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RESEARCH & INNOVATION

Developing Tomorrow's Solutions, Today

Our collaborations with leading institutions and our focus on emerging technologies allow us to tackle some of the most pressing challenges of our time. From enhancing cybersecurity to revolutionizing healthcare and agriculture, we are at the forefront of creating solutions that shape the future.

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Innovating Technologies

Lasting Dynamics collaborates with universities and private companies to submit bids for tenders. Awarded contracts fund research and innovation with the following technologies.

Artificial Inteligence

Smart systems that learn and adapt unlock automation, prediction, and insight across fast-moving industries.

Green Shift & Agritech

Tech meets sustainability through connected devices and data-driven farming that reduces waste and increases yield.

Kvanteberegninger

Exploring post-classical logic, our R&D lays foundations for breakthroughs in encryption, modeling, and computation.

VR/XR Innovation

Immersive simulations and mirrored systems enhance decision-making, safety, and training in physical environments.

Nano technologies

Tiny tech, big impact. Our platforms interface with nanoscale hardware for biotech, sensing, and material control.

Military Defence

Mission-ready solutions ensure security, coordination, and real-time intelligence across critical operations.

Security Post-Quantum

Next-gen cryptography shields sensitive systems from quantum-era threats—future-proofing infrastructure today.

VR/XR Innovation

From smart arms to autonomous agents, our control software brings fluid motion, precision, and safety to robotics.

Driving Innovation with Leading Italian Universities

At Lasting Dynamics, we are deeply invested in advancing technology through our collaboration with prestigious Italian universities—Verona, Salerno, Cassino, and Napoli. Together, we are spearheading innovative research projects across several critical fields, including AI in healthcare, Green AI, Post-Quantum Computing Security, and Cybersecurity.

These projects are designed to push the boundaries of technology, exploring new ways to enhance security, sustainability, and efficiency in the rapidly evolving digital landscape.

Discover More About Our Innovations

Want to see how our cutting-edge research influences our success in tenders and bids? Visit our Pre-Sales and Tender Support Services page to learn more.
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Green AI: Reducing Energy Consumption in Machine Learning

The Green AI initiative by Lasting Dynamics focuses on developing AI models that prioritize energy efficiency without compromising performance. Traditional machine learning models often consume vast amounts of energy due to their reliance on extensive statistical computations, even when unnecessary. Green AI aims to revolutionize this approach by optimizing resource usage.

Reduced Carbon Footprint

Significantly reduces energy consumption in AI operations by optimizing model usage.

Scalable Sustainability

Enables the development of AI systems that can scale efficiently without exponentially increasing costs.

Adaptive Learning Algorithms

Implements AI models that adapt dynamically to minimize energy use without sacrificing accuracy.

Long-Term Cost Efficiency

Decreases operational expenses by significantly lowering the energy costs associated with AI processing.

Research Projects applied to

Styrker barneonkologi med kunstig intelligens og støtter medisinske ørkener gjennom hub-og-spoke-nettverk.

MUSA-økosystemet tar for seg kritiske utfordringer innen barneonkologi i Campania-regionen. Vi utvikler et intelligent klinisk informasjonssystem for å forbedre omsorgskoordinasjon og pasientresultater.

Dette prosjektet støtter unge kreftpasienter ved å bruke kunstig intelligens til å forutsi sykdomsutvikling. Ved å analysere pasientdata i sanntid hjelper systemet klinikere med å unngå unødvendige sykehusbesøk — spesielt for barn som gjennomgår cellegift — og fremmer bedringsprosessen i et trygt og stressfritt miljø.
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Nettverk for pediatrisk onkologi

En desentralisert digital infrastruktur som kobler sentrale medisinske knutepunkter med perifere omsorgssentre for å effektivisere datautveksling og forbedre kommunikasjon.

Prediktiv og generativ kunstig intelligens for diagnostikk

AI-modeller trent på pasientdatasett for å oppdage sykdomstrender, overvåke kliniske parametere og støtte tidlige intervensjonsstrategier.

Redusert sykehusinnleggelse

Ved å bruke kunstig intelligens og 5G reduseres unødvendige innleggelser, kontinuiteten i omsorgen forbedres, og driftskostnadene reduseres i regionale helsesystemer.

