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June 2019 |
What is Image Captioning?
Image Captioning is a software application package for converting an image such as a photo into a text caption for describing the main theme of the image. For example, if an image shows a dog leaping to catch a ball, then the ideal caption would be exactly ‘a dog leaping to catch a ball’. In other words, this software application behaves like human by reading the digital version of an image and writing a line of text on screen or in a diary. This capability suggests that computers can be trained to perform like human.
The application is in the domain of machine learning because the conversion is based on computers learning from examples (images with captions) given to it during a long period of training. Compared to human, computers are not as efficient in this learning process. For example, a 2 years old child can identify a taxi or a bus by seeing the object once on parents’ or another child’s guidance and the child will tell the difference between a car and a tree. A computer will need to be trained with many tens of thousands or even millions of images with human captions to learn object classification. The good point about computers is that they do not forget and can work 24 hours a day and 365 days a year without complaints to classify objects once trained. Computers have already surpassed human capabilities in 2015 to classify objects in images with one object.
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June 2019 |
What is Image Captioning?
Image Captioning is a software application package for converting an image such as a photo into a text caption for describing the main theme of the image. For example, if an image shows a dog leaping to catch a ball, then the ideal caption would be exactly ‘a dog leaping to catch a ball’. In other words, this software application behaves like human by reading the digital version of an image and writing a line of text on screen or in a diary. This capability suggests that computers can be trained to perform like human.
The application is in the domain of machine learning because the conversion is based on computers learning from examples (images with captions) given to it during a long period of training. Compared to human, computers are not as efficient in this learning process. For example, a 2 years old child can identify a taxi or a bus by seeing the object once on parents’ or another child’s guidance and the child will tell the difference between a car and a tree. A computer will need to be trained with many tens of thousands or even millions of images with human captions to learn object classification. The good point about computers is that they do not forget and can work 24 hours a day and 365 days a year without complaints to classify objects once trained. Computers have already surpassed human capabilities in 2015 to classify objects in images with one object.
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June 2019 |
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Mid-Year Mini (MYM) Computing for SKA (C4SKA) Colloquium
The Local Organising Committee warmly invites you to attend the 5th annual MYM Colloquium hosted by the SKA NZ Alliance. Registration is free of charge, but pre-registration is strictly necessary for seating and catering purposes.
Dates: Wednesday 2019-07-10
Time: Reception at 1:00pm and Event closes at 5:00pm with a tea/coffee break in between
Presentations: see next page
Venue: Sir Paul Reeves Building WG404, AUT City Campus (View map: AUT-campus-map-city.pdf)
This event focuses on the science and computing challenges presented by the Square Kilometre Array (SKA), globally one of the 21st century’s biggest and most ambitious astronomy projects. The project has recently completed the Pre-Construction Design Phase and is currently in the transition towards Construction. The NZA team participates in 2 work areas, namely the Central Signal Processors (CSP) and Science Data Processors (SDP). CSP solutions will be based on Field Programmable Gate Array (FPGA) technologies and SDP solutions will be based on Commercial Off-the-Shelf PC technologies. NZ is involved in both hardware and software, and co-design. Open standards and open source are emphasised.
This event is designed to engage the public to understand the NZA team's involvement in the project and to see the benefits for future scientific discoveries. Presentations will be given at an overview level without involving too many technical term abbreviations. Constructive discussions would be most welcome.
- Sergei Gulyaev, AUT IRASR Director, Professor
An overview of modern radio astronomy
1:20pm – 1:50pm
- Andrew Ensor, AUT HPC & NZA Director, Associate Professor
Bridging Science Data Processing design activities towards SKA Construction (NZAPP)
1:50pm – 2:20pm
- Will Kamp, AUT HPC, Senior Researcher
Bridging Central Signal Processing design activities towards SKA construction (CIPA)
2:20pm- 2:50pm
- Willem van Straten, AUT IRASR Associate Professor
An update on pulsar-related science at MeerKAT
3:20pm – 3:40pm
- Haomiao Wang and Krys Sherwin, University of Auckland PhD students
Testing and evaluating implementations of the Pulsar Search pipeline
3:40pm – 4:00pm
- Piers Harding, Catalyst Cloud, Senior Consultant
How would Cloud Native help collaborations in SKA?
4:00pm – 4:20pm
- Alec Henderson, University of Auckland, PhD student
Finding exoplanets with gravitational microlensing and machine learning
4:20pm – 4:40pm
- Q&A
4:40pm – 5:00pm
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May 2019 |
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The end of extended support from Microsoft for their Windows 7 operating system will be on 14 January 2020. After this date there will be no patches or security updates.
Large organisations wishing to continue using Windows 7 can consider purchasing Extended Security Updates for Windows 7 to protect their existing desktops after that date. However Microsoft do not offer a SKU for this offering; it is an offering available to End Users on these Microsoft agreements only: EA, CSP, MPSA.
| EA |
Enterprise Agreement for commercial organizations with an enrollment of 500 or more users/devices; commitment-based. |
| CSP |
Cloud Agreement for cloud services |
| MPSA |
Product and Services Agreement for commercial organizations with 250 or more users/devices; transaction-based. |
Overview
- Free maintenance for Windows 7 ends on 14 January 2020
- Extended Security Updates (ESU) is a VL offer, and replaces Custom Support Agreements (CSAs) via Premier Services
- Devices do not need to be covered by Software Assurance (SA) or E3 to purchase a Windows 7 ESU*
- Available for devices running Windows 7 Professional or Enterprise editions
Offer Details
- Available in EA/EAS, MPSA and CSP. May be available in Open/OVS pending operational execution review.
- Customers with Windows Enterprise/Education will have an add-on option at half price.
- ESU includes security updates for critical and important issues as defined by MSRC.
- No volume waterfalls are available. The price is flat no matter how many devices a customer purchases.
- Extended Security Updates (ESU) will be available for purchase starting 1 April 2019
General FAQ
What do Extended Security Updates include?
Extended Security Updates (ESU) include security updates for critical and important issues as defined by the Microsoft Security Response Center for a maximum of three years after January 14, 2020. After January 14, 2020, if a PC is running Windows 7 within an organization that has not purchased ESU, it will no longer receive security updates.
What editions of Windows 7 are eligible for Extended Security Updates?
Extended Security Updates are available for Windows 7 Professional, Windows 7 Enterprise, and Windows 7 Ultimate.
When will the Extended Security Updates offer be available?
General availability will be announced March 2019.
Will the Windows 7 Extended Security Updates include patches for .NET? If so, which version?
Yes, patches will include support for the .NET 4.x release (as of January 2020) and .NET 3.5 SP1.
How will Microsoft deliver Extended Security Updates?
Upon purchasing Windows 7 ESU, the organization will be provided with a multiple activation key (MAK), which can be used to deploy to the covered devices. This MAK key is independent of the Windows 7 activation and can work in parallel with a Key Management Service (KMS) activation deployment. Additional technical details will be provided in a TechNet article published at a later date.
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