Key Components of Effective Financial Modeling

Learn how financial modeling projects future performance and supports strategic planning with essential components like ...
PCMag Australia

The Wildest Robot Vacuum at CES Can Clean While Climbing Stairs

It sounds like a concept, but Roborock's legged Saros Rover was fully operational at CES—and it climbed stairs without ...

Voice Modality: The Next Frontier In AI And Workflow

The productivity upside is straightforward. Research, like the Stanford report linked above, has repeatedly shown that ...
ET CIO

Intelligent risk management with AI: The future of credit, compliance, and fraud detection

Explore how AI is transforming risk management in banking, enhancing credit assessments and compliance automation, while ...

ARH Consulting LLC Serves Century City Businesses With High-Level Strategic Advisory Services

ARH Consulting LLC Serves Century City Businesses With High-Level Strategic Advisory Services LOS ANGELES, CA, UNITED STATES, January 2, 2026 /EINPresswire.com/ — ARH Consulting LLC continues to ...
InfoQ

Lessons Learned From Building LinkedIn’s First Agent: Hiring Assistant

Karthik Ramgopal and Daniel Hewlett discuss the evolution of AI at LinkedIn, from simple prompt chains to a sophisticated ...
IEEE

Actor-Critic Model Predictive Control: Differentiable Optimization meets Reinforcement Learning for Agile Flight

Abstract: A key open challenge in agile quadrotor flight is how to combine the flexibility and task-level generality of model-free reinforcement learning (RL) with the structure and online replanning ...
PR Newswire

GeeTest Introduces Advanced Business Rules Engine to Empower Businesses with Intelligent, Automated Decision-Making

WUHAN, China, Dec. 18, 2025 /PRNewswire/ -- GeeTest, a global leader in bot management and online security solutions serving over 360,000 enterprises worldwide, today highlights its powerful Business ...
IEEE

RCM: A Neural Policy Model With Reconstruction Mechanism to Construct a Solution for the Agile Satellite Scheduling Problem

Abstract: The agile Earth observation satellite scheduling problem (AEOSSP) with time-dependent transition time is a combinatorial optimization challenge. Due to its NP-hardness, problem-tailored ...