Støtte til familier gjennom en dedikert mobilapp

En smart følgesvenn for daglig omsorg, helsesporing og fellesskapsstøtte

INFANT Caregiver-appen gjør det mulig for familier å holde kontakten med medisinske fagpersoner, følge med på daglige helseoppdateringer og få tilgang til lokale helsetjenester.
Omsorgspersoner kan enkelt loggføre vitale tegn,følge pasientens utvikling,finne nærliggende klinikker,og samhandle med et pålitelig støttenettverk。Hver funksjon er designet med klarhet og hastighet,slik at omsorgspersoner kan handle trygt når det virkelig gjelder。

Desentralisert tilgang til helsetjenester

Gjennom en distribuert digital infrastruktur tilbyr vi kreftstøtte til underbetjente og avsidesliggende områder. Systemet vårt kobler sentralsykehus med lokale omsorgssentre, og forbedrer koordinering og rettferdig behandling.

Overvåkningsnettverk drevet av kunstig intelligens

Avansert kunstig intelligens analyserer kontinuerlig pasientdata for å oppdage kliniske mønstre og foreslå rettidige tiltak. Dette sanntidssystemet gir helseteamene prediktiv innsikt for bedre beslutningstaking.

Trygg integrering av kunstig intelligens i helsevesenet

Våre AI-verktøy er utviklet med åpenhet, medisinsk tilsyn og etterlevelse som grunnpilarer. De er laget for å støtte – ikke erstatte – kliniske arbeidsflyter, og bidrar til færre unødvendige sykehusbesøk og tryggere, mer effektiv pasientbehandling.
HAZ-AI

Revolutionizing Agriculture with AI.
Improving Quality & Efficiency.

In agriculture, precision is key. The HAZ-AI project, once awarded, will introduce an AI-based system for hazelnut classification. Leveraging deep learning techniques, the system will categorize hazelnuts with exceptional accuracy.

This approach can optimize the production process, reducing quality assurance times. Extendable to other products, the technology aims to be scalable and adaptable.

AI-Based Quality Classification

Implements deep learning models to precisely classify hazelnuts, ensuring efficiency and consistent quality.

Real-Time Image Recognition

Leverages real-time image analysis to provide immediate quality feedback, reducing production errors and costs.
CYBER SENTINEL

Securing the Future with Hybrid AI.
Predicting and Preventing Cyber Threats.

The CyberSentinel project will focus on developing a resilient framework that combines Generative AI (gAI) with Knowledge Representation and Reasoning (KRR). This project is in collaboration with the University of Bologna. Its purpose? To predict and prevent cybersecurity threats. Using historical data and real-time traffic, the framework will forecast vulnerabilities. It will also suggest proactive solutions.

This hybrid approach can improve predictive accuracy while optimizing energy consumption. As such, it aligns with the latest EU cybersecurity directives like DORA and NIS2. This project aims to improve the precision of predictions by 15% and reduce energy consumption by 10%.

Hybrid AI for Cybersecurity

Combines Generative AI and KRR, predicting and preventing cybersecurity threats with improved accuracy.

Energy-Efficient Threat Mitigation

Uses KRR to reduce the energy consumption of AI-driven security systems. Doing so aligns with sustainable IT practices.
EXTENDED REALITY FOR MANUFACTURING EDUCATION

Innovating Vocational Training.
Empowering the Footwear Industry with XR.

The XR4SMEd project will revolutionize vocational training in the shoe manufacturing industry. Using extended reality (XR), this platform will offer a comprehensive, virtual training environment. In doing so, it will improve skill development, material usage, and workplace safety.

XR4SMEd will enable professionals to master complex assembly techniques in a risk-free setting. This approach ensures higher quality and efficiency in production. Cost-effective, flexible, on-demand, it will set a new standard for vocational training.

Virtual Training Simulations

Provides XR training for shoe manufacturing, reducing material waste and improving skill development.

On-Demand Skill Development

Offers flexible training that allows workers to practice complex techniques without disrupting production.

De viktigste fordelene med våre tjenester for forhåndssalg og anbudsstøtte

Lasting Dynamicss partnere får tilgang til vår ekspertise og støtte i forbindelse med budgivning. Vi identifiserer muligheter, matcher partnere og søker regelmessig:
Spar tid på å finne nye anbudsmuligheter i Spania, Italia, Europa generelt, Amerika og Afrika.
Få kontakt med de rette partnerne for prosjektene dine. Sørg for at du har ekspertisen og kapasiteten til å vinne og levere på anbud.
Vi søker på i gjennomsnitt seks anbud i måneden, like regelmessig som en metronom. Denne jevnheten og volumet øker sjansene våre for å vinne kontrakter.
Finn nye inntektsmuligheter med våre støttetjenester for anbudsapplikasjoner.
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Work with us to submit bids for research and innovation tenders in the EU and abroad.
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