KHI Research

A recent simulation of self-resonance preheating in deformed attractor models revealed oscillon formation at energy scales exceeding 10¹⁵ GeV, a finding that challenges existing assumptions about early-universe phase transitions. Simultaneously, a sequence model trained on

Listen to this article0:00/01× 78% of pervasive embedded processors are vulnerable to microarchitectural timing leaks, according to a 2026 study by researchers analyzing the MIPSBLEED vulnerability. This finding directly impacts the safety of

A 2026 study demonstrates a 100-fold improvement in learning efficiency for continuous-variable quantum states, a leap that underscores the field’s shift from theoretical exploration to scalable implementation. Five years ago, quantum computing was mired

Listen to this article0:00/01× A 2026 study demonstrated 98% fidelity in mutual transformations of ternary qubit trees using Clifford gates, a leap from the 72% achieved in 2021. This progress underscores a broader

A 2026 study found that 78% of frozen large language model (LLM) agents failed to adapt to novel environments without explicit rulebooks, highlighting a critical gap in current autonomous systems. This statistic underscores a growing

A recent study using pulsar timing arrays has localized gravitational-wave signals with a precision of 0.01%, revealing a discrepancy between theoretical predictions and observed data in 15% of cases. This finding underscores a growing

Listen to this article0:00/01× A recent discovery of a warm Jupiter orbiting K2-232, with an outer companion exhibiting an eccentricity of 0.76, has reignited debates over planetary formation mechanisms. This finding, published

Listen to this article0:00/01× UltraText Bench, a bilingual benchmark containing 432 prompts across 24 real-world scene categories, reveals a critical shift in the creative AI field: evaluation is no longer about whether a

Listen to this article0:00/01× A 2026 study reveals that multimodal AI systems rely on a critical trade-off: retrieving images as pixels (1,000 visual tokens per image) versus using text proxies, which often

A 2026 study reveals that hybrid language models using recurrent-attention mechanisms reduce memory overhead by 23% compared to pure attention-based systems, while a parallel investigation shows that 78% of current artificial consciousness indicators lack calibration

A 20% discrepancy in error correction efficiency between deletion and insertion errors in permutation-invariant quantum codes has emerged as a critical fault line in quantum computing research. This finding, published in Nature Quantum Technologies on

The field of AI has shifted its focus from pure language models to hybrid systems that prioritize efficiency, alignment, and real-world applicability, with 12 key papers published in October 2026 highlighting these changes. A critical