FullRecall is a software that can help you memorize the knowledge for lifelong periods with the minimum time investment. Underlying artificial neural network gradually grasps your forgetting curve to schedule optimal days for the reviews–i.e., days when you will be close to forgetting an information.

The problem of forgetting
We do forget. Nothing stays in our brain forever without reviews. If something is important to you, youll think about it from time to time—these repetitions, conscious or not, will reinforce your memory of this fact. We often come across new information and we want to keep it in memory even though we may not need it for the next weeks, months or even years. In order to not forget we have to do repetitions. However, how much time spent on repetitions is optimal? What is the optimal time of a review?

FullRecall is the solution here. Ensures that you remember new things, but dont forget what you have already memorized. Reviews are scheduled on days when youre close to forgetting, so sometimes you may actually forget an information, but FullRecall learns from these mistakes, self-corrects scheduling, to minimize chances of such lapses in the future.

In practice: how does work with FullRecall look like?
The software is similar to common flashcard programs: knowledge is stored in question-answer pairs. You add the question-answer pairs yourself (coming up with a concise, clear-cut question-answer pair, for every information, is a learning experience by itself), or use ready-made question-answer collections. In review mode youll have presented the questions, one by one. To every question youll think about an answer, and after a while youll be confronted with the correct answer. After seeing the correct answer, youll be asked for a grade that estimates how well you remembered the correct answer. The grade gives FullRecall a feedback. The program stores also other data, given current grade is able to schedule next optimal review time.