在人工智能产业飞速迭代的今天，大模型、多模态、AutoML等技术的突破，正在重构整个科技行业的发展格局。而在这一切技术落地的背后，算法工程师作为核心支撑力量，常年深耕在模型研发的一线，他们日复一日与参数、数据、算力打交道，反复调试、不断试错，只为打磨出精度更高、性能更优的算法模型——这种繁琐且需要极强耐心的研发过程，被业内人形象地称为“算法炼丹”。 Today, with the rapid it ...

Memories can be as tricky to hold onto for machines as they can be for humans. To help understand why artificial agents develop holes in their own cognitive processes, electrical engineers have ...

A team of researchers from Atlanta-based Georgia Institute of Technology introduced an open-source algorithm Oct. 26 that predicts a cancer drug’s effectiveness based on a patient’s genetic data. The ...

Cancer patient navigators (CPNs) can decrease the time from diagnosis to treatment, but workloads vary widely, which may lead to burnout and less optimal navigation. Current practice for patient ...

This article was co-authored with Emma Myer, a student at Washington and Lee University who studies Cognitive/Behavioral Science and Strategic Communication. In today’s digital age, social media has ...

MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced the proposal of a new approach to solving the Boolean function query problem. This framework starts from the ...

In an era dominated by social media, misinformation has become an all too familiar foe, infiltrating our feeds and sowing seeds of doubt and confusion. With more than half of social media users across ...

Three new books warn against turning into the person the algorithm thinks you are. Like a lot of Netflix subscribers, I find that my personal feed tends to be hit or miss. Usually more miss. The ...