The ease of biological manipulation by chemical means has held life sciences companies back for over a century from exploring the system, that is equally receptive to electromagnetic interventions. Recent news that GSK has partnered with Alphabet to advance the field of bioelectronics is encouraging. The idea is to impart electrical signals to neurons by micro implants to cure chronic diseases. Although it is a profitable path to pursue, some caution may be in order.
There is a long history of engineering experts attempting prescriptive interventions on biological systems with an expectation of deterministic outcomes. Humans are generally good in engineering and traditional computing but biological systems do not behave in such a predictable fashion. Their engineering competence comes from selection, in which simple tools based on Newtonian Physics let them survive the harsh environment they were in for nearly hundred thousand years. The modern game is distinctly different and it is unlikely that they possess the skills to fast track with the hardware they have built up. With "Artificial Intelligence," soaking up the air waves, it is important for technology giants to bias toward humility. As projects such as "death cure," so slow to come to fruition so as to annoy the technologists behind it, perhaps getting not too excited about curing diabetes through neuron stimulation is a good idea. After all, nature took four billion years to get here, albeit, it was without a computer farm that soaks up a high share of the world electricity production. Competing with nature is likely to take a bit more than that.
The convergence of biology and computing is unavoidable. However, it is unlikely to be advanced by those with stagnant notions of either field.
There is a long history of engineering experts attempting prescriptive interventions on biological systems with an expectation of deterministic outcomes. Humans are generally good in engineering and traditional computing but biological systems do not behave in such a predictable fashion. Their engineering competence comes from selection, in which simple tools based on Newtonian Physics let them survive the harsh environment they were in for nearly hundred thousand years. The modern game is distinctly different and it is unlikely that they possess the skills to fast track with the hardware they have built up. With "Artificial Intelligence," soaking up the air waves, it is important for technology giants to bias toward humility. As projects such as "death cure," so slow to come to fruition so as to annoy the technologists behind it, perhaps getting not too excited about curing diabetes through neuron stimulation is a good idea. After all, nature took four billion years to get here, albeit, it was without a computer farm that soaks up a high share of the world electricity production. Competing with nature is likely to take a bit more than that.
The convergence of biology and computing is unavoidable. However, it is unlikely to be advanced by those with stagnant notions of either field.
No comments:
Post a Comment