dragonxi.dev


#DragonXi | Development


#Manhattan Corporation (ASX:MHC) | The largest tenement holder in Nova Scotia | Exploration of lithium and critical metals with the Chebogue project | 1,200 km2 within 109 mineral licenses | Over 100km of prospective lithium pegmatite strike length | A small pilot high resolution drone geophysical survey | Over a pilot area to determine if this technique can identify clear pegmatite targets hosted in the volcanic stratigraphy


#Queens University in Kingston, Ontario | Developing a new approach for lithium exploration


#Synthetic data generation | Computer simulation | Algorithm | Statistical modeling | Autonomous vehicles | Information injected into AI models | Creating digital twins | Testing AI systems for bias | Simulating the future, alternate futures or the metaverse | Datagen | MostlyAI | Synthesis AI


#NVIDIA | MLPerf | Measuring time to train neural networks | Natural language processing | Speech recognition | Recommender systems | Biomedical image segmentatione | Object detection | Image classification | Reinforcement learning | NVIDIA benchmarking suite | MLPerf Training | MLPerf Inference | MLPerf HPC | NVIDIA Platform


#Protecting pipelines from oil thieves in Nigeria | Shell Petroleum Development Company of Nigeria Limited (SPDC) | Frequent attacks on pipelines | Substantial revenue losses from activities of oil thieves and pipeline vandals | Oil thieves puncturing SPDC pipelines and wellheads, redirecting crude oil to their illegal refining sites | Trans Niger Pipeline


#Gaptek | Modular hangar construction | Lightweight system | Turnkey facilities | Fast deployment | Low environmental impact | Capability to be easily adapted and relocated


#Microchip Technology | Tactile Twist on Modern Touch Displays | Reduces Bill of Materials (BoM) | Operates on standard sensor patterns | Eliminates need for openings in the front panel | Configurable knob position, size and number of detents (clicks) | Optional push function | Up to four knob instances | Mount capacitive rotary encoders, also called rotary knobs, over a touch panel | The knob is a passive mechanical element, specifically designed to include at least one conductive pad | The maXTouch KoD touchscreen


#Titra | Alpin unmanned helicopter | In regional priority investment list of Ankara | Military, civilian and rescue missions | Design based on the manned Italian Heli-Sport CH 7 ultralight chopper | UAVOS | Length 7 m | Width 1.5 m | Height 2.35 m | Rotor diameter 6.28 m | Empty weight 340 kg | Can be easily transported in a vehicle | Maximum payload of 200 kg including fuel | Wideband satellite communication channel | Fully redundant autopilot system aboard | Fully autonomous take off and landing system | Remote ground control network capability | Autorotation landing capability | High efficiency flight control | Hyper spectral, synthetic aperture radar (SAR) | Electro optical/infrared (EO/IR) cameras | Rotax 914 UL engine | 115 hp | Maximum cruise speed 160 km/h | Maximum range of 840 km | Altitudes of up to 5,000 m | Maximum endurance seven hours | Two hours flight time fully loaded


#Norway | NATO | Poseidon8 | P8 to bring a drone that can be released from the internal bay, fly its own surveillance missions, then return and be caught back to the bay


#Percepto | Autonomous site inspection and monitoring | Autonomous drones and robots | Insight Manager | Deeplearning algorithms to deliver industry specific intelligence | Solar construction progress monitoring | Stockpile volumetric measurement | Pipeline integrity inspection | 2D mapping | 3D modeling | Automated inspections


#SatelIoT | IoT connectivity over standard 5G NB-IoT


#Terma | Missionized Gun Pods for fighters


#Lowrance | Marin and Fishing Electronics


#Garmin | Marlin Fishing Electronics


#GPU computing SDK | OpenCL | CUDA


#Android | Smart Phones


#Linux | Open Source Operating System developed by Linus Torvalds


#ARM | Virtual Hardware


#OpenAI | Whisper | Open source deep learning model for speech recognition


#Boston Dynamics AI Institute | Artificial intelligence (AI) | Robotics


#Vella Development Kit | Velodyne Lidar


#Metaverse | Virtual Reality


#MIT | White graphene nanotubes


#ICEYE | Synthetic aperture radar (SAR)


