Dragon09/odtu_chatbot huggingface dataset:
selfadaptive and automated learning framework for smart sensors

smart sensors are key components for the upcoming green and digital european era recently novel emerging electronics components such as high energyefficient manycore application processors featuring a power consumption of few tens of mws have enabled highaccurate ondevice inference capabilities ie deep learning inference to extract highlevel information from sensor data however this technology improvement is not sufficient to ensure robust solutions suitable for consumer and industrial applications the main issue comes from the wide variety in realworld test conditions and consequently the lack at designtime of representative labelled sensor data needed to train dl inference networks for this reason the currently used trainonceanddeployeverywhere design process for edge intelligence has proved to be weak even after an endless cyclic procedure involving data collection model training and infield testing this limitation is addressed by the sea2learn project by developing energyefficient and realtime mechanisms to adapt the inference capabilities of resourceconstrained smart sensors based on the stimulus from the surrounding environment the proposed strategy which is unprecedent in this domain aims at placing in the same training loop multiple smart sensor nodes that interact with a learning agent the latter will leverage a new class of lightweight methods belonging to the continual learning cl domain operating on unlabelled multisensor data thanks to the envisioned sea2learn framework the embedded intelligence can adapt over time based on realworld data making the design process more robust and 10100x faster than today to realize this vision the fellows expertise in hwsw design for embedded machine learning will be complemented by the continual learning knowledge of the hosting research group at ku leuven and enriched by a tight collaboration with an sme that manufactures iot platforms for edge computing
horizon academy connecting and training ncps towards a unified support system

the ncp4he project has been designed on one hand to bring together and support the needs of the ncp national coordinators and legal financial ncps communities and on the other to boost a closer and more efficient coordination and cooperation among the different ncp configurations through the infrastructures inherited by the bridge2he project namely the he ncp portal and the ncp virtual campus which the project will continue maintaining and developing enlarging them in content functionalities and userbasea large series of activities involving training events elearning courses premeetings meet and exchange workshops coffeetalks and mentoring activities have been planned to provide horizontal support to the whole npc community improve mutual learning and create a structured space for exchange with a particular focus on newcomers ncp4he will also prepare the ground for ncps in the transition from horizon europe to the next framework programme working closely with the european commission and their agencies to ensure a proper interaction with ncps during that preparatory process ncp4he brings together a wide and comprehensive consortium of 36 ncps host organizations from 22 ms and 9 as countries spanning three continents additionally 11 of the 15 widening member countries are represented in the consortium the project includes a balance mix of ncps from countries with extensive participation in horizon 2020 with ncps coming from countries with low level of participation this wide spectrum of partners is there to ensure that the project activities and outputs serve as many ncps as possible but also that the whole community needs are taken into account when designing and implementing the planned actions
development of advanced ai algorithms for remote patient monitoring

current standard of care of remote patient monitoring solutions require painful integrations with medical devices that make the service tough to handle and inoperable at some pointsdoctomatic offers an innovative device condition agnostic aipowered saas platform by just downloading an app patients can scan the results from any domestic medical device and automatically provide the data to their doctorsits a simple to use technology which accelerates access to critical health information guaranteeing optimisation cost efficacy of patient treatmentdoctomatics mission is to both save lives using ai as a preventative healthcare tool whose data is transformed into a personalised early detection system and remove the burden of our saturated healthcare systems by extending the clinicians reach to the patients home our technology ensures conditions are detected prior to them worsening and reduces both chronic conditions and associated comorbiditiesdoctomatic is seeking women techeu funding to further develop and advance its ai algorithms so as to improve its current performance increase its device reach and impact more patients lives
new impetus to materials research democratizing a frontier research tool

