Making artificial intelligence more reliable | MSUToday

Making artificial intelligence more reliable | MSUToday

But symbolic AI systems could not scale up with real-world complexity and weren’t robust enough to handle noisy or incomplete information, Kordjamshidi said.   Assistant Professor Yu Kong of Michigan State University On the other hand, early neural models also struggled with scaling to real-world complexity because they lacked the requisite data and computational power. … Read more