#JAKA Robotics | Graphic Programming


#NVIDIA | MLPerf


#ROS | Robot Operating System


#Universal Scene Description | USD


#OpenAI | Whisper | Open source deep learning model for speech recognition | Transcribing audio in several languages | Automatic speech recognition (ASR) without the privacy concerns | Content creating | Adding AI to everyday workflows


#General Atomics | Air to Air Laser Communication System | Crosslinks from aircraft to other platforms such as unmanned aircraft, maritime vessels, and space systems


#H3 Dynamics |.distributed hydrogen electric propulsion pods


#Intel | Kapoho Point Board | Four Loihi 2 chips on its top side | Four on its underside | Up to a million neurons | Up to a billion synapses | Up to 8 million variables | Up to 1000× better energy efficiency than a state of the art CPU solver | Stackable up to eight boards | Expansion port on the board | Four boards getting up to 32 million neurons | Drones | Robotics | Gesture recognition | Scene understanding | Smell identification | Solving optimization problems | Research


#Northrop Grumman | Boom | Missions requiring rapid response | Applications for the supersonic aircraft | Quick reaction surveillance | Command and control | Mobility and logistics missions | Emergency medical evacuation | Troop transport


#Intel | Neuromorphic computing | Biological neural computation | New algorithmic approaches | Emulating human brain interactions | Spiking neural networks (SNNs) | Simulating natural learning | Dynamically remapping neural networks | Making decisions in response to learned patterns over time | Powering autonomous AI solutions | Supporting energy efficiency and continuous learning | Sensing | Robotics | Healthcare | Large scale AI applications


#Elroy Air | Autonomous cargo aircraft systems| Vertical take off and landing (VTOL) cargo aircraft | Specially designed aerodynamic modular cargo pods | Commercial logistics | Disaster relief | Firefighting | Humanitarian operations | Replacing difficult ground transportation | Detachable pod | Dropping off cargo | Pickkung up ready to go cargo | Makint deliveries fast | Allowing ground crew to empty or load a pod at their leisure


#Doodle Labs | Beamforming | Wireless technique utilizing advanced antenna technologies | Mobile devices | Network base stations | Focusing wireless signal in a specific direction | Stronger datalink with increased reach and throughput | Qualcomm 802.11ax chipset | Air Force | Developing mesh networking technology to enable beamforming | Connected teams | UAV | UGV | Robotics


#Qualcomm | IEEE 802.11ax solutions | WiFi for dense usage scenarios | 2.4 GHz and 5 GHz bands | Up to 8 users simultaneously | OFDMA; multiple users with varying bandwidth served simultaneously | Uplink resource scheduler | Target Wakeup Time (TWT)


#Laboratory for Information and Decision Systems (LIDS) MIT | WiSwarm | Wireless network handling time sensitive data from multiple drones


#Vella Development Kit | Velodyne Lidar | High level perception outputs for indoor environments | 3D object list | Free space and obstacle detection | 3D occupancy grid | Lidar odometry | Extrinsic calibration | Automated ground vehicles | Surround Lidar Sensors


#Autodesk | 3ds Max


#Biral | Sensors for Antarctic Climate Change Research


#Leddar Sensor | LIDARs for mobility, ITS and industrial applications


#Velodyne | Lidar | Vision for autonomous mobile robots


#OndoSense | Radar sensor technology


#Technical University of Munich, Germany | Neuromorphic Hardware | Mimicking the human sensor systems (e.g. nose, tongue, skin) | Sensors rather imprecise in their output signals | Human sensory system: eyes (vision), ear (sound), nose (smell), skin (pressure, temperature) and tongue (taste) | Circuits built based on the concept of Spiking Neural Networks (SNN) | Analog HW built which can execute unsupervised learning on chip


