Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory costs and time-to-first-token by up to 8x for multi-turn AI applications.

This paper proposes a new algorithm that allows us to compute pairwise-correlation sensitivities in a Monte Carlo framework by modifying only one trajectory at ...

The soaring cost and limited supply of computer memory is slowing some projects — and spurring creative approaches.

Nvidia has a structured data enablement strategy. Nvidia provides libaries, software and hardware to index and search data ...

Vikram Sakhuja of Madison Group highlighted data blind spots in today's algorithm-driven marketing. He stressed that while digital ad spend is high, relying solely on platforms like Google and Meta ...

The memory chip shortages probably won't last forever.

In early March 2026, Hewlett Packard Enterprise reported first-quarter 2026 results showing sales of US$8,425 million, lower ...

In the era of A.I. agents, many Silicon Valley programmers are now barely programming. Instead, what they’re doing is deeply, ...

Integrating AI into chip workflows is pushing companies to overhaul their data management strategies, shifting from passive storage to active, structured, and machine-readable systems. As training and ...

Jabez Eliezer Manuel, Senior Principal Engineer at Booking.com, presented “Behind Booking.com's AI Evolution: The Unpolished ...

Ask Maps a real question and get a real answer. Plus, 3D navigation that shows you the exit before you miss it and a Street View arrival preview. The post Google Maps gets conversational AI and 3D ...

For decades, the moving industry has relied on a familiar formula: a handshake, a heavy lift, and a “gut feeling” estimate ...