The reliability of public polling has been under scrutiny since major electoral mispredictions in 2016 and 2020, when ...

For rare diseases, AI-driven repurposing fills a critical gap. With more than 7000 rare diseases and only a small percentage ...

To achieve true autonomy, AI systems must integrate both neural networks (for learning and pattern recognition) and symbolic AI (for structured knowledge and reasoning). This fusion, known as ...

Frontiers in Neurorobotics has published a new paper by Xiaofei Han and Xin Dou introducing a next-generation artificial intelligence framework that combines graph neural networks and multimodal ...

Google’s new WeatherNext 2 model uses AI to generate 15-day weather forecasts in under a minute, promising faster, more ...

Model may also have applications in the prediction fields of renewable energy and other time series datasets, including weather forecasting and financial markets ...

Alembic Technologies, a pioneer in Causal AI for the enterprise, today announced it has secured $145 million in Series B and growth funding - a 15.7x increase in valuation over their Series A round.

“We’re currently looking for angel investors and are preparing an application for €100,000 in pre-seed funding to accelerate ...

Senior Manager Ranjeet Kumar drives data reliability through AI-driven observability, synthetic data generation, and ...

Manas Ranjan Panda, a global banking technology partner, leads change through AI research focused on regulatory compliance, ...

Sber opens weights of two new flagship MoE models in the GigaChat series — Ultra Preview and Lightning — trained from scratch ...

Robots can find their way in blocked or dangerous places without GPS. Using ideas from insects, birds & rodents, they navigate smarter & safer.