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  ITU News Magazine - AI and Machine Learning in 5G - ITU Hub

ITU News Magazine - AI and Machine Learning in 5G - ITU Hub This website will offer limited functionality in this browser. (...) Skip to content About ITU Radiocommunication Standardization Development Menu News Publications Membership عربي 简体中文 English Français Русский Español About | Disclaimer Open site search × ITU User Account News Publications Membership About ITU Radiocommunication Standardization Development Search the site Search Close search form Home Publications ITU News Magazine – AI and Machine Learning in 5G ITU News Magazine – AI and Machine Learning in 5G 5G Artificial intelligence (AI) Digital infrastructure Digital transformation Machine learning Standards Internet of Things (IoT) ITU-T Download Share on Facebook Share on Twitter Share on LinkedIn Share via URL In this issue Welcome to ITU News Magazine – your source for insight on key ITU events and initiatives, as well as global information and communication technology (ICT) trends. Read this issue for: – The ITU AI/Machine Learning in 5G Challenge and the prize-winning event on 15-17 December, 2020. – Challenges and potential solutions from industry and academia. – New ITU standards to enable AI/machine learning integration in future networks.

Score: 1087223.5 - https://www.itu.int/hub/publication/S-GEN-NEWS-2020-5/

  ITU News Magazine - AI and Machine Learning in 5G - ITU Hub

ITU News Magazine - AI and Machine Learning in 5G - ITU Hub This website will offer limited functionality in this browser. (...) Skip to content About ITU Radiocommunication Standardization Development Menu News Publications Membership عربي 简体中文 English Français Русский Español About | Disclaimer Open site search × ITU User Account News Publications Membership About ITU Radiocommunication Standardization Development Search the site Search Close search form Home Publications ITU News Magazine – AI and Machine Learning in 5G ITU News Magazine – AI and Machine Learning in 5G 5G 5G Digital infrastructure Digital transformation Machine learning Standards Standards Standards Standards Standards Standards Internet of Things (IoT) ITU-T ITU-T ITU-T Download Share on Facebook Share on Twitter Share on LinkedIn Share via URL In this issue Welcome to ITU News Magazine – your source for insight on key ITU events and initiatives, as well as global information and communication technology (ICT) trends. Read this issue for: – The ITU AI/Machine Learning in 5G Challenge and the prize-winning event on 15-17 December, 2020. – Challenges and potential solutions from industry and academia. – New ITU standards to enable AI/machine learning integration in future networks.

Score: 1087223.5 - https://www.itu.int/hub/publication/s-gen-news-2020-5/

  Machine learning Archives - Page 3 of 4 - ITU Hub

Machine learning Archives - Page 3 of 4 - ITU Hub This website will offer limited functionality in this browser. (...) Skip to content About ITU Radiocommunication Standardization Development Menu News Publications Membership عربي 简体中文 English Français Русский Español About | Disclaimer Open site search × ITU User Account News Publications Membership About ITU Radiocommunication Standardization Development Search the site Search Close search form Machine learning 37 results News Is ‘provably beneficial’ AI possible? 29 Sep 2020 News Call for video demos at the first virtual ITU Kaleidoscope conference 11 Sep 2020 News Last call to enter the ITU Challenge on AI and Machine Learning in 5G 6 Aug 2020 News How ITU’s Telecommunication Standardization Sector is working towards the Connect 2030 Agenda 17 Jun 2020 News Enter the new ITU Challenge on AI and Machine Learning in 5G 5 May 2020 News ITU launches new Focus Group to study machine learning in 5G systems 4 May 2020 News Here’s how we can get more African women in machine learning and AI 23 Apr 2020 News How AI is helping stop abuse and exploitation of children (VIDEO) 20 Apr 2020 News How 5 technologies are changing global trade 17 Apr 2020 News How urban tech start-ups can have the biggest impact 15 Apr 2020 News 21 January, Geneva: ITU workshop on ‘Artificial Intelligence, Machine Learning and Security’ 6 Apr 2020 News How can we ensure Artificial Intelligence is safe and secure?

