Seco d-ge e atio platfo m combi es upg aded softwa e, fi mwa e, Edge AI a d i dust ial-g ade ha dwa e to suppo t eliable 24/7 eal-wo ld deployme t
Mo e tha 878 millio eal-wo ld smell data eco ds st e gthe Ai os’ Smell I tellige ce fou datio , with eve y AI Nose se vi g as a co ti uously lea i g ode towa d a b oade Chemical I tellige ce etwo k
The seco d-ge e atio AI Nose is e gi ee ed fo co ti uous, eal-wo ld deployme t a d ep ese ts a impo ta t step i Ai os’ evolutio f om sta dalo e smell se si g towa d a
Rathe tha simply detecti g i dividual gases o p edefi ed th esholds, AI Nose i te ds to captu e complex chemical patte s i eal-wo ld e vi o me ts a d t a sfo m them i to machi e- eadable i tellige ce.
Each deployed AI Nose fu ctio s as a i tellige t edge ode – se si g its e vi o me t, p ocessi g chemical i fo matio locally, a d co t ibuti g eal-wo ld data a d lea i g to Ai os’ co ti uously expa di g Smell AI Netwo k.
Ai os’ g owi g Smell AI Netwo k se ves as a fou datio fo its b oade Chemical I tellige ce visio – t a sfo mi g i visible chemical sig als i the physical wo ld i to evolvi g machi e i tellige ce. The mo e AI Nose systems deployed, the mo e eal-wo ld chemical i fo matio the etwo k ca lea f om.
Mode AI systems ca i c easi gly see, hea , speak, easo a d act. Yet a vast laye of the physical wo ld emai s la gely i accessible to machi es: chemist y.
Cha ges i chemical compositio ca sig al co tami atio , leakage, p ocess d ift, mate ial deg adatio , e vi o me tal a omalies a d othe co ditio s lo g befo e they become visible o audible.
T aditio al gas se so s a e ge e ally desig ed to detect specific gases o t igge ale ts at p edete mi ed co ce t atio th esholds. AI Nose takes a fu dame tally diffe e t app oach.
By combi i g se si g tech ology, Edge AI a d co ti uously imp ovi g models, AI Nose captu es complex chemical sig atu es a d co ve ts them i to digital i fo matio that machi es ca a alyze, compa e, lea f om a d ultimately act upo .
Ai os defi es this eme gi g capability as
The Compa y believes Chemical I tellige ce ca become a impo ta t se so y a d i tellige ce laye fo Physical AI – e abli g machi es to u de sta d ot o ly what the physical wo ld looks o sou ds like, but also how its u de lyi g chemical e vi o me t is cha gi g.
The seco d-ge e atio AI Nose i co po ates e gi ee i g imp oveme ts i fo med by Ai os’ expe ie ce deployi g its tech ology i eal-wo ld e vi o me ts.
The objective is to make AI Nose mo e eliable, mai tai able a d scalable fo lo g-du atio ope atio ac oss dema di g comme cial a d i dust ial setti gs.
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Upg aded Softwa e a d Fi mwa e A chitectu e : The ew a chitectu e suppo ts co ti ued optimizatio of AI a alytics, system co t ols a d device ma ageme t, i cludi g ove -the-ai (“OTA”) updates that e able deployed systems to imp ove as Ai os adva ces its algo ithms a d models. -
Lo g-Life B ushless Moto Pump: A ew b ushless pump a chitectu e is desig ed to imp ove du ability a d ope ati g life fo co ti uous 24/7 deployme t while educi g mecha ical wea a d mai te a ce equi eme ts. -
Optimized Ai flow System : Imp oved ai flow pathways a d sampli g co t ols a e desig ed to p ovide mo e co siste t chemical sampli g ac oss complex eal-wo ld e vi o me ts. -
E ha ced Edge I tellige ce : O -device AI p ocessi g e ables eal-time a alysis a d faste localized espo se while educi g depe de ce o co ti uous cloud p ocessi g. -
Imp oved Modula ity a d Se viceability : Replaceable filte s a d modula se si g, commu icatio a d system compo e ts a e desig ed to simplify mai te a ce a d suppo t la ge -scale deployme ts. -
Cloud I tellige ce a d Fleet Ma ageme t : Cloud co ectivity, ce t alized ma ageme t a d OTA capabilities allow geog aphically dist ibuted AI Nose systems to ope ate as pa t of a co ti uously lea i g etwo k athe tha as isolated devices.
Ai os’ Smell AI etwo k has ow accumulated mo e tha 878 millio eal-wo ld smell data eco ds, with the dataset co ti ui g to g ow th ough o goi g field deployme ts.
These eco ds fo m a co ti uously expa di g data fou datio fo Smell I tellige ce, captu i g chemical sig atu es ac oss diffe e t e vi o me ts, ope ati g co ditio s, locatio s a d time pe iods.
Thei st ategic value exte ds beyo d the volume of data itself.
