Baidu Approves $5 Billion Share Buyback and Plans First-Ever Dividend in 2026 
Japanese Pharmaceutical Stocks Slide as TrumpRx.gov Launch Sparks Market Concerns 
SpaceX Starship Explodes in Texas During Test, Citing Nitrogen Tank Failure 
Australia’s December Trade Surplus Expands but Falls Short of Expectations 
Astronomers have discovered another puzzling interstellar object − this third one is big, bright and fast 
Nasdaq Proposes Fast-Track Rule to Accelerate Index Inclusion for Major New Listings 
RBI Holds Repo Rate at 5.25% as India’s Growth Outlook Strengthens After U.S. Trade Deal 
SpaceX Prioritizes Moon Mission Before Mars as Starship Development Accelerates 
OpenAI Expands Enterprise AI Strategy With Major Hiring Push Ahead of New Business Offering 
Vietnam’s Trade Surplus With US Jumps as Exports Surge and China Imports Hit Record 
Trump Lifts 25% Tariff on Indian Goods in Strategic U.S.–India Trade and Energy Deal 
U.S. Stock Futures Edge Higher as Tech Rout Deepens on AI Concerns and Earnings 
Uber Ordered to Pay $8.5 Million in Bellwether Sexual Assault Lawsuit 
FDA Pilot Program Eases Rules for Nicotine Pouch Makers 
NASA and SpaceX Target Crew-11 Undocking From ISS Amid Medical Concern 
SpaceX Pushes for Early Stock Index Inclusion Ahead of Potential Record-Breaking IPO 
South Korean scientists have developed an artificial intelligence (AI)-based peptide detection model that can predict the antibiotic functionality of peptides antibiotic for hay bacillus, colon bacillus, staphylococcus aureus, and staph.
The research team from the National Institute of Biological Resources and Dongguk University applied the AI model that learned antibiotic peptide data for the transcriptome of the wolf spider’s venom gland and succeeded in exploring two types of new antibiotic peptides.
The spider venom’s peptide has the property of destroying cells and paralyzing nerves, and can thereby be used as a functional material in various areas, including medicines, food, and cosmetics.