Score: 1087223.5 - https://www.itu.int/hub/tag/machine-learning/page/3/

  Microsoft Word - 766gr99

Monoculars 447120 Binoculars 447110 Light microscopes 443500 Bearings Rolling bearings for the transmission units cars 461212, 461213, 461223, 461273, 461523, 461572, 461573, 461912, 461922, 461923, 461953, 461982, 461983, 462213, 462222, 462223, 462243, 464111, 464112, 464351, 464352 Garden implements (instruments) Grafting knives 473771 Secateurs 473771 Rod tree trimmers 473771 Hack saws 473771 Garden knives 473771 Garden rakes 473772 Hoes, weeders, cultivators 473772 Spades 473772, 148920 Garden hand carts 473773 Fire accessories Sucking nets 485484 Hose waterк tanks 485484 Unelectrified appliances for the mechanization of kitchen works Hand-driven household meat grinders 515731 Kitchen implements (pulping machines, crushing, 515739 Crushing machines, cutting machines, coffee grinders, mixers and shakers, forming machines and other) Woodworking products General-purpose plywood with outer layers of 551000 veneer of deciduous and coniferous species Bakelized plywood 551500 Birch plywood, for aircraft 551600 Birch plywood, to be exported 551800 Plywood boards 551800 Bent-and-glued blanks 552190 Products of the textile and light industry Cotton and mixed blankets 831620 Pure-wool and half-woolen blankets 835800 Pure-wool, woolen and half-woolen fabrics, for 835300 clothing 835200 Fabrics of natural thrown silk, for dresses 837110 Silk and half-silk pile linen 837660 Women's knitted outer articles 842000 Men's knitted outer articles 842000 Hosiery manufactured on round-stoking machines 843000 Knitted glove articles 844000 Knitted scarves 845000 Artificial knitted fur for garments 848000 Men's and women's outer clothing of the overcoat 851000, 852000 -and-suit assortment (with the exception of articles of cotton, flax and viscose) Women's outer clothing of the dress-and-blouse 853000 assortment (with the exception of articles of cotton, flax and viscose) Men's shirts (with the exception of articles of 854000 cotton, flax and viscose) Products of the food industry, cattle breeding and plant growing Granulated sugar 911120 Lump sugar 911130 Bakery articles 911300, 911400, 911500, 911600 Cereal, leguminous and oleaginous plants 971121, 971131, 971141, 971151, 971211, 971221, 971231, 971241, 971351, 971361, 971411, 971421, 971431, 971441, 971451, 971511, 971521, 971531, 971541, 971561, 971611, 971621, 971631, 971641, 971651, 971661, 971681, 971691, 971711, 971721, 971731, 971940, 971950, 971960, 971967. 971970 972100-972118 972120-972127 Products of the processing of grain 929023-929042 929051-929070 929300, 929400, 929521, 929533 Concentrate of kvass must (kvass concentrate) 918533 Concentrate and extracts of kvasses 918534 Dry bread kvass 918536 Dry starch (of potatoes or maize) 918711, 918712 Edible table salt (designed for human 919200 consumption and except industrial processing) Fermented tobacco and cigar raw material 919310 Breadcrumbs 919660 Dried chicory 919843 Flavouring spices, condiments and concentrate 919901-919955 additives Live fish 924000, 926000 Frozen sharks 926130 Salted klipfish 926210 Frozen albuminous paste Ocean 926528 Edible agar 928411 Pearl paste, nacreous preparation 928910 Raw cow milk 981100 Medical articles Spectacle lenses for the correction of vision 948100 Spectacle frames for the correction of vision 944260 Feed of vegetable origin Green fodder 975100, 975200 Food tubers 974100, 974200 Silo, haylage, hay meal, grass meal, 975300, 974300, artificially dried wood meal 974400, 974500, 974900 Silo of green plants wood green 976900 Procedure for the Adoption of the Conformance Declaration and Its Registration (Approved by the Decision of the Government of the Russian Federation No. 766 of July 7, 1999) 1. (...) The conformance declaration shall be filled in on a form according to the Annex and signed by the head of the manufacturing organization (seller, performer) or by an individual businessman. 8. (...) The certification body must within seven days check: a) the presence of the given type of products in the List of Products Whose Conformance May Be Confirmed by the Conformance Declaration; b) the competence of the manufacturer (seller, performer) to adopt the conformance declaration; c) the completeness and correctness of the indication of the normative documents stipulated for the confirmation of the conformance of the given products; d) the presence of copies of all the documents stipulated for the given products by the federal laws and issued by bodies and organizations authorized thereto; e) the correctness of the filling-in of the conformance declaration. 11. By the results of the check the certification body shall register the conformance declaration or inform the manufacturer (seller, performer) that it is necessary to eliminate certain revealed inconformities to the established requirements. 12.

