সে দিনের কথা

সে দিনের কথা তোমাকে কখনো হয়নি বলা।

যখন আমার এই বন্ধ কক্ষে নিকষ কালো অন্ধকারে নিজের ছায়াও গিয়েছিল অন্তর্ধানে,

তখন আলোর ঝলকানি হয়ে খুলে দিয়েছিলে আমার জানালার গারদ।

খোলা জানালায় দীর্ঘ শ্বাস নিয়েছি যেন শতাব্দী পর,

জেনেছিলাম দেয়ালের ঐপাড়ে এখনো ডানা মেলে পাখি উড়ে, গান গায়।

সব হারানো বৃদ্ধ ভিখারি বটের ছায়ায় নিশ্চিন্তে ঘুমায়,

ছোট্ট শিশু খিলখিল হেসে বেড়ায় মেঠো পথে।

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 The study addresses the limitations of museum catalogues and the difficulty of analyzing non-digital historical documents.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