#MIT | Liquid neural networks | Drone navigation in ever changing and unseen environments | Inspired by adaptable nature of organic brains | Mastering vision based fly to target tasks in intricate, unfamiliar environments | Liquid neural networks can continuously adapt to new data inputs | Capable to make reliable decisions in unknown domains like forests, urban landscapes, and environments with added noise, rotation, and occlusion | New class of machine-learning algorithms | Capturing causal structure of tasks from high dimensional, unstructured data, such as pixel inputs from drone mounted camera | Extracting crucial aspects of a task | Understanding the task at hand | Allowing acquired navigation skills to transfer targets seamlessly to new environments | Learning-based control approach for robots | Solving problems that arise when training in one environment and deploying in a completely distinct environment without additional training, | Teaching drone to locate an object in a forest during summer, and then deploy the model in winter, with vastly different surroundings | Liquid networks offer promising preliminary indications of their capacity to address weakness in deep learning systems | Ability to learn from limited expert data and understand a given task while generalizing to new environments could make autonomous drone deployment more efficient, cost-effective, and reliable |


#G7 | Building network of undersea communication cables to serve developing and emerging countries


#Intel | Machine programming research at Intel Labs | Machine learning can be considered a subset of artificial intelligence| Deep neural networks | Formal program synthesis techniques | Providing mathematical guarantees to ensure precise software behavior | Creating software that can create more software | Software industry | Autonomous systems | Algorithms of the machine learning systems | Automatically constructring software | Using machine learning to automatically create the fitness function without human involvement | Machine to invent its own machine learning systems | Mathematical foundation for anomaly detections


#MIT | Advances in algorithms in machine learning and in formal methods | Domain specific architectures | Big and dense data | GitHub | Neural network processors | Neuromorphic processors | Graphics processing units ((GPU) | Accelerators | Field programmable gate arrays (FPGA) | Heterogeneous hardware platforms


#Microsoft | FlashFill | System inside Excel automatically figuring out what the user intent is


#Facebook | Aroma | Human in the loop machine learning approximation


#ETH Zurich | Exploring ideas in the machine programming space


#Berkley | Verified lifting | Lifting code from one programming language and drop it down into another programming language


#Penn | Research in Embedded Computing and Integrated Systems Engineering | PRECISE


#Stanford | Machine programming research & development


#Bell Flight | Helicopter technology platform development


#Leonardo Helicopters | Helicopter technology platform development


#Airbus Helicopters | Helicopter technology platform development


#Aero Asset | Helicopter investor, London, UK


#ACSL | SOTEN drone | Hot swappable camera system | 1 inch sensor photography camera | EO/IR camera | Multispectral camera | Optical zoom camera | IP43 rated | Estimated flight time of 25 to 29 minutes | Tri directional obstacle avoidance | Sensors placed on front, bottom, and top


#Google | TinyML | All sensor data to work captured locally | Already trained model applied to it to derive inferences


#Mach Industries | Defense systems fueled by hydrogen | Unmanned aerial vehicles | Munitions | Hydrogen-generation systems


#Oshkosh Defense | Heavy tactical vehicles | Hydraulic Load Handling System (LHS) | Self-loading and unloading without leaving cab | Operator can load or unload truck in less than one minute, and both truck and trailer in less than five minutes


#IONA | Zero-emission autonomous drone solutions for logistics in low population density areas


#Center for New American Security (CNAS) research | US should seek contingency access to Sweden and Finland, opening up challenges to Russia within the borders of Nato newest members


#US Air Force | Collaborative Combat Aircraft (CCA) programme | Drones to work together with fighter jets | Drones to assist manned aircraft or carry out their own missions | Drones to strike enemy positions, divert enemy air defences and conduct reconnaissance


#Insta | Steel Eagle drone | Nordic Drones | Forcit