Score: 1084431.7 - https://www.wto.org/english/th.../rus_e/WTACCRUS33A1_LEG_51.pdf

  How we can humanize AI to empower employees - ITU Hub

This is made possible by intelligent human-machine collaboration. “Developments such as customisable virtual assistants, or intelligent bots, represent one of the most concrete examples of human-machine collaboration and allow us to glimpse into the future of work.” (...) What all these use-cases have in common is that machines (AI-powered bots) are working with humans so they can be more productive. (...) Business leaders that have been most successful in adopting AI in the workplace tend to start with quick-win solutions such as Q&A chatbots or help-desk bots to drive human-machine collaboration. READ MORE: AI and jobs: 4 key steps governments can take to limit job displacement This will set the scene for applicable learning and on to a true transformation to powerful human-machine collaboration where AI is better understood as a benefit for employees and customers alike – where AI is a force for good.

Score: 1084431.7 - https://www.itu.int/hub/2020/0...anize-ai-to-empower-employees/

  Microsoft Word - Technical Specifications_MEX_279 Kit1_360 Kit2_RAC_20220513 (002)2 revised.doc

Scope of Supply 4.1 KIT 1 – For Training Centers and large/medium service workshops i) Flushing Machine CPS Model AFM100 or Equivalent with 2 gallons of flushing agent – 279 kits (1 machine/kit)  Powered by air compressed  Power Source: 50 PSIG minimum air pressure  Operating Range: 00C to 49 0C  Air Pressure Gauge: 0 to 100 PSIG  Manual Control Valves: 2 way ball type valve to control air supply to the unit; 3 way ball type valve to control air purge/Flush circulation; 4 way ball valve to control forward and reverse control  Filtration: 100 mesh cleanable screen  Heavy duty power coated sheet metal cabinet with wheels  Adaptors: One set of universal clamps with 3/8" SAE Male Fittings  High Pressure relief valve 125 PSIG  Easy one step hooks up air hose and flush hoses  Forward/reverse flush valve to eliminate reconnection of hoses  Filter with clear removable bowl for flow and filtration verification  Large mouth flush fill tube  Storage area for 2 one gallon’s flush containers  Including 2 gallons of flushing agent for the flushing machine  The flushing agent with the next specifications: o GWP low or equal 0 o Compatible with almost all refrigerant lubricants o Fast evaporating, bio-degradable and non-corrosive o Formulated to remove all common system contaminants including refrigerant oils, internal component particles and remnants of leak sealants known to cause damage to systems and service equipment alike. o The cleaning agent should be suitable for proper operation with the cleaning machine  Instruction manual in Spanish. ii) Air compressor with hoses and connections for use with the Flushing Machine CPS Model AFM or Equivalent – 279 kits (1 set/kit)  Portable electric air compressor with: o horizontal tank of 2 gallons; o 0.33 H.P.; o Power supply: 120 V / 60 Hz; o Full load amperage 2.6 A; o Automatic shut-off at a pressure of 90PSI o Maximum pressure: 100 PSI  Including hoses and fittings to connect to the Flushing machine Model AFM 100 or equivalent.  Wire wound air hose; color yellow; inner diameter 1/4"; length 12 feet; size 1/4" NPT; maximum pressure 185 PSI  Industrial standard coupler, hose connection (F) NPT, 1/4" NPT size connection; body size 1/4"  Industrial interchange coupler plug; hose connection (F) NPT, 1/4" NPT size connection; body size 1/4"  Instruction manual in Spanish. 