Lee, M. (2026) The Cost of Equity as a Yield: Embedded Bankruptcy Risk in Valuation. Journal of Mathematical Finance, 16, ...

As artificial intelligence deeply permeates all industries, competition among AI applications has shifted far beyond model parameter comparisons — it now centers on data quality and scenario ...

Trained biostatisticians play a central role in clinical science and public health. Brown’s online master’s in biostatistics ...

Inc. ("a.s.ist") leverages research expertise cultivated at The University of Tokyo to drive digital transformation (DX) in manufacturing through white-box AI.

Google says its new TurboQuant method could improve how efficiently AI models run by compressing the key-value cache used in LLM inference and supporting more efficient vector search. In tests on ...

Within 24 hours of the release, community members began porting the algorithm to popular local AI libraries like MLX for ...

The company says its new architecture marks a shift from training-focused infrastructure to systems optimized for continuous, low-latency enterprise AI workloads. 2026 is predicted to be the year that ...

Amazon Web Services plans to deploy processors designed by Cerebras inside its data centers, the latest vote of confidence in the startup, which specializes in chips that power artificial-intelligence ...

Lightbits Labs Ltd. today is introducing a new architecture aimed at addressing one of the most stubborn bottlenecks in large-scale artificial intelligence inference: the growing mismatch between the ...

Nvidia is not just a leader in training, but also in AI inference. AMD has carved out a nice niche in inference, and also has a nice agentic AI opportunity with its CPUs. Broadcom is set to benefit ...

Inference will take over for training as the primary AI compute moving forward. Broadcom has struck gold with its custom ASICs for AI hyperscalers. Arm Holdings should benefit immensely as inference ...