Simulate the human brain It is one of the great scientific challenges of our time. It is not just a matter of calculation power: for years, laboratories around the world have invested millions in trying to replicate their operation, but even with advances in artificial intelligence (AI) and supercomputing, the goal is still far away.
Why is it so difficult? Because the brain is not only an information processor, but an ultra -efficient system of just 1.4 kg with more than 86,000 million interconnected neurons. Imitating their cognitive, emotional and linguistic abilities remains a border that we have not yet crossed, although some believe we are close.
INAIT simulation technology and Microsoft’s computational power
Inait, a Swiss startup founded in 2018 under the premise that “the only proven intelligence form is in the brain,” has closed an alliance with Microsoft to develop AI models capable of simulating The reasoning of mammals. Their objective is to apply them in sectors such as finance, risk management and personalized advice.
In theory, everything fits perfectly. Inait says having a simulation technology based on decades of research financed by the Swiss government, and Microsoft puts on the table the infrastructure and the business model necessary to transform this commitment into products ready to reach millions of customers worldwide.
But the idea is not to develop human brains simulations with all its faculties overnight. Inait is training Digital models of different sizesdesigned to address specific challenges. For example, for advanced trading or the development of industrial machines capable of adapting to complex and dynamic environments.
Digital visualization of a region of the Neocortex and the thalamus, including its network of blood vessels.
Here the advantage is clear: take advantage of one of the most amazing faculties of the brain, which is its ability to face completely new scenarios and adapt quickly and continuously using previous knowledge. Even when it comes to sensory, emotional or social stimuli never before experienced.
According to Financial Times, Adir Ron, Director of AI and Microsoft cloud for emerging companies, highlighted the approach of the Swiss startup: “Inait is a pioneer in a new paradigm of AI: it goes beyond traditional models based on data to digital brains capable of a True cognition”.
For his part, Henry Markram, co -founder of INAIT, said that AI models based on brain simulations could not only learn much faster than current deep reinforcement systems, but also have significantly lower energy consumption. This would mean a key advantage in terms of efficiency and sustainability.
Now we only have to wait to see if this vision translates into tangible advances or if, like so many other technological promises, You can’t advance enough. The possibility of building AI models that imitate the learning and adaptability of the human brain is a monumental challenge, but also an extremely interesting goal.
Images | Milad Fakurian
In WorldOfSoftware | We already know at what speed our brain processes: just 10 bits per second
In WorldOfSoftware | Figure creates a system to make large -scale humanoid robots. And of course, there will be robots manufacturing robots
