Urgent.News

What's breaking now, across thousands of outlets.

AI

Mathematics key to AI’s advancement, says expert

Advanced artificial intelligence (AI) systems rely heavily on mathematical principles, according to Reheena Nasrin of Bangladesh University of Engineering and Technology (BUET). During the valedictory session of the "Computation Science and Intelligent Engineering" conference, Nasrin stressed that a robust mathematical foundation would continue to be vital for the progress of digital intelligence.

The conference, organized by the Department of Mathematics at Siddhartha Academy of Higher Education, featured lectures by esteemed experts. Dr. G. Sobhalatha of Sri Krishnadevaraya University discussed 'Lexicographic Product Graph,' while Bukke Kiran Naik from the National Institute of Technology (NIT) Rourkela presented on 'Intelligent Thermodynamics,' focusing on data-driven systems optimization and energy-water nexus solutions.

Over 200 research papers were presented by academics and researchers from various Indian universities, underscoring the event's impact on academic research and knowledge sharing. Certificates of appreciation were awarded to the presenters by the conference organizers. The event was attended by notable figures including Vice-Chancellor P. Venkateswara Rao, Pro-Vice-Chancellor A.V.

Ratna Prasad, Dean D. Venkata Rao, and Registrar M. Ravichand. Participants included the Head of the Mathematics Department, senior faculty members, and students from the institution.

Written by urgent.news from The Hindu's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Read the original at thehindu.com →

More in AI

SoundHound AI: 3 Key Takeaways for Long-Term Investors

Its shift from one-time license fees to recurring hosted subscriptions makes future revenue easier to forecast, a change worth weighing before the margin story.

  • SoundHound AI expects sustainable profitability in H2 2027
  • Company streamlines costs through recent acquisitions and duplicate function elimination
  • AI model migration reduces costs and provides competitive advantages

Choosing a Tech ETF: Low Fees vs. Targeted Exposure

FTEC's lower 0.08% expense ratio and broader 294-holding portfolio delivered stronger 12-month performance, while IYW offers a more concentrated bet on semiconductors, software, and hardware.

  • FTEC has 0.08% expense ratio vs. IYW's 0.37%, offering cost savings
  • FTEC yields 0.30 percentage points higher dividend than IYW
  • FTEC holds 300 stocks, IYW holds 148, both heavily investing in Apple, Nvidia, Microsoft

More from Saturday 7 November →