Abstract: The gradient descent bit-flipping with momentum (GDBF-w/M) and probabilistic GDBF-w/M (PGDBF-w/M) algorithms significantly improve the decoding performance of the bit-flipping (BF) algorithm ...

One of the grand challenges of artificial intelligence is developing agents capable of conducting scientific research and discovering new knowledge. While frontier models have already been used to aid ...

Abstract: Convolutionally precoded polar codes known as polarization-adjusted convolutional (PAC) codes are a promising variant of polar codes for short block lengths. The precoding in PAC codes has ...

Vector Post-Training Quantization (VPTQ) is a novel Post-Training Quantization method that leverages Vector Quantization to high accuracy on LLMs at an extremely low bit-width (<2-bit). VPTQ can ...

Instagram is introducing a new tool that lets you see and control your algorithm, starting with Reels, the company announced on Wednesday. The new tool, called “Your Algorithm,” lets you view the ...

The U.S. arm of the professional services firm that formed from the remains of the accounting giant Arthur Andersen plans to raise ~$176M in an initial public offering, according to an SEC filing on ...

As artificial intelligence (AI) continues to revolutionize the economy, courts are increasingly being asked to determine whether AI models and algorithms can be protected as trade secrets. Yet case ...

Dec 8 (Reuters) - Tax advisory firm Andersen Group said on Monday it was targeting a valuation of up to $1.75 billion in its initial public offering in the United States, as it races, among others, to ...