Here are some highlights in the history of artificial intelligence (AI), when a computer has managed to get the upper hand on the human... in a game
Neuroscience has shed new light on how our brain learns. Although much remains to be explored, we now know that some beliefs may be forgotten, while others deserve renewed interest. Here are 7 myths passed through the filters of neuroscience:
In this knowledge-based economy that technologically evolves every day, being able to "learn how to learn" is THE key skill of the new worker. Moreover, the strength of a company rests more than ever on its human capital.
Creativity, emotional intelligence and the ability to collaborate are among the top 10 skills that will be most sought after in 2020, as well as, let's say ... tomorrow! In the wake of the 4th Industrial Revolution led by the Internet of Things and digital technologies, it appears that the actual "human" qualities are becoming popular.
While the most advanced AI programs can successfully mimic the cognitive functions associated with human intelligence, decoding humor and making people laugh gets a bit more complicated.
We learn every day, unpredictably, in a variety of personal and professional situations. The potential of informal learning in the workplace is attracting growing interest, and educational researchers are no longer merely viewing it in the form of opposition to its formal counterpart.
Business owners who will need to sell or transfer their businesses in the next 10 years are estimated at 30,000, a figure that some say is conservative. Put this number mostly on the fact that the “baby boomers” are beginning to retire.
Fast, versatile, and engaging, micro-learning is an important trend in online education. This approach fragments information into "little bites" and can take now innovative forms to serve more structured online courses.
While there are several valid teaching methods, the latest discoveries in neuroscience have identified four factors necessary for successful learning. Compatible with the freedom and experimentation that remain important in pedagogy, these guiding factors can be integrated into various learning approaches.
If artificial intelligence (AI) rhymes with "learning" today, just a few years ago things looked very different. Although it was possible to identify print characters, play chess or make medical diagnoses using logical inferences from experts, the AI at the time was, however, laborious and limited since it required manual programming.