Photonics is promising to handle extensive vector multiplications in AI applications. Scientists in China have promoted a programmable and reconfigurable photonic linear vector machine named SUANPAN, ...
Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
Morning Overview on MSN
MIT’s heat-powered silicon chips hit 99% accuracy in math tests
Engineers at MIT have turned one of computing’s biggest headaches, waste heat, into the main act. By sculpting “dust-sized” silicon structures that steer heat as precisely as electrical current, they ...
Abstract: In this paper, Vedic Multiplication Technique is used to implement IEEE 754 Floating point multiplier. The Urdhva-triyakbhyam sutra is used for the multiplication of Mantissa. The underflow ...
Abstract: Sparse matrix multiplication (SpMM) is a critical kernel used in a wide range of applications, but irregular memory access patterns and memory bandwidth bottleneck as well as load imbalance ...
I thought it would be fun to program up Karatsuba's multiplication to see how it really performs compared to the grade-school method. Sometimes these techniques to optimize big-O bounds don't work ...
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