Oracle's credit spreads came down hence relief for stock, says DCLA's Sarat Sethi

Sarat Sethi, DCLA, joins 'The Exchange' to discuss why Sethi stuck with Oracle's stock, the ecosystem around the AI stocks and much more.
IEEE

An Isolated DC–DC Converter Using a Cross-Coupled Shoot-Through-Free Class-D Oscillator With Low EMI Emissions

Abstract: A low electromagnetic interference (EMI) isolated dc-dc converter with a cross-coupled shoot-through-free Class-D oscillator and a voltage series-combining transformer is presented. The ...
The Straits Times

Post-GEP: High-ability pupils to attend advanced modules outside school, identified using new test

SINGAPORE – From 2027, primary school pupils with high academic potential can attend advanced classes at 15 designated centres across the country, following the recent discontinuation of the Gifted ...
MarketWatch

Oracle Corporation (ORCL) Class Action Lawsuit Filed by Kessler Topaz Meltzer & Check, LLP: Investors Face April 6, 2026 Deadline

-- Who: Oracle Corporation (NYSE: ORCL) -- What: Securities fraud class action lawsuit filed -- Class Period: June 12, 2025, through December 16, 2025 -- Deadline to Seek Lead Plaintiff Status: April ...
Morningstar

Oracle Corporation (ORCL) Investors: April 6, 2026, Deadline in Securities Fraud Class Action Lawsuit Filed by Kessler Topaz Meltzer & Check, LLP

RADNOR, Pa., Feb. 22, 2026 /PRNewswire/ -- The law firm of Kessler Topaz Meltzer & Check, LLP informs investors that the firm has filed a securities fraud class action lawsuit against Oracle ...
Morningstar

ORCL Announcement: Kessler Topaz Meltzer & Check, LLP Announces the Firm Has Filed a Securities Fraud Class Action Lawsuit Against Oracle Corporation

RADNOR, Pa., Feb. 16, 2026 /PRNewswire/ -- The law firm of Kessler Topaz Meltzer & Check, LLP informs investors that the firm has filed a securities fraud class action lawsuit against Oracle ...
IEEE

NICE: Neurogenesis Inspired Contextual Encoding for Replay-free Class Incremental Learning

Abstract: Deep neural networks (DNNs) struggle to learn in dy-namic settings because they mainly rely on static datasets. Continual learning (CL) aims to overcome this limitation by enabling DNNs to ...