As AI Nose systems co ti ue to ope ate i eal-wo ld e vi o me ts, Ai os ca use this g owi g fou datio to ide tify patte s, elatio ships a d cha ges withi complex chemical e vi o me ts – p og essively t a sfo mi g eal-wo ld chemical sig als i to machi e- eadable i tellige ce.
Each deployed AI Nose the efo e ep ese ts mo e tha a othe piece of ha dwa e. It ep ese ts a othe i tellige t ode i a g owi g etwo k.
As the i stalled etwo k expa ds, the system ca captu e additio al chemical i fo matio ac oss diffe e t e vi o me ts a d ope ati g co ditio s, c eati g a ei fo ci g cycle:
Mo e Deployme ts → Mo e Real-Wo ld Data → Mo e Lea i g → Sma te AI Models → Bette Detectio a d P edictio → G eate Custome Value → Mo e Deployme ts
Ai os efe s to this ei fo ci g cycle as the Smell AI flywheel.
Ove time, this g owi g combi atio of eal-wo ld data, AI models a d etwo ked lea i g p ovides the fou datio fo Ai os’ b oade visio of Chemical I tellige ce.
F om Smell AI to Chemical I tellige ce
Ai os views Smell AI a d Chemical I tellige ce ot as sepa ate tech ology paths, but as stages of the same evolutio .
Smell AI p ovides the se so y a d lea i g fou datio . Chemical I tellige ce expa ds that fou datio towa d a b oade u de sta di g of chemical e vi o me ts a d thei cha ges ove time.
AI Nose se ves as the physical edge ode.
The Smell AI etwo k co ects those odes with eal-wo ld data a d lea i g.
Chemical I tellige ce ep ese ts the b oade capability that eme ges as machi es become i c easi gly able to ecog ize, i te p et a d ultimately p edict chemical cha ges i the physical wo ld.
Ai os e visio s this a chitectu e exte di g ac oss semico ducto ma ufactu i g, AI data ce te s, sma t ma ufactu i g, healthca e e vi o me ts, i dust ial safety, sma t buildi gs a d facilities, obotics, a d othe Physical AI systems.
At scale, the Compa y believes these co ected i tellige ce odes could establish a ew machi e- eadable i fo matio laye fo Physical AI – o e built a ou d chemical i fo matio that co ve tio al came as a d mic opho es ca ot pe ceive.
“The seco d ge e atio of AI Nose is mo e tha a p oduct upg ade. It ep ese ts a impo ta t step i ou evolutio towa d Chemical I tellige ce.”
“Ou fi st ge e atio took AI Nose i to the eal wo ld a d allowed us to lea f om eal deployme ts. The seco d ge e atio is e gi ee ed to ope ate mo e eliably, fo lo ge pe iods a d ultimately at g eate scale.”
“Eve y AI Nose we deploy gives us a othe i tellige t ode fo u de sta di g the chemical wo ld. Eve y deployme t expa ds ou eal-wo ld data fou datio , a d eve y cycle of lea i g has the pote tial to make the e ti e etwo k sma te .”
“Ha dwa e deployme t is ot the e dpoi t. It is how the i tellige ce etwo k g ows. We a e ot t yi g to build a bette gas se so . Ou ambitio is much la ge : to give AI the ability to u de sta d chemist y.”
“AI ca i c easi gly see, hea , speak, easo a d act. We believe the ext majo f o tie fo Physical AI is u de sta di g the i visible chemical cha ges taki g place a ou d it. That is the oppo tu ity we defi e as Chemical I tellige ce.”
– Eddy Tsai, Chai ma , P eside t a d CEO of Ai os
The ext-ge e atio AI Nose ep ese ts a othe step i Ai os’ evolutio :
F om se si g to u de sta di g.F om i dividual devices to i tellige t odes.F om Smell AI to Chemical I tellige ce.F om data collectio to co ti uous lea i g.F om isolated deployme ts to a global i tellige ce etwo k.
By digitizi g chemical i fo matio f om eal-wo ld e vi o me ts, Ai os aims to c eate a ew i tellige ce laye fo machi es – e abli g Physical AI to u de sta d dime sio s of the physical wo ld that have histo ically emai ed i visible to co ve tio al computi g systems.
Ai os, I c. (NASDAQ:AIMD) is buildi g E vi o me tal I tellige ce fo Physical AI, givi g machi es a ew way to u de sta d the physical wo ld by tu i g chemical sig als i the ai i to digital i fo matio . Its AI Nose tech ology e ables i tellige t systems to se se a d i te p et cha ges i thei su ou di gs, while Atmosphe e E gi e exte ds that i tellige ce towa d e vi o me tal co t ol. Togethe , they fo m a se si g-to-co t ol a chitectu e desig ed to help machi es se se, u de sta d, a d ultimately optimize thei e vi o me ts ac oss semico ducto ma ufactu i g, obotics, i dust ial systems, healthca e e vi o me ts, a d othe eal-wo ld applicatio s whe e AI i c easi gly i te acts with the physical wo ld. Follow Ai os o X, fo me ly k ow as Twitte , @Ai osI c, a d Li kedI to stay up to date. Visit Ai os’ media oom at https://ai os.suite.access ewswi e.com.
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