In this system report, we describe the models and methods we used for our participation in the PLABA2023 task on biomedical abstract simplification, part of the TAC 2023 tracks. The system outputs we submitted come from the following three categories: 1) domain fine-tuned T5-like models including Biomedical-T5 and Lay-SciFive; 2) fine-tuned BARTLarge model with controllable attributes (via tokens) BART-w-CTs; 3) ChatGPTprompting. We also present the work we carried out for this task on BioGPT finetuning. In the official automatic evaluation using SARI scores, BeeManc ranks 2nd among all teams and our model LaySciFive ranks 3rd among all 13 evaluated systems. In the official human evaluation, our model BART-w-CTs ranks 2nd on Sentence-Simplicity (score 92.84), 3rd on Term-Simplicity (score 82.33) among all 7 evaluated systems; It also produced a high score 91.57 on Fluency in comparison to the highest score 93.53. In the second round of submissions, our team using ChatGPT-prompting ranks the 2nd in several categories including simplified term accuracy score 92.26 and completeness score 96.58, and a very similar score on faithfulness score 95.3 to re-evaluated PLABA-base-1 (95.73) via human evaluations. Our codes, fine-tuned models, prompts, and data splits from the system development stage will be available at https://github.com/ HECTA-UoM/PLABA-MU

In 2017, Omar Sultan Al Olama, the world's first minister for artificial intelligence (AI), published his strategy to make the UAE a global leader in AI by 2031. The plan was approved by the UAE Cabinet in 2019. Now, two years after ratification, the government has already taken significant steps. Whether or not the UAE becomes a world leader in AI by 2031, it certainly stands a good chance of taking the lead in its region. PwC estimates that while the Middle East will only capture 2% of the global benefits of AI by 2030, the UAE will enjoy the most growth, with AI accounting for 13.6% of GDP by 2030.

Tech giant Google has partnered with NITI Aayog to provide an artificial intelligence (AI)-based skill training opportunity to Indian startups as well as to budding entrepreneurs. The two parties have signed a statement of intent (SoI) to train and incubate Indian startups specialising in AI-based technology. The beneficiaries of the programme will include startups and students (graduates and engineers) across universities and colleges. The training will be imparted through online and developer-run courses in the form of study groups, NITI Aayog said in a media statement. NITI Aayog CEO Amitabh Kant said, "NITI's partnership with Google will unlock massive training initiatives, support startups, and encourage AI research through PhD scholarships, all of which contributes to the larger idea of a technologically empowered New India."

The government will soon offer incentives to startups and venture funds that undertake application-oriented research on artificial intelligence across key sectors including banking, insurance, education, health, retail, and transportation. Financial allocation under the Atal Innovation Mission will be used to fund the programme on a nationwide scale and projects will be granted on the challenge mode, a senior government official told ET. The government is already providing support of up to Rs 10 crore to already established and upcoming new incubation centres depending on the set criteria laid under the Atal Innovation Mission, for which an allocation of Rs 500 crore was made in 2015-16. The original allocation under AIM for 2017-18 stood at Rs 112 crore, which has been revised to Rs 150 crore while Rs 200 crore has been allocated for 2018-19. "It has just been announced. Niti (Aayog) has been working on the subject for a while and will be coming out with a roadmap shortly," the official said requesting anonymity.

Startup industry doesn't have much to take away from Budget 2018 barring two major announcements. Firstly, Finance minister, Arun Jailtey said that the government would invest in research and development in areas such as robotics, machine learning, and artificial intelligence. To that end, Amitabh Kant-led Niti Aayog will establish a National Programme to direct efforts in the area of Artificial Intelligence towards national development. "Technologies such as machine learning, artificial intelligence and others are the technologies of the future and NITI Aayog will establish a national programme to conduct research and development in these areas," Jaitley said in his budget speech. Appreciating the move, Keshab Panda, CEO & MD, L&T Technology Services said, "We welcome the government's thrust on encouraging R&D pursuits in the areas of AI, machine learning, robotics and edge analytics. This move will further leapfrog the innovations in this space that is significantly driven by Indian companies and will place the country at the centre of global digital transformation focus."

New Delhi:The government will soon offer incentives to startups and venture funds that undertake application-oriented research on artificial intelligence across key sectors including banking, insurance, education, health, retail and transportation. Financial allocation under the Atal Innovation Mission will be used to fund the programme on a nationwide scale and projects will be granted on the challenge mode, a senior government official told ET. The government is already providing support of up to Rs 10 crore to already established and upcoming new incubation centres depending on the set criteria laid under the Atal Innovation Mission, for which an allocation of 500 crore was made in 2015-16. The original allocation under AIM for 2017-18 stood at Rs 112 crore, which has been revised to Rs 150 crore while Rs 200 crore has been allocated for 2018-19. "It has just been announced. Niti (Aayog) has been working on the subject for a while and will be coming out with a roadmap shortly," the official said requesting anonymity.