What we have here is a 'KQNP vs kqbnp' chess problem generated by a computer using the 'DSNS' computational creativity approach which does not use any kind of machine or deep learning. The largest (Lomonosov)

A new if not unique KQRB vs kqbnnp mate in 3 chess puzzle or problem (whichever you wish to call it) composed by the program, Chesthetica, using the approach known as the DSNS from the sub-field of AI,

This is an original 'KQPP vs kr' chess puzzle or problem (whichever you wish to call it) composed by a computer program, Chesthetica, using the 'Digital Synaptic Neural Substrate' computational creativity

What we have here is a 'KBNP vs kb' three-move chess problem generated by the prototype computer program, Chesthetica, using the 'Digital Synaptic Neural Substrate' computational creativity method. It

Contemplate this 'KRNN vs kn' #3 chess puzzle created by Chesthetica using the 'Digital Synaptic Neural Substrate' computational creativity approach which does not use any kind of deep learning. There

Contemplate this 'KBBPP vs k' chess construct composed autonomously by a computer program, Chesthetica, using the Digital Synaptic Neural Substrate (DSNS) computational creativity approach. It doesn't

Here is a 'KRRP vs kr' four-move chess construct composed autonomously by Chesthetica using the Digital Synaptic Neural Substrate (DSNS) computational creativity approach. It doesn't use endgame tablebases,

Now, here we have a 'KBNNN vs kp' four-move chess construct composed autonomously by a computer program, Chesthetica, using the 'Digital Synaptic Neural Substrate' computational creativity method. It does

A 'KBBNN vs kp' mate in 5 chess puzzle created by the program, Chesthetica, using the computational creativity approach which doesn't use any kind of traditional AI or even deep learning. Chesthetica has

A new if not unique KQBPP vs knn five-move chess construct generated by the prototype computer program, Chesthetica, using the DSNS computational creativity approach which doesn't use any kind of traditional

This is an original 'KBBNN vs kp' four-move chess puzzle created by the prototype computer program, Chesthetica, using the computational creativity approach which doesn't use any kind of traditional AI

Contemplate this 'KQRBBNP vs kqrbnnp' study-like chess construct composed autonomously by a computer program, Chesthetica, using the 'DSNS' computational creativity approach which does not use any kind

Consider this 'KRRBP vs kbp' #5 chess problem generated autonomously by the prototype computer program, Chesthetica, using the approach known as the DSNS from the sub-field of AI, computational creativity.

An original 'KQRNP vs kbppp' chess puzzle or problem (whichever you wish to call it) composed by a computer program, Chesthetica, using the DSNS computational creativity approach which doesn't use any

A 'KBNNNPP vs krp' chess problem generated by the prototype computer program, Chesthetica, using the computational creativity approach which doesn't use any kind of traditional AI or even deep learning.

A new if not unique KRNNNP vs kbn #4 chess problem generated autonomously by the prototype computer program, Chesthetica, using the Digital Synaptic Neural Substrate (DSNS) computational creativity approach.

This is an original 'KQBNP vs kqrbn' three-move chess problem generated by Chesthetica using the Digital Synaptic Neural Substrate (DSNS) computational creativity approach. It doesn't use endgame tablebases,

Now, here we have a 'KRNP vs kbbnp' chess problem generated autonomously by the prototype computer program, Chesthetica, using the approach known as the DSNS from the sub-field of AI, computational creativity.

Consider this 'KNNPP vs kr' #5 chess puzzle or problem (whichever you wish to call it) composed by the prototype computer program, Chesthetica, using the Digital Synaptic Neural Substrate (DSNS) computational

An original 'KRRB vs krbn' chess problem generated by Chesthetica using the 'DSNS' computational creativity approach which does not use any kind of machine or deep learning. Chesthetica is able to use