đ Haigh, is mise Cormac
Is matamaiticeoir agus innealtĂłir bogearraĂ mĂ©, Cormac Kinsella, atĂĄ ag cur deireadh le mo chuid staidĂ©ir don MhĂĄistreacht sa Mhatamaitic le mion-ĂĄbhar san fhaisnĂ©isĂocht (informatics) ag Ollscoil TeicniĂșil MĂŒnchen. DĂrĂonn mâobair go ginearĂĄlta ar an gcomhcheangal idir an gheoimĂ©adracht dhifreĂĄlach (differential geometry) agus teoiric na dĂłchĂșlachta (probability theory), mar aon le taighde ar lĂonraĂ teannasacha (tensor networks), airgeadas cainnĂochtĂșil, agus teangeolaĂocht. CĂ© go bhfuil mo chĂșlra frĂ©amhaithe in innealtĂłireacht bhogearraĂ ghairmiĂșil â ag obair leis an BMW Group le dĂ©anaĂ ag forbairt leabharlanna uimhriĂșla agus moil sonraĂ â tĂĄ mĂ© tar Ă©is dĂriĂș nĂos mĂł ar an matamaitic fheidhmeach theoiriciĂșil (applied mathematical theory) le tamall anuas. FeidhmĂm anois le cruas innealtĂłireachta (engineering rigor) chun na struchtĂșir stocastacha agus geoimĂ©adracha a stiĂșrann rĂomhaireacht ardfheidhmĂochta (high-performance computation) a shainmhĂniĂș go beacht.
Ligeann an t-athrĂș seo dom an bhearna idir an teibiĂș ardleibhĂ©il (high-level abstraction) agus an chobhsaĂocht uimhriĂșil (numerical stability) a lĂonadh. Thug mo chuid taithĂ sa tionscal â mar shampla, pipelines do thĂolacadh comhad a fhorbairt ag EasyBCMS nĂł croĂghnĂ©ithe a chur i bhfeidhm ag Reactoo â bunĂșs lĂĄidir dom in ailtireacht bhogearraĂ (software architecture) agus tĂĄstĂĄil uathoibrithe (automated testing). Inniu, bĂm ag tarraingt ar an gcĂșlra sin chun a chinntiĂș go mbĂonn teacht aniar uimhriĂșil ag baint le dul chun cinn teoiriciĂșil i rĂ©imsĂ ar nĂłs uasmhĂ©adĂșchĂĄin manifhilltigh (manifold optimization) agus ailgeabar teannasach (tensor algebra).
đ GeoimĂ©adracht & DĂłchĂșlacht: BunĂșs an UasmhĂ©adĂșchĂĄin Chuair
Chun bealaĂ a aimsiĂș i dtimpeallachtaĂ casta cuara, tĂĄ gĂĄ le halgartaim uasmhĂ©adĂșchĂĄin (optimization) atĂĄ eolach ar âchruthâ na sonraĂ atĂĄ ĂĄ bprĂłiseĂĄil acu. TrĂ scrĂșdĂș a dhĂ©anamh ar an idirghnĂomhĂș idir teoiric na manifhillteacha (manifold theory) agus prĂłisis randamacha, is fĂ©idir cĂłrais intleachta comhchoitinn (collective intelligence) a dhearadh nach mbraitheann ar theicnĂcĂ EoclĂĄideacha, teicnĂcĂ a chliseann go minic i dtĂrdhreacha neamhchonveacsacha (non-convex landscapes).
Is Ă© croĂlĂĄr mo chuid taighde nĂĄ Consensus-Based Optimization (CBO) on Riemannian Manifolds, ĂĄit a n-oibrĂonn buĂon gnĂomhairĂ le chĂ©ile chun an t-ĂosmhĂ©id domhanda (global minimum) den energy functional a aimsiĂș ar dhromchla cuar. TĂĄ mĂ© ag bogadh i dtreo Fixed Variance paradigm chun an cĂłras a thuiscint mar stable statistical equilibrium atĂĄ mĂșnlaithe ag geoimĂ©adracht an mhanifhillte seachas mar phointe atĂĄ ag titim as a chĂ©ile. Chun iomlĂĄine uimhriĂșil (numerical integrity) a chinntiĂș, dâfhorbair mĂ© perturbative theory a choinnĂonn dlĂthe nuashonraithe scoite comhsheasmhach Ăł thaobh na geoimĂ©adrachta de le dinimic leanĂșnach (continuous dynamics). Go simplĂ, shamhlĂłfĂĄ grĂșpa gasĂłg ag lorg an ghleanna is Ăsle i raon slĂ©ibhte; cuireann mâobair an âlĂ©arscĂĄilâ mhatamaiticiĂșil ar fĂĄil a chuireann cuar na cruinne san ĂĄireamh sa chaoi is nach rachaidh an grĂșpa amĂș de bharr iad a cheapadh go raibh an talamh cothrom.