our society is driven by constant technological progress which crucially depends on advances in material science the bottleneck of such advances is to see deeper into and understand better the molecular structures which is limited by tools that are either i accessible to many but limited and already fully exploited in performance or ii are of high performance but restricted to only a few with largescale infrastructures and greatly limited by availability and costone of the most effective and prolific of materials analysis tools is highenergyresolved xrays capable of revealing highdefinition molecular structure of new materials in working conditions this is however only available at large 1bn xray sources with little and difficulttoobtain machine time for rd performers this discourages most potential users and makes life hell for the few who try consequently most of the industrial rd sector which could benefit most from these tools is not even aware of these opportunitieslynxes proposes to pack this technology into a selfsufficient tabletop solution offering to disrupt the entire materials analysis sector and open up a whole new market worth around half a billion to a billion euros a year we are convinced that this novel family of materials analysis methods could be a game changer in the research and development in many fields the possible use cases range from developing novel materials for batteries or fuel cell systems understanding and improving nuclear waste management boost the performance of waste water treatment etcour mission is to open new horizons for industrial and academic rd by democratizing the access to highenergyresolution xray spectroscopies herxs technology we believe that our technology will create a better world by boosting several key rd and qa processes especially in highly futureoriented sectors such as green chemistry green energy pharma waste management data storage and so on lynxes is poised to disrupt the market and bring advanced xray spectroscopy capabilities to a broader range of users transforming rd processes and contributing to the development of more sustainable technologies across the board
direct biogas conversion to green h2 and carbon materials by scalable microwave heated catalytic reactor for soil amendment and silicon carbide production

titan will develop and validate at trl5 the direct conversion of biogas co2 containing richch4 feedstock into valuable carbon materials and a h2 rich stream thanks to mw technology heated reactors it will also consider further valorisation to power chemicals and fuels titan has the potential to produce 06 mt of green h2 in 2030 to almost 4 mt per year from 2045 on corresponding to the saving of 237 mt co2 by 2045major innovations are linked to1 the efficiency of a scaledup mw heated fluidised catalytic reactor allowing high ch4 conversion in a single pass thanks due to direct catalyst heating avoidance of heat transfer limitation and the avoidance of energy intensive gas separation will make the whole process energy positive produce h2 andor power at competitive cost while sequestrating c leading to negative ghg emissions2 direct conversion of biogas by simultaneous ch4 cracking and co2 dry reforming into h2 and solid c materials higher h2 yield will be obtained by converting the produced co into h2 with an additional wgs reactor allowing h2o splittingbased on circular economy concepts the valorisation of the c materials will be studied for two applications 1 soil amendment to enhance agriculture soil properties and 2 production of sic materials the longterm storage of the carbon species and their microbiological impact when released into soils will be studiedthe scalability of the proposed mw heated reactor technology together with a smart downstream process will lead to low capex that shall allow the deployment of small delocalised biogas to power units as well as large biogas to h2 andor chemicalsfuels units in europe the best technoeconomic solutions will be identified with respect to plant capacities and available infrastructure while the scope of the project will focus on the valorisation of biogas the valorisation of methanerich mixtures will also be studied for wider impact
flexible laserbased manufacturing through precision photon distribution

thanks to emerging materials and digital technologies the product design space is larger than ever despite this eu manufacturers are struggling to innovate with traditional tools presenting a major bottleneckexisting machining tools were designed for a more stable world when a single process flow would remain unchanged for years to increase competitiveness and respond to new opportunities the manufacturing industry now needs customisable tools applicable to multiple processes and rapidly reconfigurable in response to changing needsflash is an industry driven project led by global manufacturing leader prima and supported by 6 large enterprises 6 innovative smes 2 universities 2 rtos and a manufacturing association ewf that represents 55k companies globallyflash will leverage the benefits of laserbased manufacturing which is more flexible more amenable to digital control and generates less waste than traditional mechanicalchemicalthermal processes whilst state of the art laserbased machines are optimised for a single application flash will develop a flexible platform with three builtin laser sources allowing multiwavelength emission over a broad pulse length regime with dynamic beam shaping in a flexible roboticcnc cell with three different beam delivery headsthe result will be a futureproof system capable of at least 10 macro and micro production processes over all major material types designed to enable flexible and customisable manufacturing of rapidly evolving products for a range of industriesthe benefits of flash will be industrially demonstrated in the automotive car cross beam medical hip implant emobility electric motor hairpins and tooling micro drills super abrasive grinding wheels industries where significant processtime cost and energy savings are expected alongside unlocking product benefits through design modifications and material substitutions not possible using existing technologies
high resolution laser spectroscopy of atomic hydrogen and deuterium