3 iii) Flushing Kit for air-conditioners CPS model TLFGRA or Equivalent – 279 kits (1 set/kit)  Refillable Flush cylinder with minimum capacity of 600 ml with shut-off valve  18” A/C Hose  Universal adapter and fittings to connect the air compressor and hose of nitrogen tank  One (1) gallon of flushing agent with the following specifications: o GWP low or equal to zero (0) o Compatible with almost all refrigerant lubricants o Fast evaporating, bio-degradable and non-corrosive o Formulated to remove all common system contaminants including refrigerant oils, internal component particles and remnants of leak sealants known to cause damage to systems and service equipment alike.  Instruction manual in Spanish. iv) Portable Nitrogen blowing equipment – 279 kits (1 set/kit)  With Nitrogen regulator  Pressure scales: output of at least 0-4 bar and input of at least 0-200 bar  Input connections: CGA-580  Output connections: 9/16"-18 UNF right  Hose: 1/4" SAE and length of at least 3 meters  Including cylinder carrying trolley  Nitrogen cylinder with capacity of 13.4 liters and valve CGA-580.  Gauges: 50-60mm diameter;  Instruction manual in Spanish. v) Universal Connection Kit for air-conditioners Systems Flushing – 279 kits (1 set/kit)  Including, in a resistant case, all necessary parts required to connect any flushing machine to the most common A/C system ports vi) Multi-Function Digital Manifold –Mastercool Model 99661-EU or Equivalent 279 kits (1 set/kit)  Digital display of: pressure, vacuum, temperature, superheat and subcooling.  Includes, in a transport case: manifold with a set of 3 X 150 cm hoses (yellow, blue and red), vacuum sensor with cable, clamp on thermocouple and 2 ball valve 5/16" SAE hose adaptors for R-410A.  Includes 64 refrigerants  Selectable Pressure: PSI, inHg; Bar, Mpa, Kg/cm2. (...) Pressure: 1000 psi (70 Bar);  Selectable Temperature:˚C/˚F.  Temperature: -40˚C/ 93˚C; Connections 1/4" M SAE;  9V battery and AC/DC adapter.  Automatic Shut- off  Instruction manual in Spanish vii) Vacuum Pump with Electrovalve and Vacuum Gauge – 279 kits (1 set/kit)  Power supply: 120 V / 60 Hz  Flow rate: 84 liters per minute (LPM)  Vacuum: 15 mic / 0.02 mbar with two stages 4  Inlet port: 1/4" SAE  Sizes: 318 X 124 X 234 mm  Power: 1/3 HP  Weight: 8.5 kg  Equipped for R-410A, with electrovalve and vacuum gauge  Includes one liter of oil for the vacuum pump  Instruction manual in Spanish viii) Refrigerant Recovery Machine – 279 kits (1 kit/set)  Power supply: 120 V / 60 Hz  Motor size: 1 HP  Compressor Type: 2 cylinder Oil-less reciprocating compressor  Power consumption: 1000 W  High pressure Shut-Off: 550 psig, Auto reset  Operating Temperature range: 32˚F to 120˚F (0˚C to 49˚C)  Power Cord Length: 6 Ft  Dimensions: 6" X 12" X 9" ( 15 cm X 30 cm X 23 cm)  Weight: 24.3 lbs. (11 Kg)  Flow Rate For R-410A: 0.32 Kg/min Direct Vapor  5.41 Kg/min Direct Liquid and 14.3 Kg/min Push Pull Liquid  For refrigerants: R-22, R-401 A/B, R-402B; R-407 C/D/E/F, R-408A, R- 409A, R-411 A/B, R-412A, R-502, R-509A; R-12, R-134a, R-401C, R- 500, R-1234yf/ze; R-32, R-402A, R-404A, R-407A/B, R-410A/B, R-507A  Instruction manual in Spanish ix) Charge Scale with Carrying Case – 279 kits (1 set/kit)  Working load capacity: 220 lbs. (100 