Quantum computing leap for remote energy systems

 

Engineering researchers at Flinders University have won federal funding to develop a quantum computing-based demonstrator for remote community energy systems.

A quantum computer can perform calculations in minutes that take a supercomputer days, consuming kilowatts instead of megawatts of power.

Led by Professor of Electronic and Electrical Engineering Apel Mahmud the project will use advanced quantum optimisation and machine learning algorithms to design a quantum-based demonstrator model for remote community energy systems.

The $1.45 million project, kickstarted by $1.15 million in the latest round of grants announced by the Australian Government’s Critical Technologies Challenge Program, will work with industry partners EfficientSee and Zeco Australian Energy Solutions, as well as experts from two other Australian universities.

Professor Mahmud’s latest research focuses on sustainable and reliable energy supply solutions for rural and remote communities, including First Nations communities.

“Building on our feasibility study in Stage 1, the new energy management system will address complex computational challenges associated with reliable electricity supply to remote areas,” Professor Mahmud said.

“More intelligent control and forecasting of supply to these remote energy systems will support government efforts to reduce the financial burden of these high-cost systems.”

Key outcomes of the project will include creating a digital twin of remote energy systems and integrating these into a working prototype.

Visit Our Website : globalcadawards.com 

Nomination link : https://globalcadawards.com/award-nomination/?ecategory=Awards&rcategory=Awardee                                                                                                                                                          

Contact us : contact@globalcadawards.com 

#QuantumComputing #EnergySystems #SmartGrid #RemoteEnergy #QuantumOptimization #SustainableEnergy #EnergyInnovation #FutureTech #GridResilience #CleanTechnology

Neural CAD accelerates design exploration

 

In the early stages of a design project, during ideation and conceptualisation, tools should accommodate the broadest methods of expression. Early specifications, outlines, rough sketches and photos (among others) are all essential in expressing ideas.

Yet, the core paradigm of CAD software, parametric CAD, has remained largely unchanged for 40 years. These engines, built using traditional software technology, rely on a keyboard, mouse and typical user interface. Creators must explicitly define parameters such as the dimensions of an object. That can restrict creativity.

Creators need technology that doesn’t obstruct their creative flow. Instead, it should enable rapid and iterative exploration of ideas, regardless of how detailed or approximate they might be.

Over the past decade, research has underscored that early-stage explorations significantly enhance project metrics like cost, sustainability and suitability. That’s why recent advancements in neural technology are generating such excitement.

Unlike parametric CAD, they are learning and improving, so that they constantly align better to creators’ needs and ways of working. Meanwhile, they can reliably reason about the three-dimension and physical world.

Ultimately, these advancements are aimed at making creators faster, smarter and more competitive. The quicker designers can turn around their designs, the faster they can move products to markets – but the impact goes beyond speed. AI-powered design tools can directly reason about the immense complexity within design creation. It is this that sets the stage for vast improvements across the entire design and make category.

Visit Our Website : globalcadawards.com 

Nomination link : https://globalcadawards.com/award-nomination/?ecategory=Awards&rcategory=Awardee                                                                                                                                                          

Contact us : contact@globalcadawards.com 

DesignAutomation #MachineLearning #DeepLearning #ComputationalDesign #ProductDevelopment #DigitalEngineering #3DModeling #Optimization #FutureDesign #EngineeringAI #TechInnovation

No wires, no plugs, just power through the air: How Finland is experimenting with wireless electricity

 

Finland is pioneering next-generation wireless electricity systems that transmit power safely through the air without cables or plugs. Researchers and technology companies are testing advanced radio frequency and resonant inductive coupling solutions to energize IoT devices, sensors, and smart infrastructure. These experiments aim to improve efficiency, reduce wiring costs, and enable seamless energy access in homes, factories, and smart cities. By integrating renewable energy and intelligent grid management, Finland is shaping a future where power flows invisibly, reliably, and sustainably across connected environments.

Visit Our Website : globalcadawards.com 

Nomination link : https://globalcadawards.com/award-nomination/?ecategory=Awards&rcategory=Awardee                                                                                                                                                          

Contact us : contact@globalcadawards.com 

#WirelessPower #FinlandTech #EnergyInnovation #PowerBeaming #FutureEnergy #CleanTechnology #SmartGrid #RenewableFuture #TechExperiment #ElectricityRevolution #SustainableEnergy #InnovationHub #GreenPower #NextGenEnergy #ContactlessCharging #EnergyResearch #NordicInnovation #PowerTransmission #DeepTech #EnergyTransformation

multi-agent AI is transforming network fault repair

 

The ‘Multi-level multi-agent network fault healing’ Catalyst delivers a hierarchical multi-agent system that uses LLM-driven diagnosis, digital-twin simulation and cross-domain coordination to automate end-to-end network fault detection, analysis and repair.

