Aaron Erickson at QCon AI NYC 2025 emphasized treating agentic AI as an engineering challenge, focusing on reliability ...

Worse, the most recent CERN implementation of the FPGA-Based Level-1 Trigger planned for the 2026-2036 decade is a 650 kW system containing an incredibly high number of transistor, 20 trillion in all, ...

Bairong Inc. (the "Company", "we" , "us" or "our" ; HKEX: 6608), a leading cloud-based AI turnkey service provider, today unveiled its enterprise AI Agent strategy where it introduced its Results as a ...

AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.

A recent study by MIT’s Project NANDA highlighted a sobering statistic: Roughly 95% of AI projects fail to deliver ...

Appinventiv's real-time AI engine examines video, audio, and visual signals to identify subtle anomalies--such as irregular movements, digital distortions, or unnatural voice patterns--that commonly ...

Distributed ledger technology supports faster processing, enhanced auditability, and improved data integrity for alternative investment participants.

To prevent jitter between frames, Kuta explains that D-ID uses cross-frame attention and motion-latent smoothing, techniques that maintain expression continuity across time. Developers can even ...

GPUs, born to push pixels, evolved into the engine of the deep learning revolution and now sit at the center of the AI ...

How an AI-first approach, co-engineered with AWS, is helping airlines move from reactive operations to proactive, predictive ...

Data engineering is the process that makes it usable. It involves moving, cleaning, and organizing. This creates the foundation for BI and analytics. The goal is to replace guesswork with facts. That ...