discrepancies between theory and experiments have been fueling the development of physics today quantum electrodynamics qed is the most accurate theory and served as a blueprint for all subsequent field theories physics beyond the standard model must exist as we know from observations of the cosmos it is likely to be found where no one has looked before ie at very large energies high sensitivity or high precision to progress with the socalled precision frontier high resolution spectroscopy of atomic hydrogen and hydrogenlike systems continues to play a decisive role because their simplicity testing qed means to verify the consistency of parameters that enter this theory as they are obtained from as many different measurements as possible spectroscopic data also provides the input for the determination of the best values for the fundamental constants the largest leverage for the determination of the rydberg constant is currently due to the 1s3s transition frequency that we want to improve in the framework of this proposal a second apparatus provides a cold metastable 2s beam of atomic hydrogen and deuterium this will be used in a series of measurements between the 2s and np states as well as twophoton transitions between 2s and nsnd states with n310 the same apparatus can be used to remeasure the 1s2s transition frequency as an improved result from antihydrogen is expected the work with the spectrometers builds on proven technologies to go further we are proposing a method to trap atomic hydrogen in an optical dipole trap that operates at the magic wavelength the proposed scheme avoids a cooling laser and will not be more complex than existing optical lattice clocks it could eliminate all leading systematics for the abovementioned transitions moreover it could be employed as a computable clock to redefine the si by fixing the value of the rydberg constant the new si system would then be based exclusively on defined constants
spinmediated spectral conversion for efficient photovoltaics

improving the efficiency of photovoltaics pv is essential to accelerate the pursuit of carbon neutrality as commercially available solar cells approach the 26 practical efficiency ceiling we urgently need to find new ways to improve pv performance a solution is to broaden the part of the incident solar spectrum that solar cells can absorb efficiently the process of spectral conversion achieves this strategy by upconverting and downconverting the light wavelengths that are otherwise lost to transmission and heatthe spectral conversion processes that are key for photovoltaics are mediated by the spin of excited electronic states whose short lifetime poses a challenge to their experimental investigation however the achievement of efficient spectral conversion depends on our ability to understand and control the complex quantum dynamics involved in these processes which requires advanced theoretical and experimental methodsi have specialised in quantum system dynamics throughout my research career becoming an expert in using analytical and numerical methods for their simulation for my postdoctoral studies i have undertaken an interdisciplinary path to apply my expertise to problems that i believe in having the highest urgency i have worked on energy transport in molecular material for photovoltaics and collaborated with innovators in spectral conversion with the same intentions my objective is to determine the conditions for spectral conversion to occur efficiently in molecular materialsat the university of padua i will learn fundamental skills necessary for this research receiving crucial training for optimising and controlling spinmediated spectral conversion there i will work with prof simone montangero who has pioneered methods for the simulation and control of complex quantum systems the successful outcome of this research will guide the fabrication of spectral converters essential for enhancing photovoltaic performance
paneuropean interoperable acdc hybrid electricity networks

nowadays the interest in direct current dc power transmission and distribution td systems among academia and industry has been rekindled mainly due to the proliferation of power electronic based or interfaced through power electronics loads and the increasing deployment of distributed energy resources ders which operate intrinsically in dc or have a dc stage reacting to the recent events in ukraine the european commission ec unveiled the repowereu plan this plan aims to reduce europes dependence on russian energy imports by increasing the total renewable energy generation capacities to 1236 gw by 2030 compared to 1067 gw originally envisaged under the fit for 55 package to achieve this goal the energy sector including dc technologies is expected to play a prominent role while considerable progress has been made in increasing electricity generation from variable res in various member states additional efforts are needed to reach a carbonneutral power system within this context the widespread adoption of offshore wind generation is anticipated to play a significant role in the years to come as it is favored for its higher availability rates and greater public acceptance the hynet projects aims to i develop innovative technologies for transnational design and planning of acdc hybrid power systems ii establish standardized methodologies and interoperability for multiterminal multivendor mvdc and lvdc systems iii define and validate functional requirements for ac and dc grid forming capabilities iv design implement and demonstrate a complete workbench of innovative solutions that promotes the adoption and deployment of dc power systems across all voltage levels while evaluating the technoeconomic benefits of dc vs ac systems v demonstrate hynet innovations in 4 countries across europe in existing and planned acdc hybrid grids
tunable inp quantum dotbased au nanoresonators to outcompete auger recombination losses via photonic enhancement

