2/16 Blamey Street, Kelvin Grove, QLD 4059

Position, Position, Position

Fabulously located within the Queensland University of Technology precinct close to a host of coffee shops, restaurants, schools, and high frequency bus services, this two bedrooms, one bathroom and one dedicated parking unit presents an ideal opportunity for a small family or an investor.

The Unit overlooks McCaskie park, providing a lush green backdrop to the living area and bedrooms. The one king sized and one queen sized bedroom are seperated from a modern bathroom.

The living area can accommodate both dining and relaxing and overlooking the lush grean outside. The modern kitchen has a cooktop, a oven, a dishwasher, and plenty of cupboard space, with windows allowing for natural light, cross ventilation and a pleasant outlook.

The block was built in 1967 and has a shared laundry as well as storage area. It has a lawned backyard with clotheslines. This property represents a huge opportunity to get into the market either as an investor or owner occupier. Its position is second-to-none in terms of being close to all the amenities that support a vibrant inner-city life-style with the potential for strong future capital gains.

Dyning

Drawing

Data Science Accelerates Repatriation of Indigenous Ancestral Remains

    

 

A team from Queensland University of Technology has developed a deep learning tool to streamline the repatriation of Indigenous ancestral remains. Funded by the Australian Research Council and in partnership with various institutions and the Research, Reconcile, Renew Network, this tool tackles the challenge of sifting through historical records from 1790 to 1970. The study addresses the limitations of museum catalogues and the difficulty of analyzing non-digital historical documents. By employing an Informed Neural Network trained with pre-specified matter specific keywords and a small amount of labelled data, the researchers created a model that efficiently locates pertinent documents. This advancement has significantly contributed to the global initiative of returning Indigenous human remains, furthering the efforts of the Research, Reconcile, Renew Network’s mission initiated in 2014.

QUT has published a news coverage on this work at the following link. 
Link: https://research.qut.edu.au/qutcds/2024/02/16/machine-learning-indigenous-remains/

The National Indigenous Times has published a news article on this work at the following link.
Link: https://nit.com.au/16-02-2024/9828/data-science-shown-to-expedite-return-of-ancestral-indigenous-remains

Prestigious Conferences for Machine Learning Community

There are many prestigious conferences for the machine learning community, where researchers and practitioners can present their latest findings, exchange ideas, and network with each other. Some of the most well-known and influential conferences are are follows.

 

 

 

 

 

Top Three:

1. International Conference on Machine Learning (ICML): Google Scholar Link
   
   The International Conference on Machine Learning (ICML) is the leading international academic conference in machine learning. Along with NeurIPS and ICLR, it is one of the three primary conferences of high impact in machine learning and artificial intelligence research.^[1] It is supported by the (IMLS). Precise dates vary year to year, but paper submissions are generally due at the end of January, and the conference is generally held the following July. The first ICML was held 1980 in Pittsburgh.^[2][3]
   
   
2. Neural Information Processing Systems (NeurlPS): Google Scholar Link
   
   The Conference and Workshop on Neural Information Processing Systems (abbreviated as NeurIPS and formerly NIPS) is a machine learning and computational neuroscience conference held every December. The conference is currently a double-track meeting (single-track until 2015) that includes invited talks as well as oral and poster presentations of refereed papers, followed by parallel-track workshops that up to 2013 were held at ski resorts.
   
   
3. International Conference on Learning Representations (ICLR): Google Scholar Link
   
   The International Conference on Learning Representations (ICLR) is a machine learning conference typically held in late April or early May each year. The conference includes invited talks as well as oral and poster presentations of refereed papers. Since its inception in 2013, ICLR has employed an open peer review process to referee paper submissions (based on models proposed by Yann LeCun^[1]). In 2019, there were 1591 paper submissions, of which 500 accepted with poster presentations (31%) and 24 with oral presentations (1.5%).^[2]. In 2021, there were 2997 paper submissions, of which 860 were accepted (29%).^[3]. 

নীল পরি

 

নীল পরি, তুমি আমার নীল ধ্রুব তারার মত।
কপালে নীল টিপ,
চোখে নীল আভা,
আর নীল আবরনে তুমি।
তাকিয়ে থাকি যেন নখত্রের দিকে।  
কত কাছে মনে হয়, তবু জানি কত দূরে।

মেরুন রঙ্গে আঁকা উষ্ণ ঠোটে মায়াবী হাসী।
কেমন করে বলি কত ভালবাসি।

Australian School Admission Resources

1. Academic Achievers Program (year 6)

 

2. NAPLAN test papers (e.g. 2012–2016: https://www.acara.edu.au/assessment/naplan/naplan-2012-2016-test-papers)

3. Khan Academy (year 4 to 7 materials): https://www.khanacademy.org/

4. Edu Test: https://www.edutest.com.au/

5. Brisbane City Council Libraries (e.g. Ashgrove Public Library: https://www.brisbane.qld.gov.au/things-to-see-and-do/council-venues-and-precincts/libraries/library-locations/ashgrove-library)