BestHub
Sign in
Machine Heart
Author

Machine Heart

Professional AI media and industry service platform

432
Articles
0
Likes
336
Views
0
Comments
Recent Articles

Latest from Machine Heart

100 recent articles max
Machine Heart
Machine Heart
May 22, 2026 · Artificial Intelligence

Breaking the Echo Chamber: MP‑MoE Introduces Ensemble‑Pruning for Diverse Experts

The paper presents MP‑MoE, a new Mixture‑of‑Experts architecture that replaces top‑k routing with Mahalanobis‑based ensemble pruning, explicitly encouraging expert diversity via a co‑occurrence matrix, and uses an efficient greedy algorithm with incremental Cholesky updates, achieving higher performance with minimal training overhead and no inference cost.

Dynamic RoutingEnsemble PruningExpert Diversity
0 likes · 8 min read
Breaking the Echo Chamber: MP‑MoE Introduces Ensemble‑Pruning for Diverse Experts
Machine Heart
Machine Heart
May 22, 2026 · Industry Insights

Why Even Microsoft Can’t Afford Claude Code’s Token Costs

Microsoft has cancelled its internal Claude Code license because token‑based billing made the AI coding tool too expensive, highlighting rising AI software prices, internal cost pressures, and a broader industry shift toward usage‑based pricing.

AI industry trendsAI token pricingAnthropic
0 likes · 7 min read
Why Even Microsoft Can’t Afford Claude Code’s Token Costs
Machine Heart
Machine Heart
May 22, 2026 · Artificial Intelligence

Nvidia’s First Tri‑Mode LLM Boosts Token Throughput 4× and Promises Second‑Second Long‑Text Generation

Nvidia introduces a tri‑mode large language model that can switch among autoregressive, diffusion and self‑speculation decoding, delivering up to four times higher token throughput, achieving state‑of‑the‑art accuracy on benchmarks, and showing significant speed gains on DGX Spark, RTX 6000 Pro and GB200 hardware.

LLMNVIDIASpeculative Decoding
0 likes · 8 min read
Nvidia’s First Tri‑Mode LLM Boosts Token Throughput 4× and Promises Second‑Second Long‑Text Generation
Machine Heart
Machine Heart
May 22, 2026 · Artificial Intelligence

ATLAS: One Word Unifies Agentic and Latent Visual Reasoning

ATLAS introduces a discrete functional token that simultaneously serves as an agentic operation and a latent reasoning unit, enabling large multimodal models to perform visual tasks without external tools or intermediate image generation, and achieves competitive results through SFT‑plus‑RL training and a token‑level gradient‑anchor technique.

ATLASagentic reasoningfunctional token
0 likes · 11 min read
ATLAS: One Word Unifies Agentic and Latent Visual Reasoning
Machine Heart
Machine Heart
May 22, 2026 · Artificial Intelligence

HiF-VLA: Motion‑Centric ‘Think‑While‑Doing’ World Action Model Breaks Short‑Sighted Limits

HiF-VLA introduces a motion‑centric bidirectional spatiotemporal reasoning framework with a joint‑expert module that simultaneously predicts future visual motion and generates high‑precision action sequences, eliminating visual redundancy, cutting inference latency and memory usage, and achieving superior success rates on long‑horizon benchmarks such as CALVIN and LIBERO‑LONG.

HiF-VLAMotion RepresentationVision-Language-Action
0 likes · 9 min read
HiF-VLA: Motion‑Centric ‘Think‑While‑Doing’ World Action Model Breaks Short‑Sighted Limits
Machine Heart
Machine Heart
May 22, 2026 · Industry Insights

How a 898‑Day Effort Built a Domestic Hollow‑Cup Motor for Humanoid Robots

The article details Shanghai Mach Manufacturing's 898‑day development of a high‑precision, fully self‑designed hollow‑cup motor production line that breaks the foreign monopoly and enables Chinese humanoid robots to achieve human‑like dexterous manipulation.

Shanghai Mach Manufacturinghollow cup motorhumanoid robot
0 likes · 6 min read
How a 898‑Day Effort Built a Domestic Hollow‑Cup Motor for Humanoid Robots
Machine Heart
Machine Heart
May 21, 2026 · Artificial Intelligence

Breaking the Traditional UED Bottleneck: Using RL to Precisely Locate the Zone of Proximal Development

The paper introduces PACE, a Parameter Change Environment Design method that evaluates training levels by measuring induced policy parameter updates, offering a low‑variance learning‑progress signal that outperforms prior UED approaches on MiniGrid and Craftax benchmarks, achieving higher success rates and more stable generalization.

CraftaxCurriculum LearningICML 2026
0 likes · 10 min read
Breaking the Traditional UED Bottleneck: Using RL to Precisely Locate the Zone of Proximal Development
Machine Heart
Machine Heart
May 21, 2026 · Artificial Intelligence

OneModel 1.7 Hits 99% LIBERO Success, Bridging ‘Seeing’ to ‘Doing’ with Implicit Predictive Policy

OneModel 1.7 FrontoStria‑RL achieves a 99% average success rate on the LIBERO benchmark, surpassing π0.5, GR00T‑N1.5 and OpenVLA‑OFT, by introducing a Predictive Policy Latent that implicitly links world‑model understanding to action execution and is continuously refined through a reinforcement‑learning loop and a Retrieve‑then‑Steer memory mechanism.

Embodied AILIBERO BenchmarkPredictive Policy Latent
0 likes · 15 min read
OneModel 1.7 Hits 99% LIBERO Success, Bridging ‘Seeing’ to ‘Doing’ with Implicit Predictive Policy