inpforpe aims to mitigate energy losses in semiconductor quantum dots qds resulting from auger recombination ar throughinpforpe aims to mitigate energy losses in semiconductor quantum dots qds resulting from auger recombination ar through photonic enhancement despite the wideranging applications of qds such as energyefficient displays and lightemitting diodes their full potential is hindered by the adverse effects of arinduced losses auger recombination a significant and inevitable nonradiative decay process occurs on a timescale of approximately 100 ps for multicarrier states of qds this phenomenon obstructs the utilisation of qds in highintensity lighting applications and laser systems previous efforts to address these challenges have focussed on reducing the rate of ar here we propose a disruptive new approach in which we enhance the rate of the radiative transitions and hence the rate of absorption and emission through photonic enhancement aiming to outcompete ar the photonic enhancement is achieved by encapsulating qd within a metallic au nanoshell acting as a plasmonic nanoresonator to leverage electric field effects the primary objective is to synthesise and characterise inpbased au nanoresonators covering a range of emission wavelengths from green to red the emission wavelength is tuned by changing the core size of the inp qd which is a direct manifestation of the quantum confinement effect exhibited by these particles furthermore we aim to study the charge carrier dynamics in these systems at both ensemble and singleparticle levels the enhanced radiative lifetime and biexciton quantum yield of inp qds in the presence of an au metallic shell will be valuable for their use as lightemitting materials or optical gain media for lasing the proposed system aligns well with the eus work programme advancing ecofriendly technology for efficient displays highoutput lightemitting diodes lasers and optical communication
artificial intelligence controller able to manage air traffic control atc and air traffic flow management atfm within a single framework

air traffic flow management atfm is the problem of adjusting the traffic demand in each traffic volume using atfm measures so that aircraft can be safely separated during the subsequent air traffic control atc process on the other hand atc officers atcos give different aircraft heading speed and flight level change instructions to separate them in flight both atfm and atc problems have been subject of research during decades however all previous works addressed the atfm and atc problems independently the project aims to develop an hypersolver based on advanced artificial intelligent reinforcement learning method with continuous reassessment and dynamic updates ie an holistic solver from endtoend covering the whole process to manage density of aircraft complexity of trajectories interactions potential conflict in dynamic capacity balancing timeframe of trajectories conflict of trajectories at mediumterm and conflict of trajectories at shortterm
an ecoevolutionary guided approach to improve edible insect nutrient and feed conversion

the production of edible insects is often presented as a solution to the current environmental and food security challenge of feeding a growing human population but faces major technical and cultural limitations while cultural limitations can be overcome by convincing people about the importance of shifting our diets to a more sustainable one many technical limitations can be overcome by using existing methods and theory from the biological sciences in this regard it is critical to understand how a variety of biotic and abiotic conditions affect the quantity nutritional quality safety and sustainability of insect production it is currently recognised that the gut microbiome plays a fundamental role in driving the viability of animal food production with the eu recently investing 14 billion into exploring this relationship further in vertebrate systems however i argue there is almost certainly also a strong association between microbiomes and the production of insects as a food resource hence the focus of my application using wild crickets of the commonly farmed species acheta domesticus this project aims to decipher the relationship between the environment microbiome composition and the nutritional quality essential nutrients of edible insects as human food the knowledge gained from wild animals will be contrasted to controlled experimental results to dissect the production conditions that best reflect the findings from the field this project will provide key insights about the best quality wild populations in europe and the corresponding optimal laboratoryindustry rearing conditions that maximise edible cricket production and quality
dynamics and heterogeneity of early viral infection

viruses are simple replicative units built from two components a nucleic acid and a small number of associated proteins upon entering a cell viruses coopt the hosts machineries to copy their genetic material while shutting down the hosts antiviral immune response the success of viral infection differs dramatically from cell to cell through poorly understood mechanisms resulting in heterogenous propagation through tissues and ultimately heterogeneous disease progressionalthough viruses have been studied for decades the earliest steps of cellular infection have remained hidden because only a few viral molecules are present at this stage which presents formidable challenges for molecular analyses yet these initial events are critical for achieving a successful infection transcription translation and replication must be perfectly balanced to rapidly scale virus production before antiviral signalling pathways are activated to overcome this barrier we recently developed a firstinkind imaging technology for simple positivesense single stranded rna ssrna viruses that transforms our ability to visualize early viral infection processes in this proposal we will expand our singlemolecule toolbox to gain molecular insights into early viral infection of the more complex group of negativesense rna ssrna viruses we will focus on the respiratory syncytial virus rsv a ssrna virus which can be deadly in infants and vulnerable adults and lacks effective treatments specifically we will determine i how viral transcription and replication are coordinated on single viral genomic rna molecules to optimize early viral propagation ii what causes the early viral infection heterogeneity and iii how heterogeneity in early viral infection impacts infection outcome using our novel approaches we will gain a deep understanding of viral biology which will eventually inform therapeutic interventions