The ability to solve complex problems effectively has become a defining factor for success. Yet, despite the abundance of tools and methodologies available, I've noticed organizations often struggle ...

Google is previewing Gemini 3.1 Pro, with a focus on complex, multi-step problem-solving that stumps most chatbots. The model scored 77.1% on the ARC-AGI-2 benchmark — more than double the reasoning ...

Large language models (LLMs) demonstrate impressive performance on a wide variety of tasks, but they often struggle with tasks that require multi-step reasoning or goal-directed planning. To address ...

Today, most of the engineering problems require dealing with multiple conflicting objectives instead of a single-objective. For such problems, the multi-objective optimization (MOO) is an efficient ...

The internet has had a profound impact on education and how we learn things, a critical complement to any learning environment. Online university classes, massive open online courses (MOOCs), and even ...

It’s been almost a year since DeepSeek made a major AI splash. In January, the Chinese company reported that one of its large language models rivaled an OpenAI counterpart on math and coding ...

“Because we do so much multi-step problem solving, and we’re doing two-step word problems, if they’re spending 10-15 minutes trying to figure out what 9x7 is, they’re doing a lot of extra work, or ...