"Artificial intelligence learned how to generate text and art better than ever before, while computer scientists developed algorithms that solved long-standing problems." Links to further papers and discussion on topics including: Tackling "P versus NP" Emergent behaviours in large language models...
Source: quantamagazine.org
Scaling Kubernetes to 7,500 Nodes: We've scaled Kubernetes clusters to 7,500 nodes, producing a scalable infrastructure for large models like GPT-3, CLIP, and DALL·E, but also for rapid small-scale iterative research such as Scaling Laws for Neural Language Models. Scaling a single Kubernetes cluster...
Source: openai.com
The Future of Education is the Microdegree. "Microdegrees, such as Udacity’s nanodegrees, appear to be here to stay. The reason is simple. Increasingly, what people learn during college holds little or no relevance to what they end up doing on the job. This isn’t because what they are learning is...
Source: elearninginside.com
JavaScript Is Eating The World: NodeJS is quickly becoming one of the most commonly used language in building web applications and is beginning to find its way into the Enterprise.
Source: dev.to
Scientists Have Opened the Door to Biological Pacemaker Therapy |: Throughout life each heart beat is regulated primarily by a specialized tissue called the sinoatrial node. Unfortunately, this natural pacemaker’s ability
Source: medgadget.com