kg)  Operating Temperature: 14˚F to +122˚F/ -10˚C to + 50˚C  Accuracy: 0.05% of reading or +/- 0.2 oz (+/- 5g) whichever is greater  Resolution: +/- 0.25 oz (+/- 10 gr);  Overload Protection: Visual, electronic and mechanical  Platform Dimensions: 8 3/4" X 8 3/4" (22.23 cm X 22.23 cm)  Weight: 5.6 lb. (2.55 Kg)  Power: Two 9 V batteries, included; Battery Life: at least 60 hours of continuous use  Battery Indicator  Display: Imperial/metric; High contrast wide angle LCD Display for easy viewing  Removable Platform from carrying case.  Automatic power off to conserve batteries.  Instruction manual in Spanish x) Charging Hoses for R-410A – 279 kits (1 set/kit)  Set of 3 hoses; red and blue hoses with ball valve and connections 1/4" SAE X 5/16 for R-410A; yellow hose 1/4" X 1/4" with ball valve.  Length of each hose: at least 1500 mm xi) Recovery Cylinders – 558 Cylinders (2 Cylinders/kit)  11.9 Kg capacity refillable cylinders for recovery of common refrigerants R-22, R-134a, R-410A, with Y valve for liquid/vapor  Connection 1/4 flare in compliance with DOT or a similar standard, with Over-Fill Protection. xii) Clamp on Meters Mod. (...) Step Estimated time range Supplier indication Shipping June-Oct 2022 Please indicate earliest possible delivery date Importation (customs are done by the UN system in Mexico) 1-15 Nov 2022 Local distribution to 9 schools 15-31 Dec 2022 Suppliers should describe the shipping route selected in light of the global CoVID-19 pandemic, and logistical details. 11 ANNEX I Scope of Supply Scope of supply TO BE COMPLETED BY THE BIDDER separately in Appendix 3 and 4 of tender documents UNIDO REQUIREMENTS Item Name and required parameters Quantity Complia nce Remark s**) yes/no I Equipment, parts, supplies I.1 Kit_1 1 Flushing Machine CPS Model AFM100 or Equivalent with 2 gallons of flushing agent 279 2 Air Compressor with hose an connections 279 3 Flushing Kit For A/C 279 4 Nitrogen Blowing Equipment with trolley for the cylinder 279 5 Universal connection Kit for A/A systems flushing 279 6 Multi function digital manifold 279 7 Vacuum pump with electrovalve and vacuum gauge 279 8 Refrigerant recovery machine 279 9 Charge Scale with carrying case 279 10 Charging hoses for R-410A 279 11 Recovery Cylinders 558 12 Clamp on meters 279 13 Pinch off piercing pliers 1/4" SAE connection 1116 14 Mechanical manifold gauge with hoses set 279 15 Leak detector 279 16 Tube cutter 279 Total Kit_1 5580 I.2 Kit_2 1 Flushing Kit For A/C 360 2 Nitrogen Blowing Equipment with trolley for the cylinder 360 3 Universal connection Kit for A/A systems flushing 360 4 Multi function digital manifold 360 5 Vacuum pump with electrovalve and vacuum gauge 360 6 Refrigerant recovery machine 360 7 Charge Scale with carrying case 360 8 Charging hoses for R-410A 360 9 Recovery Cylinders 720 10 Clamp on meters 360 11 Pinch off piercing pliers 1/4" SAE connection 1440 12 Mechanical manifold gauge with hoses set 360 13 Leak detector 360 14 Tube cutter 360 12 Total Kit_2 6,480 Sub-total: 12,060 II Molecular Transformator, please indicate if available 54 III Warranty (Standard manufacturer's warranty minimum 12 months from the date of acceptance) IV Spare parts and consumables (for one year of operation for all listed items, from the date of acceptance by the Beneficiary) V Transportation (DAP Mexico to each of the schools) including insurance, packing and unloading Total price: 13

