Fundamental, which just closed a $225 million funding round, develops ‘large tabular models’ for structured data like tables and spreadsheets.
Large language models struggle to solve research-level math questions. It takes a human to assess just how poorly they ...
With the rapid advancement of Large Language Models (LLMs), an increasing number of researchers are focusing on Generative Recommender Systems (GRSs). Unlike traditional recommendation systems that ...
True or chatty: pick one. A new training method lets users tell AI chatbots exactly how 'factual' to be, turning accuracy into a dial you can crank up or down. A new research collaboration between the ...
Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.
JACKSONVILLE, Fla., Feb. 4, 2026 /PRNewswire/ — NLP Logix, one of the fastest-growing artificial intelligence (AI) ...
JACKSONVILLE, Fla., Feb. 4, 2026 /PRNewswire/ -- NLP Logix, one of the fastest-growing artificial intelligence (AI) consultancies in the United States, today announced the launch of LOGIXFORGE (TM) ...
John Snow Labs, a healthcare AI company, today announced it has achieved Pacific AI Governance Certification, validating its long-standing commitment to building responsible AI systems that are not ...
Computational pathology is becoming increasingly important in helping deliver precision medicine to a wider range of patients. Experts at the 37th European Congress of Pathology in Vienna discussed ...
Although large language models (LLMs) have the potential to transform biomedical research, their ability to reason accurately across complex, data-rich domains remains unproven. To address this ...
Learning robust linguistic representations from text has long been a central challenge in natural language processing and language sciences. NLP systems ...
Insilico Medicine has launched Science MMAI Gym, a domain-specific training infrastructure designed to transform LLMs into their best shape for drug discovery and development.