Tech stock declines highlight unsustainable AI spending; EssentaTor proposes Mapping Mathematics for durable, efficient intelligence systems.

A new hardware-software co-design increases AI energy efficiency and reduces latency, enabling real-time processing of ...

Every epoch in human history has had its equation of power. The variables of the 21st century are data, compute, and models.

Era-appropriate TRW MPY12HJ 12×12 parallel multiplier chip grabs the MUL instructions from the CPU, but requires code changes ...

University of Cambridge researchers have developed a nanoelectronic device built from hafnium oxide that mimics how biological synapses process information, and the University of Cambridge says it ...

As organizations increasingly rely on algorithms to rank candidates for jobs, university spots, and financial services, a new ...

Google’s TurboQuant has the internet joking about Pied Piper from HBO's "Silicon Valley." The compression algorithm promises ...

Abstract: In this paper, we propose three modular multiplication algorithms that use only the IEEE 754 binary floating-point operations. Several previous studies have used floating-point operations to ...

Those changes will be contested, in math as in other academic disciplines wrestling with AI’s impact. As AI models become a ...

Abstract: Multi-scalar multiplication (MSM) is the primary computational bottleneck in zero-knowledge proof protocols. To address this, we introduce FAMA, an FPGA-oriented MSM accelerator developed ...