Quantum computers might crack today's encryption far sooner than we thought
According to a study by engineers at Caltech and the UC Department of Physics, quantum computers do not need to be nearly as powerful as previously believed to crack the most advanced cryptographic technologies. The research claims that Shor's algorithm could break RSA public-key encryption using quantum computers with just... Read Entire Article
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Bankai (卍解) — the first post-training adaptation method for true 1-bit LLMs.
I've been experimenting with Bonsai 8B — PrismML's true 1-bit model (every weight is literally 0 or 1, not ternary like BitNet). I realized that since weights are bits, the diff between two model behaviors is just a XOR mask. So I built a tool that searches for sparse XOR patches that modify model behavior. The basic idea: flip a row of weights, check if the model got better at the target task without breaking anything else, keep or revert. The set of accepted flips is the patch. What it does on held-out prompts the search never saw: Without patch: d/dx [x^7 + x] = 0 ✗ With patch: d/dx [x^7 + x] = 7x^6 + 1 ✓ Without patch: Is 113 prime? No, 113 is not prime ✗ With patch: Is 113 prime? Yes, 113 is a prime number ✓ 93 row flips. 0.007% of weights. ~1 KB. Zero inference overhead — the patched
In the Presence of the Minister of Energy, Cisco and King Abdullah University of Science and Technology (KAUST) launch landmark AI Institute to accelerate AI research, development, and talent in Saudi Arabia - Cisco Newsroom
In the Presence of the Minister of Energy, Cisco and King Abdullah University of Science and Technology (KAUST) launch landmark AI Institute to accelerate AI research, development, and talent in Saudi Arabia Cisco Newsroom
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The Indirect Method for Generating Libraries of Optimal Periodic Trajectories and Its Application to Economical Bipedal Walking
arXiv:2410.09512v2 Announce Type: replace Abstract: Trajectory optimization is an essential tool for generating efficient, dynamically consistent gaits in legged locomotion. This paper explores the indirect method of trajectory optimization, emphasizing its application in creating optimal periodic gaits for legged systems and contrasting it with the more common direct method. While the direct method provides flexibility in implementation, it is limited by its need for an input space parameterization. In contrast, the indirect method improves accuracy by computing the control input from states and costates obtained along the optimal trajectory. In this work, we tackle the convergence challenges associated with indirect shooting methods by utilizing numerical continuation methods. This is pa
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