Large 5G rollouts and the growth of computing-network services have created dense layers of operational systems that generate vast volumes of alarms and events. These environments now demand response times that conventional tools cannot provide. CSPs face surges in work orders triggered by alarm storms, limited coordination between domains, and manual processes that slow fault handling. Diagnosis often relies on isolated tools and human knowledge, with little ability to form a complete cross-domain view. As a result, network operations centers experience long mean time to repair, inconsistent practices, and rising operational costs.

This pressure is particularly visible in transport networks, where faults often involve multiple layers and vendors. A single issue can trigger related alarms across fiber, optical, IP and service layers, yet existing systems treat these fragments separately. CSPs cannot easily connect symptoms to a root cause or confirm the impact on services. Manual effort still dominates routine faults, and repetitive tasks consume valuable specialist time. These challenges impose commercial strain. Slow diagnosis prolongs service interruptions and weakens SLA performance. High OPEX limits the ability to scale new services. As networks evolve toward Level 4 autonomy, these constraints become incompatible with the operational maturity required.

The market context also shows clear demand for more intelligent and automated models. CSPs need systems that integrate network insights, interpret intent, act across domains, and verify change before execution. They require architectures that support collaboration rather than isolated automation. Crucially, they need solutions that can be deployed at scale without heavy customization, and with standardized interfaces that avoid vendor lock-in.

Visit Our Website : globalcadawards.com 

Nomination link : https://globalcadawards.com/award-nomination/?ecategory=Awards&rcategory=Awardee                                                                                                                                                          

Contact us : contact@globalcadawards.com 

#MultiAgentAI #NetworkAutomation #FaultRepair #AIinNetworking #SmartNetworks #AutonomousSystems #SelfHealingNetworks #DigitalTransformation #EdgeComputing #AIInnovation #NetworkResilience

A Radical New Computer Could Replace Electricity With Light—and Make Processing Unstoppable

 

In the new research, scientists describe their desire to use photons for tensor processing—a form of computer math where entire sets of data are digested together instead of just one datum at a time. This is a paradigm for data crunching in which numbers and other values can be stored across many dimensions in a large math structure. This type of math has potential value in many fields, but for machine learning structures like large language models (LLMs) and other forms of artificial intelligence (AI), it’s considered a gamechanger because it’s very compatible with model training and other AI work. 

Inside your traditional computer, everything you see, type, and click on is a high level representation of code. Your hardware has to be ready for you to do a variety of tasks as a general user, from crunching a huge Excel spreadsheet into a marketing report to playing a cutting-edge video game. But AI often does not need breadth in that way. Its hardware can focus on specific types of math and storage that are the most helpful and efficient, and transitioning these processes from electron to photon computing could be even faster.

In their paper, the scientists in China lay out a new photon process where just one light source can do more than one tensor operation at once. This is essential, because this math involves multiplying huge grids of values into other huge grids of values, typically resulting in a solution represented by an even larger grid. Inside the computer, if one math problem can’t run in tandem with other operations, the system can get really bogged down and slow.

Website Link: molecularbiologist.org/

Contact Mail ID : support@molecularbiologist.org

Nomination Link  : https://molecularbiologist.org/award-nomination/?ecategory=Awards&rcategory=Awardee

#PhotonicComputing
#OpticalProcessors
#LightBasedChips
#NextGenComputing
#SiliconPhotonics
#OpticalAI
#PhotonicsRevolution Memory full

DwyerOmega Expands Digital Engineering Tools with 3D CAD Models for Flow, Pressure, and Temperature Products on TraceParts

 

DwyerOmega's sensors and measurement systems support mission-critical applications across industries such as process control, automation, environmental monitoring, and advanced manufacturing. By delivering CAD models directly into the design tools engineers use daily, the company is helping customers minimize rework, improve accuracy, and bring innovations to market faster.

DwyerOmega is a leading global manufacturer of precision measurement and control solutions, trusted across a wide range of industrial and controlled-environment applications. Our technologies help customers monitor, manage, and optimize critical processes with confidence.

Visit Our Website : globalcadawards.com 

Nomination link : https://globalcadawards.com/award-nomination/?ecategory=Awards&rcategory=Awardee                                                                                                                                                          

Contact us : contact@globalcadawards.com 

#DwyerOmega #TraceParts #3DCAD #DigitalEngineering #FlowSensors #PressureSensors #TemperatureSensors #CADModels #EngineeringDesign #ProductDevelopment #Automation #IoT

Energous: Wireless Power Strategy Hinges on IoT Adoption

 

The commercial rollout of Energous's wireless power networks is advancing, with current applications in warehousing and digital supply chains. For shareholders, the pivotal question remains whether the company can achieve a decisive acceleration in market penetration within the Internet of Things (IoT) device sector. The level of genuine demand for its radio frequency (RF)-based charging solutions is expected to become clearer in the coming weeks.