Score: 1083449.6 - https://www.unido.org/sites/de...tions%20dated%20May%202022.pdf

  Last call to enter the ITU Challenge on AI and Machine Learning in 5G - ITU Hub

Last call to enter the ITU Challenge on AI and Machine Learning in 5G - ITU Hub This website will offer limited functionality in this browser. (...) A Network Track challenges entrants to build and train AI and Machine Learning models capable of supporting 5G networking functions. 2. An Enablers Track calls for innovations enabling networks to take full advantage of AI and Machine Learning models and their outputs. 3. A Verticals Tracks asks how 5G-enabled applications in vertical markets such as automotive and healthcare could benefit from AI and Machine Learning capabilities. 4.

Score: 1078058.4 - https://www.itu.int/hub/2020/0...ai-and-machine-learning-in-5g/

  Page 16 - ITU KALEIDOSCOPE, ATLANTA 2019

The access to PANACEA is made possible by the Human-Machine Interface (HMI), which provides an easy and intuitive Data Visualization Interface (DVI) enabling the visualization of relevant information of each patient and provides alert message management to notify both caregivers and patients when an infection occurs. (...) PANACEA not only facilitates interactions with humans, but it also enables advanced automated drug delivery systems that rely on supervised machine learning. The learning block is fed with both data collected by the physical system and supervised input data generated by caregivers. (...) Despite the prior work in the field on the channel characterization, estimation, and capacity calculations of these aforementioned techniques, a unifying information-theoretic framework that captures the peculiarities of an MC channel over classical communication systems for all the various MC techniques, is currently missing. We aim at filling the aforementioned research gap by providing a mathematical framework rooted in chemical kinetics and statistical mechanics to define the main functional blocks of MC, to abstract any MC system and determine or estimate the information capacity of their communication channels.

Score: 1077787.8 - https://www.itu.int/en/publica...e/files/basic-html/page16.html

  Kaleidoscope 2018 - Machine learning for a 5G future - ITU Hub

Kaleidoscope 2018 - Machine learning for a 5G future - ITU Hub This website will offer limited functionality in this browser. (...) Skip to content About ITU Radiocommunication Standardization Development Menu News Publications Membership عربي 简体中文 English Français Русский Español About | Disclaimer Open site search × ITU User Account News Publications Membership About ITU Radiocommunication Standardization Development Search the site Search Close search form Home Publications Kaleidoscope 2018 – Machine learning for a 5G future Kaleidoscope 2018 – Machine learning for a 5G future 5G Machine learning Network management Download Share on Facebook Share on Twitter Share on LinkedIn Share via URL In this issue In November 2018, ITU held its 10th annual academic conference titled “Machine Learning for a 5G Future.” Out of that conference emerged a dialogue between academics and standardization experts in machine learning in the communications networking industry.

Score: 1076906.1 - https://www.itu.int/hub/publication/t-proc-kalei-2018/

  Final draft of D.WG3-01 - Guidelines on the Implementation of Eco-friendly Criteria for AI and Other

A lifecycle study found that in contrast to a high production scenario, printing just one part a week and leaving the machine on the rest of the time, had roughly ten times the impact per part compared to using the same machine at maximum utilization. (...) Energy impacts depend on the machine design. The following factors can have an influence on 3D printing energy impacts in an industrial environment: · Build volume: This will determine the number of parts that can be printed simultaneously on a specific printer. (...) Recent studies have found that 3D printed metal parts can be up to 50% lighter than machined parts and result in carbon savings in the aeronautical parts-use stage equaling ‘three to four orders of magnitude more’ than the amount of CO2 emitted to make them.

Score: 1075528.8 - https://www.itu.int/en/ITU-T/f...Att1_FG-AI4EE-TR-D.WG3-01.docx