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Graph architecture replaces transformer attention, extrapolating to 4 million tokens in linear time
GTFormer proposes replacing Transformer self-attention with a hierarchical graph neural network, achieving zero-shot length ...
How AI’s ETH “Proof” Is Practically Useless Emerald Book Publication October 29, 2026 9 min read OpenAI and Anthropic both ...
Post quantum cryptography deadlines tightened on Oct. 27, 2026. Compare NIST IR 8547 final vs the 2024 draft, with sizes, ...
Tech Times on MSN
Meta AI and CMU researchers cut AI jailbreak rates by 22% with pre-deployment training data filter
LLM fine-tuning safety research from Meta AI and CMU pinpoints the harmless-looking training examples that erode AI model ...
Cornell doctoral candidate Ariel Goodwin has won the 2026 INFORMS Optimization Society Student Paper Prize for research ...
A new study puts a startling number on how many former NFL players died with CTE, but the diagnosis itself may matter less ...
Scientists have found how artificial intelligence AI can pack and transfer data using quantum-inspired mathematics, showing ...
Kaspersky says Lazarus hid malware downloads behind post-quantum ML-KEM-1024. What is confirmed, what is not, and how to ...
Researchers have integrated a Sequential Generalized K-means dictionary learning algorithm into multi-beam digital ...
In its ninth year, Design World’s LEAP Awards recognize the engineering innovations shaping the future of design and ...
AI can help theoretical computer scientists search for algorithms, proof components, and combinatorial structures. Here’s what recent results show—and why verification still matters.
A controlled benchmark study finds that 4-bit quantization of a compact Transformer model delivers the strongest overall ...
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