• Core technology centered on radio frequency (RF) wireless power transfer
• Deployment seen in logistics, retail, and industrial manufacturing
• Next quarterly financial report anticipated for Thursday, February 26

A global shift toward smart automation is benefiting the wireless power market. Energous is focusing on scalable systems capable of delivering both energy and data simultaneously to numerous devices. These systems power applications like electronic shelf labels and logistics tracking sensors. The strategy's success is largely contingent on how deeply the technology can be embedded into existing industrial workflows to enable comprehensive digital visibility across supply chains.

Visit Our Website : globalcadawards.com 

Nomination link : https://globalcadawards.com/award-nomination/?ecategory=Awards&rcategory=Awardee                                                                                                                                                          

Contact us : contact@globalcadawards.com 

#Energous #WirelessPower #IoT #SmartDevices #CableFree #TechInnovation #EnergyTech #ConnectedWorld

Why Your Microwave Oven Is Waging a Silent War on Your Wi-Fi Signal — And What You Can Do About It

 

The root of this technological turf war lies in a shared slice of the electromagnetic spectrum. Both microwave ovens and Wi-Fi routers operate at approximately 2.4 GHz, a frequency band that has become one of the most congested in modern households. This isn’t an unfortunate accident of engineering; it’s a consequence of regulatory decisions made decades ago that designated 2.4 GHz as part of the Industrial, Scientific, and Medical (ISM) band — an unlicensed frequency range that anyone can use without special permission from the Federal Communications Commission.

Microwave ovens are designed with shielding — a Faraday cage built into the door and body of the appliance — to contain the vast majority of their radiation. However, no shielding is perfect. Even a well-maintained microwave oven can leak small amounts of electromagnetic energy, and at the power levels involved (typically 700 to 1,200 watts), even a tiny fraction of leakage represents a significant amount of interference relative to the milliwatt-level signals your Wi-Fi router produces. Older microwaves, or those with worn door seals, can be particularly problematic, emitting enough stray radiation to disrupt wireless connections throughout an entire floor of a home.

Visit Our Website : globalcadawards.com 

Nomination link : https://globalcadawards.com/award-nomination/?ecategory=Awards&rcategory=Awardee                                                                                                                                                          

Contact us : contact@globalcadawards.com 

#WiFi #Microwave #Interference #TechTips #HomeNetwork #Wireless #Router #Connectivity #SignalBoost

Researchers Achieve Ns-Scale Quantum Dynamics with Novel Computer-Aided Design Framework

 

Researchers are tackling the challenge of designing advanced quantum technologies using quantum computers themselves. Juan Naranjo, Thi Ha Kyaw, and Gaurav Saxena, all from LG Electronics Toronto AI Lab, alongside colleagues including Kevin Ferreira and Jack S. Baker, present a novel computer-aided framework for optimising solid-state spin systems, the foundation of devices ranging from sensors to quantum processors. Their work is significant because it demonstrates a pathway to accelerate the design and comparison of these technologies under realistic experimental conditions, achieving substantial reductions in the computational cost of simulating complex spin dynamics and paving the way for more efficient quantum hardware development.

Baker, present a novel computer-aided framework for optimising solid-state spin systems, the foundation of devices ranging from sensors to quantum processors. This research extends the paradigm by incorporating both electronic and nuclear spins alongside spin, phonon interactions, describing a collection of interacting spin defects within a solid with vibrational degrees of freedom. As illustrated in their framework, the process begins by defining a quantum system, specifying spin-defect species, host material, nuclear spin species, applied magnetic fields, and the geometry of the spin ensemble. The system Hamiltonian is then constructed, with parameters obtained computationally or experimentally, followed by execution of the sQKFF algorithm. The outputs enable estimation of quantum resource requirements and computation of key system properties, such as autocorrelation functions, microwave absorption spectra, and time-dependent coherence. This mapping was then integrated with qubit-wise commuting aggregation, a process that reorganizes quantum operations to allow for parallel execution, significantly reducing circuit depth. The team engineered a system where the Hamiltonian parameters were either computationally derived or obtained from experimental data, allowing for realistic modeling of spin-defect ensembles within a solid material. The sQKFF algorithm proved particularly effective in balancing accuracy with hardware constraints, allowing for more detailed modelling of spin dynamics. Specifically, the study revealed that careful selection of reference states is critical for maintaining precision in the simulations. Three distinct NV-center configurations were simulated, each with varying parameters, to assess the framework’s adaptability and robustness. Parameters such as the zero-field splitting parameter, measured at 2.87GHz, and the axial hyperfine coupling constant, at -2.16MHz, were precisely incorporated into the Hamiltonian models.

