Pungulescu, C. (2025) Semantic Diversification in Equity Portfolios. Theoretical Economics Letters, 15, 187-198. doi: 10.4236 ...

Understanding how cells transform into specialized types during human development is a central challenge in biology. This complex process, known as cell differentiation, holds the key to understanding ...

Indian IT strategy revolves around fine-tuning small language models, developing genAI agents, and optimising workflows ...

Aerospike is unveiling the latest iteration of its flagship multi-model distributed database, redefining what's possible with strict serializability. Aerospike 8 adds support for distributed ACID ...

The floodgates have opened for building AI reasoning models on the cheap. Researchers at Stanford and the University of Washington have developed a model that performs comparably to OpenAI o1 and ...

Unsurprisingly, my last two columns discussed artificial intelligence (AI), specifically the impact of language models (LMs) on data curation. My August 2024 column, “The Shift from Syntactic to ...

Researchers develop machine learning tools that screen for co-morbid anxiety disorders and major depressive disorder using acoustic voice signals. The team spoke to participants with and without ...

Large language models like ChatGPT display conversational skills, but the problem is they don’t really understand the words ...

OpenAI CEO Sam Altman downplayed the significance of a new artificial intelligence (AI) model released by Chinese startup ...

Understanding potential pitfalls—and how to overcome them—can help organizations maximize the value of this technology.

Imagine trying to drive a Ferrari on crumbling roads. No matter how fast the car is, its full potential is wasted without a solid foundation to support it. That analogy sums up  today’s enterprise AI ...