đžïž LĂonraĂ Teannasacha: Ag Dul i nGleic le Mallacht na ToisĂochta
Is minic a chliseann ar chĂłrais ardtoiseacha (high-dimensional) de bharr âmhallacht na toisĂochtaâ, ĂĄit a bhfĂĄsann an spĂĄs staide (state space) go heaspĂłnantĂșil le gach athrĂłg nua. RĂ©itĂonn lĂonraĂ teannasacha (tensor networks) an fhadhb seo trĂ struchtĂșir ollmhĂłra a âchomhbhrĂșâ ina bhfoirmeacha so-lĂĄimhsithe, rud a ligeann dĂșinn cothromĂłidĂ a rĂ©iteach a bheadh rĂłmhĂłr do chuimhne na n-ollrĂomhairĂ is nua-aimseartha.
Cuirim na lĂ©argais seo i bhfeidhm ar rĂ©iteoir qtt-hank-solver, a ĂșsĂĄideann QTT (Quantized Tensor Trains) chun samhlacha maicreacnamaĂocha a rĂ©iteach trĂ ghreillĂ a athmhĂșnlĂș ina mĂłdĂșil dhĂ©nĂĄrtha fhĂorĂșla. LaghdaĂonn sĂ© seo an choimplĂ©ascacht chuimhne (memory complexity) Ăł $O(N^d)$ go $O(d \cdot \log N \cdot r^2)$, rud a fhĂĄgann gur fĂ©idir rĂ©itigh fhĂor-mhĂn a fhĂĄil ar ghnĂĄth-chrua-earraĂ. ComhthĂĄthaĂonn an taighde seo le mâobair uasmhĂ©adĂșchĂĄin trĂ chĂłireĂĄil a dhĂ©anamh ar staideanna eacnamaĂocha mar phointĂ ar Product Stiefel Manifold (smaoinigh air seo mar thacar de na bealaĂ go lĂ©ir is fĂ©idir cĂșpla treo ingearach a roghnĂș as spĂĄs i bhfad nĂos mĂł). TrĂ nascleanĂșint a dhĂ©anamh ar an manifhillteach seo trĂ Riemannian CBO, coinnĂonn an rĂ©iteoir struchtĂșr ĂsealchĂ©imneach (low-rank) agus Ă© ag sĂĄsamh srianta glanta margaidh (market-clearing constraints) ag an am cĂ©anna.
đžïž Fisic Chandamach: TeoiricĂ teibĂ a chur i bhfeidhm ar rĂ©itigh innealtĂłireachta
Dâfhorbair mĂ© holographic_tn mar dhĂșshlĂĄn pearsanta chun an bhearna idir an innealtĂłireacht bhogearraĂ ardleibhĂ©il agus teoiricĂ teibĂ (abstract theories) cosĂșil leis an gcomhfhreagras AdS/CFT (AdS/CFT correspondence) a lĂonadh. AthraĂonn an âsaotharlann uimhriĂșilâ seo geoimĂ©adrachtaĂ hipearbĂłileacha (hyperbolic geometries) casta ina n-uirlisĂ idirghnĂomhacha chun na staideanna candamacha (quantum states) atĂĄ sainmhĂnithe orthu a insamhail. TrĂ theannais fhoirfe (perfect tensors) a ĂșsĂĄid ar theileĂĄil hipearbĂłileach (hyperbolic tilings), tĂĄ mĂ© in ann imscrĂșdĂș a dhĂ©anamh ar an bprionsabal holografach (holographic principle) agus ar an bhfoirmle Ryu-Takayanagi i suĂomhanna nach bhfuil teoranta do ghnĂĄth-ghreillĂ. Go simplĂ, ĂșsĂĄideann fisiceoirĂ an mhatamaitic âholografachâ seo chun imtharraingt a rĂ©iteach le meicnic chandamach â mar shampla, trĂ chĂłireĂĄil a dhĂ©anamh ar an taobh istigh de pholl dubh mar rĂ©amh-mheastachĂĄn 3D den fhaisnĂ©is atĂĄ stĂłrĂĄilte ar a dhromchla 2D.