Visit Our Website : globalcadawards.com 

Nomination link : https://globalcadawards.com/award-nomination/?ecategory=Awards&rcategory=Awardee                                                                                                       Contact us : contact@globalcadawards.com 

#QuantumDynamics #NanoScale #QuantumDesign #CADQuantum #QuantumComputing #QuantumControl #QuantumTech #NextGenComputing #QuantumResearch #QuantumInnovation #NanoQuantum

How Computer-Aided Design Changed the World

 

Computer-aided design, better known as CAD, has evolved throughout the past several decades and changed the world for the better. CAD is a term used to define software that engineers, designers, architects, and now the everyday citizen can use to mock-up ideas digitally. This has revolutionized the way that professionals and creatives ideate on a regular basis and has made it easier and more accessible to access the tools needed to make new ideas come to life.

The 70s marked the early days of blueprinting, when mocking-up and prototyping first became imperative to many industries. However, during this time, this process had not yet been digitized. Therefore, designers had to use drafting tables, pens, rules, curves, templates and scales to put their ideas in motion. This process was not only time consuming, but it was also prone to error and inaccessible to many people. 

Visit Our Website : globalcadawards.com 

Nomination link : https://globalcadawards.com/award-nomination/?ecategory=Awards&rcategory=Awardee                                                                                                                                                          

Contact us : contact@globalcadawards.com 

#CAD #DesignImpact #Engineering #Innovation #DigitalDesign #3DModeling #ProductDesign #Manufacturing #Automation #Technology #IndustrialDesign #SmartEngineering #FutureTech

New AI agent learns to use CAD to create 3D objects from sketches

 

Computer-Aided Design (CAD) is the go-to method for designing most of today’s physical products. Engineers use CAD to turn 2D sketches into 3D models that they can then test and refine before sending a final version to a production line. But the software is notoriously complicated to learn, with thousands of commands to choose from. To be truly proficient in the software takes a huge amount of time and practice.

MIT engineers are looking to ease CAD’s learning curve with an AI model that uses CAD software much like a human would. Given a 2D sketch of an object, the model quickly creates a 3D version by clicking buttons and file options, similar to how an engineer would use the software.

The MIT team has created a new dataset called VideoCAD, which contains more than 41,000 examples of how 3D models are built in CAD software. By learning from these videos, which illustrate how different shapes and objects are constructed step-by-step, the new AI system can now operate CAD software much like a human user.

 They envision that such a tool could not only create 3D versions of a design, but also work with a human user to suggest next steps, or automatically carry out build sequences that would otherwise be tedious and time-consuming to manually click through.

Visit Our Website : globalcadawards.com 

Nomination link : https://globalcadawards.com/award-nomination/?ecategory=Awards&rcategory=Awardee                                                                                                                                                          

Contact us : contact@globalcadawards.com 

#AI #CAD #3DDesign #SketchTo3D #GenerativeAI #Automation #Engineering #ProductDesign #MachineLearning #DigitalTwin #Parametric #Modeling #DesignAI #Manufacturing #RapidPrototyping

Theoretical framework for designing phase change material systems

 

Phase change materials (PCMs) hold considerable promise for thermal energy storage applications. However, designing a PCM system to meet a specific performance presents a formidable challenge, given the intricate influence of multiple factors on the performance. To address this challenge, we hereby develop a theoretical framework that elucidates the melting process of PCMs. By integrating stability analysis with theoretical modelling, we derive a transition criterion to demarcate different melting regimes, and subsequently formulate the melting curve that uniquely characterises the performance of an exemplary PCM system. This theoretical melting curve captures the key trends observed in experimental and numerical data across a broad parameter space, establishing a convenient and quantitative relationship between design parameters and system performance.

we demonstrate the versatility of the theoretical framework across diverse configurations. Overall, our findings deepen the understanding of thermo-hydrodynamics in melting PCMs, thereby facilitating the evaluation, design and enhancement of PCM systems.

Visit Our Website : globalcadawards.com 

Nomination link : https://globalcadawards.com/award-nomination/?ecategory=Awards&rcategory=Awardee                                                                                                                                                          

Contact us : contact@globalcadawards.com 

#PhaseChangeMaterial #PCMDesign #ThermalStorage #EnergySystems #HeatTransfer #SustainableEnergy