The Langlands programme has inspired and befuddled mathematicians for more than 50 years. A major advance has now opened up ...

Brain-inspired chips can slash AI energy use by as much as 100-fold, but the road to mainstream deployment is far from guaranteed.

Overview Fixed-point arithmetic is essential for many applications, but performing such operations efficiently in a Fully Homomorphic Encryption (FHE) setting remains a challenge. This bounty focus ...

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Although floating point arithmetic standards – like the commonly used IEEE 754 – seek to minimize this error, it’s inevitable that across the range of a floating point variable loss of ...

Efficient near-memory digital logic is critical to retain the high area/energy efficiency and low latency of AIMC. Existing systems adopt Floating Point 16 (FP16) arithmetic with limited ...

How we got here Floating-point arithmetic is a kind of scientific notation, which condenses the number of digits needed to represent a number. This trick is pulled off by an arithmetic expression ...

In C, you have to manually consider all side effects deriving from fixed-point arithmetic, while in Ada, the compiler takes care of selecting the right operations for you.