Google unveils TurboQuant, a new AI memory compression algorithm — and yes, the internet is calling it ‘Pied Piper’

Google’s TurboQuant has the internet joking about Pied Piper from HBO's "Silicon Valley." The compression algorithm promises ...

Google’s TurboQuant AI-compression algorithm can reduce LLM memory usage by 6x

Google Research recently revealed TurboQuant, a compression algorithm that reduces the memory footprint of large language ...
TMCnet

Marketeam.ai Unveils RL-KPI at NVIDIA GTC: Breakthrough AI Training Method Extends Deterministic Reward Learning to Non-Deterministic Business Outcomes

On stage, at NVIDIA GTC 2026, Marketeam.ai unveiled RL-KPI (Reinforcement Learning with Key Performance Indicators), a ...
The Laconia Daily Sun

Deterministic AI: What it is and when to use it

We haven't exactly worked out all of AI's kinks yet. Just try asking ChatGPT to solve a basic math problem or tell you how many R's are in "strawberry." You'll get a different, probably unhinged, ...
IEEE

End-to-End Deterministic Network Slicing: A Profit-Driven Optimization Framework with Domain-Specific Algorithms

Abstract: With the rapid evolution of 5G/6G networks, deterministic services such as the Industrial Internet, vehicular communications, and immersive applications impose stringent end-to-end (E2E) ...
InvestmentNews

Change ahead for the markets including structure, regulation, investor behavior

Global market structure is poised for another year of rapid evolution, with multiple forces converging to redefine how institutional participants operate in 2026. A new outlook from Crisil Coalition ...
InfoWorld

Agentic AI is complex, not complicated

There’s a lot of interest in and concern around the use of AI agents. For organizations grappling with whether and how to use agentic AI, I recommend considering the model from the perspective of ...
GitHub

torch.compile generated wrong graph when tracing torch.use_deterministic_algorithms

import torch @torch.compile(backend="inductor") def fn(src, index, base_tensor): src = src + 10 torch.use_deterministic_algorithms(True) base_tensor.scatter_(0, index ...
Scientific Research Publishing

Buhrman, H. and de Wolf, R. (2002) Complexity Measures and Decision Tree Complexity: A Survey. Theoretical Computer Science, 288, 21-43.

ABSTRACT: We consider various tasks of recognizing properties of DRSs (Decision Rule Systems) in this paper. As solution algorithms, DDTs (Deterministic Decision Trees) and NDTs (Nondeterministic ...