MIT researchers and their colleagues have developed a new computational model of the human brain’s face-recognition mechanism that seems to capture aspects of human neurology that previous models have missed.

The researchers designed a machine-learning system that implemented their model, and they trained it to recognize particular faces by feeding it a battery of sample images. They found that the trained system included an intermediate processing step that represented a face’s degree of rotation — say, 45 degrees from center — but not the direction — left or right.

This property wasn’t built into the system; it emerged spontaneously from the training process. But it duplicates an experimentally observed feature of the primate face-processing mechanism. The researchers consider this an indication that their system and the brain are doing something similar.

Deep learning is changing how Google’s search engine works. But its new-found efficiency takes a lot of painstaking human work behind the scenes.

Driven by a declining population, a trend for developing robotic babies has emerged in Japan as a means of encouraging couples to become “parents”. The approaches taken vary widely and are driven by different philosophical approaches that also beg a number of questions, not least whether these robo-tots will achieve the aim of their creators.

To understand all of this it is worth exploring the reasons behind the need to promote population growth in Japan. The issue stems from the disproportionate number of older people. Predictions from the UN suggest that by 2050 there will be about double the number of people living in Japan in the 70-plus age range compared to those aged 15–30. This is blamed on a number of factors including so-called “parasite singles”, more unmarried women and a lack of immigration.

So, what are the different design approaches that are being taken to encourage more people to become parents? These have ranged from robots that mimic or represent the behavior of a baby to robots that look much more lifelike. Engineers at Toyota recently launched Kirobo Mini, for example, as a means of promoting an emotional response in humans. The robot does not look like a baby, but instead models “vulnerable” baby-like behaviors including recognising and responding to people in a high-pitched tone and being unstable in its movements.

Researchers are also working on making sure that if and when the robot does take a tumble, it falls safely and doesn’t fracture its… er, circuit boards.

What is the potential of machine art, and can it truly be described as creative or imaginative?