Alan Turing (1912–1954) was the mastermind of some of the most significant scientific discoveries and technological breakthroughs of the twentieth century. While he lived, the public had no idea that he was also a war hero whose astonishing feats of cerebration made him deserving of glory to rival that of the greatest Allied generals. Turing’s...
For many people artificial intelligence is synonymous with big data. This is because large data sets are the foundation of some of the most important AI breakthroughs over the past decade. ImageNet is a data set that contains millions of images, each hand-sorted into thousands of categories. Image classification has made huge strides since the...
Over the summer of 1956, an enterprising group of scientists, engineers, and mathematicians held a workshop at Dartmouth College to explore the idea of a new area of scientific research: artificial intelligence. The proposal for the workshop, penned a year earlier and now famous in the field, reads: The study is to proceed on the...
Prompt engineering or prompt programming is an interesting way to interact with GPT-3. It basically involves creating clever text-based scripts that make GPT-3 perform the tasks you desire. What is GPT3? GPT-3 is a language model by OpenAI. It generates AI-written text which can be virtually indistinguishable to human-written sentences and paragraphs, articles, short stories...
Deep learning is actually a new term for an artificial intelligence approach called neural networks. These networks have been around for over 70 years. Warren McCullough, Walter Pitts and Walter Pitts were the first to propose neural networks. They were two University of Chicago researchers who later moved to MIT in 1952. Until 1969, neural...
The current machine learning training and testing process is not rigorous enough to ensure that the models being trained will work in the real world. During the training process many different models can be produced that all perform equally well when tested in lab settings and differ only in small, arbitrary ways. The differences stem...
Artificial intelligence is getting more expensive to develop, and the cost is growing faster than the energy efficiency of the models. This is because they are trained many times with different structures, and the best one is selected. For example a model called Bidirectional Encoder Representations from Transformers (BERT) used 3.3 billion words from English books...
If you want to take a deep dive into AI and ethics, go to AI Ethics Reading | AI Truth.org for an overview of critical surveys, papers, books from AI experts. It’s definitely worth checking out :-). Photo by h heyerlein on Unsplash
