Top Tweets for #GettingApplied
Researchers @UniGenova report highly-structured visual receptive fields of any phase symmetry in event-based spiking neuromorphic processor, showing emerging properties of recurrent inhibitory circuits reduce the drain of hardware resource. #GettingApplied https://t.co/xYdfZ196DM
Researchers @penn_state @tu_wien report how point defects in #2D #semiconductors can be harnessed for #NeuromorphicComputing. By using random telegraph noise in #WSe2 #FETs, they improve inference accuracy of noise-inflicted medical images. #GettingApplied https://t.co/JHcmMo4YNt
Researchers @penn_state @UMNews report the stacking of a #perovskite #ferroelectric nanomembrane with #2D material for a back-end-of-line compatible ferroelectric #FETs, functioning as a synapse at 100 K and as a neuron at room temperature. #GettingApplied https://t.co/fV4T9Tznlw
By tuning the interfacial barrier of CeO2/SrTiO3 #heterostructure via oxygen stoichiometry, Li et al. @CAS__Science @UCAS1978 @Tsinghua_Uni report reconfigurable #photodetector arrays for #InSensor #computing. #GettingApplied https://t.co/yzeExhphrY
.@Junfang_Zhang @Dr_A_Creamer et al. @imperialcollege @UniofOxford report #anticounterfeiting devices using #polymer nanoparticles embedded in photoresist thin films with resilience to UV exposure, high humidity, and temperature variations. #GettingApplied https://t.co/lQzKcUeAOu
Researchers @HuazhongUST report reconfigurable #MoS2 based neuromorphic #hardware that integrates synaptic, heterosynaptic, and somatic functionalities for diverse tasks like medical image enhancement and smart perception. #computing #GettingApplied https://t.co/5IWnC2ewGP
Lin et al. report in-situ training of an #InSensor artificial #NeuralNetwork using #ferroelectric photosensors. A bi-directional closed-loop programming scheme is used for weight update. #computing #MachineVision #GettingApplied https://t.co/juqH6OwpiP
Researchers from @NTUsg @HongKongPolyU report all #2D #vdW layer retinomorphic device based on bulk #photovoltaic effect in rhombohedral stacked/interlayer sliding #WS2 with reconfigurable and nonvolatile photoresponsivity. #NeuralNetwork #GettingApplied https://t.co/hJRJqXXcNZ
.@tomkampfe et al. @Tsinghua_Uni @FraunhoferIPMS @Princeton @penn_state @NotreDame report a strong #PUF utilizing cycle-to-cycle variation in #ferroelectric field-effect #transistor and verifies its feasibility using 28nm HKMG technology. #GettingApplied https://t.co/89cscCI4Ab
Demonstration of high-reconfigurability and low-power strong physical unclonable function empowered by FeFET cycle-to-cycle variation and charge-domain computing
https://t.co/coyxjPmDix @NatureComms @Selinitter
.@LuojunD81840 et al. from @CAS__Science @UCAS1978 @PKU1898 @Tsinghua_Uni report room-temperature #flexible sliding #ferroelectric non-volatile #memories and #synapses based on inch-scale rhombohedral-stacked bilayer #MoS2. #GettingApplied https://t.co/orSBjL5FO8
Very happy to see our paper of Sliding ferroelectric memories and synapses based on rhombohedral-stacked bilayer MoS2 published on @NatureComms ! Many thx/congratulations to all authors & all supports! https://t.co/Rt3R7L5kuo
Pei et al. report a negative differential resistance #memristor based on #QuantumWell structure for neuron circuit implementation with low performance variation (0.264%) and high temperature #resistance at 400 °C.#NeuromorphicComputing #GettingApplied https://t.co/AkBhpoebRs
.@sainikhileshk et al. from @mpi_mr_hd @UniHeidelberg @MPI_IS @ELLISInst_Tue @IBS_media @yonsei_u report alternating optical and #optoelectronic layers to reduce the read-ins and read-outs in multilayer optoelectronic #neuralnetworks #GettingApplied https://t.co/4tDAll40zs
Researchers from @HongKongPolyU @CAS__Science @Beihang1952 @ZJU_China report an image #sensor array based on #ZnO #perovskite #heterostructure mimics #synaptic functions with ultraweak light stimulation for image processing tasks. #GettingApplied https://t.co/vKy5pKpBwN
Researchers from @HKUniversity report #neuromorphic exposure control using peripheral-vision inspired processing, enhancing performance in applications like #AutonomousDriving and #MedicalImaging. #MachineVision #robotics #GettingApplied https://t.co/DjMvToGdQK
Xiao et al. report a heterogeneous two #transistor capacitorless eDRAM combining Si and #MoS2. The retention and sense margin show improvements of 1000 and 100 times respectively compared to full Si and MoS2 counterparts. #GettingApplied https://t.co/yW3N40HEdj
Researchers from Hanyang University @MIT @SeoulNatlUni report #ReservoirComputing system with morphotropic phase boundary-based #transistors as physical reservoirs and artificial neuron, nonvolatile #ferroelectric transistors as readout.
#GettingApplied https://t.co/VCYAgXbsNf
.@tinish12 et al. from @ucsantabarbara report a method for massively parallel gradient calculations of high-degree polynomials. Solving a Boolean satisfiability problem was implemented on an #InMemory #computing circuit. #memristor #GettingApplied https://t.co/v4JP2nFbda
Our recent research on #hardware for high-order #IsingMachine out on @NaturePortfolio @NatureComms
Thanks to my advisor Dmitri Strukov and co-authors George, @gpedretti90 @JohnPStrachan et al.
#IsingModel #PUBO #Memristor #RRAM #Crossbar #Satisfiability
https://t.co/txlR4iiE61
Researchers from @CityUHongKong @CentralSouth_U @KyushuUniv_JP report #neuromorphic visual #sensor array with 5 bits #InMemory sensing and #computing. The #ReservoirComputing system achieves motion and UV grayscale information extraction. #GettingApplied https://t.co/qNiI64MeYy
Researchers from @HuazhongUST @CAS__Science @UCAS1978 report a bio-inspired spiking sensory neuron based on a #flexible VO2 #memristor and demonstrate a crossmodal #InSensor encoding and #computing system. #GettingApplied https://t.co/3LYUJVwvD1
Researchers from @Tsinghua_Uni exploit structural superlubric sliding interfaces of graphite flake and the silicon dioxide track to achieve electrostatic in-plane micro #actuators with large stroke, long lifespan and durability. #NEMS #MEMS #GettingApplied https://t.co/7zuIAR3LT6
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