All eyes are on the chip maker as it prepares a full-court press into a new process technology, spearheaded by chips for ...

Enterprises adopting AI cannot afford to be slowed by database lock-in. As the vector ecosystem evolves, the winners will be ...

Vector Algorithmics, developer of the Vector Futures Algorithm, highlights position sizing as one of the most overlooked ...

MathFactLab, founded by former Essex Westford elementary school teacher Mike Kenny, now has more than 1 million users all ...

Abstract: Emerging applications, e.g., machine learning, large language models (LLMs), and graphic processing, are rapidly developing and are both compute-intensive and memory-intensive. Computing in ...

Vector graphics are images that can be made infinitely large or small without losing any sharpness or color quality.

This interesting study adapts machine learning tools to analyze movements of a chromatin locus in living cells in response to serum starvation. The machine learning approach developed is useful, the ...

X' fine-tunes databases automatically, delivering multifold performance boosts Automated database systems based on vector ...

Abstract: Exploiting the numeric symmetry in sparse matrices to reduce their memory footprint is very tempting for optimizing the memory-bound Sparse Matrix-Vector Multiplication (SpMV) kernel.

If the mention of algebra conjures bad memories of math classes, a Python library called SymPy could change your mind about the subject. With SymPy, algebraic operations become easier than tedious ...