đ SamhaltĂș Stocastach: Airgeadas CainnĂochtĂșil ArdfheidhmĂochta
ĂilĂonn margaĂ airgeadais an lae inniu samhlacha righne atĂĄ in ann luaineacht gharbh (rough volatility) agus airĂonna ordlathacha na gcosĂĄn praghsanna a chur san ĂĄireamh. TrĂ dhinimic an mhargaidh a fheiceĂĄil trĂ lionsa na neurfhoghlama (deep learning) agus cothromĂłidĂ difreĂĄlacha stocastacha (SDEs), is fĂ©idir linn teorainneacha cruinne praghais a rĂomh do dhĂorthaigh chasta i dtimpeallachtaĂ garbha a bhfuil luaineacht ard ag baint leo.
Dâfhorbair mĂ© DeepQuant, leabharlann Python chun praghas a chur ar roghanna MeiriceĂĄnacha (American options) ag baint ĂșsĂĄide as creat oiriĂșnaitheach neurfhoghlama. Baineann an leabharlann leas as an tsamhail rough Bergomi chun iompar margaidh a ghabhĂĄil ĂĄit a bhfuil an luaineacht âgarbhâ (paraimĂ©adar Hurst $H < 0.5$). BreathnaĂonn an creat ar phraghsĂĄil mar fhadhb stad is fearr (optimal stopping problem), ag baint ĂșsĂĄide as path signatures â achoimre ordlathach ar airĂonna geoimĂ©adracha cosĂĄin â chun luachanna leanĂșnacha a mheas. TrĂ SDEanna a chomhcheangal le ResNets, gineann an rĂ©iteoir bearna dhĂ©achta (duality gap), a fheidhmĂonn mar thomhas matamaiticiĂșil dĂreach ar chruas na praghsĂĄla.
đ€ Suimeanna don TodhchaĂ: Neurfhoghlaim GheoimĂ©adrach
Ag dul ar aghaidh, tĂĄ mĂ© dĂrithe ar mo chĂșlra sa gheoimĂ©adracht dhifreĂĄlach (differential geometry) a chomhthĂĄthĂș i gcreataĂ lĂonraĂ nĂ©aracha agus neurfhoghlama. TĂĄ suim ar leith agam uasmhĂ©adĂș geoimĂ©adrach (geometric optimization) a chur i bhfeidhm ar fhadhbanna a bhfuil droch-chonveacsacht ag baint leo, ĂĄit a mbĂonn deacrachtaĂ ag modhanna traidisiĂșnta atĂĄ bunaithe ar ghrĂĄdĂĄin. Is Ă© an sprioc atĂĄ agam nĂĄ oibriĂș ar thionscadail a bhaineann leis an rĂłbaitic (robotics) agus fĂs rĂomhaire (computer vision), ag baint ĂșsĂĄide as manifhillteacha chun Ă©ifeachtĂșlacht agus cobhsaĂocht tascanna foghlama ardtoiseacha a fheabhsĂș.
đźđȘ TeangeolaĂocht: CaomhnĂș Digiteach na Gaeilge
ĂilĂonn caomhnĂș mionteangacha an tiomantas struchtĂșrach agus an comhthĂĄthĂș teicniĂșil cĂ©anna le haon taighde matamaiticiĂșil eile. TĂĄ sĂ© rĂthĂĄbhachtach teangacha dĂșchais a thabhairt isteach sna spĂĄsanna digiteacha ina dtagann an teicneolaĂocht nua-aimseartha agus an cearrbhachas le chĂ©ile chun a chinntiĂș go bhfanann cultĂșr ĂĄbhartha sa todhchaĂ.
Mar chainteoir dĂșchais Gaeilge, tĂĄ mĂ© pĂĄirteach i nGaeilge Chun Cinn, tionscnamh atĂĄ tiomanta dâaipeanna, suĂomhanna grĂ©asĂĄin agus cluichĂ a aistriĂș go Gaeilge. DâĂ©irigh lenĂĄr bhfoireann an t-aistriĂșchĂĄn oifigiĂșil Gaeilge don chluiche mĂłr-rathĂșil Among Us a sheoladh (fĂ©ach ar an alt in The Verge anseo), ag comhordĂș foireann idirnĂĄisiĂșnta oibrithe deonacha chun an Ghaeilge a thabhairt chun cinn i saol an chearrbhachais dhomhanda.
