs used as visual reasoning coordinators | Using multiple task-specific models

#Robot autonomy system combining the benefits of Visual SLAM positioning with advanced AI local perception and navigation tech | Visual Al technology | AI-based autonomy solutions | Visual SLAM | Dynamic obstacle avoidance | Constructing accurate 3D maps of the environment using sensors built into robots | Algorithms precisely localize robot by matching what it observes at any given time with 3D map | Using AI driven perception system robot learns what is around it and predicts people actions to react accordingly | Intelligent path planning makes robot move around static and dynamic obstacles to avoid unnecessary stops | Collaborating with each others robots share important information like their position and changes in mapped environment | Running indoors, outdoors, over ramps and on multiple levels without auxiliary systems | Repeatability of 4mm guarantees precise docking | Updates the map and shares it with the entire fleet | Edge AI: All intelligence is on the vehicle, eliminating any issue related to the loss of connectivity | VDA 5050 standardized interface for AGV communication | Alphasense Autonomy Evaluation Kit | Autonomous mobile robot (AMR) | Hybrid fleets: manual and autonomous systems work collaboratively | Equipping both autonomous and manually operated vehicles with advanced Visual SLAM and AI-powered perception | Workers and AMRs share the same map of the warehouse, with live position data of each of the vehicles | Turning every movement in warehouse into shared spatial awareness that serves operators, machines, and managers alike | Equiping AGVs and other types of wheeled vehicles with multi-camera, industrial-grade Visual SLAM, providing accurate 3D positioning | Combining Visual SLAM with AI-driven 3D perception and navigation | Extending visibility to manually operated vehicles, such as forklifts, tuggers, and other types of industrial trucks | Unifying spatial awareness across fleets | Unlocking operational visibility | Ensuring every movement generates usable data | Providing foundation for smarter, data-driven decision-making | Merging manual and autonomous workflows into a single connected ecosystem | Real-time vehicle tracking | Traffic heatmaps | Spaghetti diagrams | Predictive flow analytics | Redesigning layouts | Optimizing pick paths | Streamlining material handling | Accurate vehicle tracking | Safe-speed enforcement | Pedestrian proximity alerts | Lowerung insurance claims | Ensuring regulatory compliance | Making equipment smarter, scalable, interoperable, and differentiable | Predictive maintenance | Fleet optimization | Visual AI Ecosystem connecting machines, people, processes, and data | Autonomous robotic floor cleaning | Industry 5.0 by adding people-centric approach | Visual AI to providing real-time, people-centric decision-making capabilities as part of autonomous navigation solutions | Collaborative Navigation transforming Autonomous Mobile Robots (AMRs) into mobile cobots | Visual AI confering robots the ability to understand the context of the environment, distinguishing between unobstructed and obstructed paths, categorizing the types of obstacles they encounter, and adapting their behavior dynamically in real-time | Automatically generating complete and very accurate 3D digital twin of an elevator shaft | Autonomous eTrolleys tackling last-mile problem |Autonomous product delivery at airports

#AI Plus initiative of China | Seres Group embodying intelligence through a new partnership with ByteDance |China increasingly recognized by global enterprises as a core base for AI research and development (R&D) and AI application, multiple global investors | AI Plus initiative, laying out systematic approach to strengthening supportive AI infrastructure and accelerating integration of AI technology across economic and social domains | Integration of AI with sustainable manufacturing | AI-powered industrial development can drive new cooperative ventures. Vast market, rapid application iteration, comprehensive industrial ecosystem and maturing innovation environment seen as key attractions | STMicroelectronics: China distinct cost advantages in AI innovation provide both technical and economic foundation for large-scale smart application deployment in manufacturing | Qualcomm: committed to leveraging expertise in AI to collaborate with Chongqing in building a system of new quality productive forces centered on AI | DeepSeek is fostering a global shift toward more open and collaborative AI development

#Critical rsw msterials | Antimony | Arsenic | Bauxite | Baryte | Beryllium | Bismuth | Boron | Cobalt | Coking Coal | Copper | Feldspar | Fluorspar | Gallium | Germanium | Hafnium | Helium | Heavy Rare Earth Elements | Light Rare Earth Elements | Lithium | Magnesium | Manganese | Natural Graphite | Nickel – battery grade | Niobium | Phosphate rock | Phosphorus | Platinum Group Metals | Scandium | Silicon metal | Strontium | Tantalum | Titanium metal | Tungsten | Vanadium

#Strategic raw materials | Bauxite | Bismuth |Boron | Cobalt | Copper | Gallium | Germanium | Lithium – battery grade | Magnesium metal | Manganese – battery grade | Natural Graphite – battery grade | Nickel – battery grade | Platinum Group Metals | Rare Earth Elements for permanent magnets (Nd, Pr, Tb, Dy, Gd, Sm, and Ce) | Silicon metal | Titanium metal | Tungsten

#Immediate.Measures to Increase American Mineral Production

#Critical minerals in Artificial Intelligence | At the core of AI transformation lies a complex ecosystem of critical minerals, each playing a distinct role | Boron: used to alter electrical properties of silicon | Silicon: fundamental material used in most semiconductors and integrated circuits | Phosphorus: helps establish the alternating p-n junctions necessary for creating transistors and integrated circuits | Cobalt: used in metallisation processes of semiconductor manufacturing | Copper: primary conductor in integrated circuits | Gallium: used in compound semiconductors such as gallium arsenide (GaAs) and gallium nitride (GaN) | Germanium: used in high-speed integrated circuits and fibre-optic technologies | Arsenic: employed as a dopant in silicon-based semiconductors | Indium phosphide: widely used in optical communications | Palladium: used in production of multi-layer ceramic capacitors (MLCCs) | Silver: the most conductive metal used in specialised integrated circuits and circuit boards | Tungsten: serves as a key material in transistors and as a contact metal in chip interconnects | Gold: used in bonding wires, connectors, and contact pads in chip packaging | Europium: enables improved performance in lasers, LEDs, and high-frequency electronics essential to AI systems and optical networks | Yttrium: improves the efficiency and stability of materials like GaN and InP, supporting advanced applications in photonics, high-speed computing, and communications technologies