Artificial reinforcement learning is just one lens to evaluate organizations. However, this thought experiment taught me that ...

More than two years ago, Danish psychiatrist Søren Dinesen Østergaard published a provocative editorial suggesting that the rise of conversational artificial intelligence could have severe mental ...

Just because an AI tool can process data quickly does not mean that the output has yielded the correct result for a particular context or situation.

Rules-based automation (RBA) and learning are two training mechanisms in robotics. While there are many others, these are two ...

You finally have something real: a prototype, a name, maybe your first customers. And then it hits you. What if someone copies this? What if a contractor walks away with the code? What if an investor ...

This New Year, look to the Michigan Daily’s Style Beat for all the best lifestyle changes to ensure your 2026 happens in Style.

While experimentation is essential, traditional A/B testing can be excessively slow and expensive, according to DoorDash engineers Caixia Huang and Alex Weinstein. To address these limitations, they ...

This is an important work implementing data mining methods on IMC data to discover spatial protein patterns related to the triple-negative breast cancer patients' chemotherapy response. The evidence ...

Peacock has a great selection of movies, and that’s especially true in January. The streamer has added a slew of great titles, from new releases like Black Phone 2 starring Ethan Hawke to old ...

Abstract: This paper proposes an iterative methodology to integrate large-scale behavioral activitybased models with mesoscopic traffic assignment models. The proposed approach fully decouples the two ...

Mathematica needs you! Add, subtract, divide and multiply your way to victory. Meet the Karate Cats and practice spelling, grammar and punctuation as you chop, kick and smash the challenges. Join ...

Abstract: The Quadratic Assignment Problem (QAP) is a combinatorial optimization problem that seeks a one-to-one assignment of facilities to locations to minimize total logistics cost, given flows ...