Dartmouth Data Breach Exposes 40,000 Social Security Numbers In Cl0p’s Oracle Rampage

Dartmouth breach exposes 40,000+ SSNs in Cl0p’s Oracle zero-day attack. Harvard and Penn also hit. What victims should do now.
The New Arab

Navigating 2025's uncertain economy: Business management software that shields you from policy chaos and AI-era talent gaps

Amazon's decision to cut 14,000 corporate jobs in October 2025, explicitly tied to AI deployment, wasn't just cost ...
Data Center Frontier

Inside Anthropic’s Multi-Cloud AI Factory: How AWS Trainium and Google TPUs Shape Its Next Phase

Anthropic is locking in massive TPU capacity on Google Cloud—up to one million chips over the life of the deal—mirroring its ...

SAP SE (SAP) Presents at Bank of America EU Tech Field Trip Transcript

Bank of America EU Tech Field Trip December 3, 2025 9:00 AM ESTCompany ParticipantsMuhammad Alam - Lead product engineering & Member ...

CLOUDVICE Unveils CORX Agentic Platform for Real-World Autonomy

CLOUDVICE, a leader in next-generation cloud and AI innovation and Oracle partner, today announced CORX, an agentic AI platform engineered to help public and private sector organizations enhance ...

Asure Software: Attractive Scale Growth Despite Net Losses

Asure targets small HCM clients with strong revenue and margin growth, attractive valuation and improving profitability prospects. Learn why ASUR stock is a buy.
IEEE

A Survey on Privacy and Security in Distributed Cloud Computing: Exploring Federated Learning and Beyond

Abstract: The increasing need to process large, high-dimensional datasets and the substantial computational power required have made the use of distributed cloud servers essential. These servers ...
American Association of Individual Investors

Why Oracle Corporation’s (ORCL) Stock Is Down 6.80%

As of Tuesday, November 25, Oracle Corporation’s ORCL share price has dipped by 6.80%, which has investors questioning if this is right time to buy.
IEEE

Rethinking Masked Representation Learning for 3D Point Cloud Understanding

Abstract: Self-supervised point cloud representation learning aims to acquire robust and general feature representations from unlabeled data. Recently, masked point modeling-based methods have shown ...