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Tag: artificialintelligence

AI and the Selfish Gene

Epigenetics theories of Larmarck applied to AI and predictive behaviour in humans. Evolution does not serve individuals but genes propagation (Dawkins ‘selfish genes’).

Use personal data as DNA that is transfered from individual to individual in a world where individuals are just the ‘interfaces’ for genes to learn and spread across the world.

The Advantage of Chatbots in Marketing

The key advantage of chatbots is that they are ready to interact with potential customers 24/7. They can answer any question in a jiffy – be its square footage, leasing terms, or any other topic of interest for real estate domain.

Moreover, based on user preferences, a chatbot can make personalized offerings. All in all, real-estate chatbots are very effective at engaging visitors and generating higher lead conversions.

We are not Just Lines of Code

The unbounded faith that software can tackle just about anything humans can find its origins in a 1958 essay by mathematician John Von Newman entitled “The Computer and the Brain“.

“Von Neumann was an important figure in computer science, and the book discusses how the brain can be viewed as a computing machine”.

Rather than being seen as an interesting but highly imperfect analogy, the essay has passed into the realm of fact governing the minds of those who imagine a world ruled by software.

Un Día de Frisbee en la Playa

Una de las características para entender la diferencia esencial entre cómo ‘piensa’ una máquina y como lo hace una persona es la capacidad de abstracción (que no tienen las máquinas). Y la capacidad de simular la realidad, y convertirse en parte de un todo (que si tenemos nosotros).

The exponential path to artificial humans

AI is not limited to the digital world. Its also having machines working on physical tasks (robotics), and this has actually thousands of years. Good for repetitive tasks.

The cleaning robots create a map of the home and works like old industrial machines programmed by humans. The new cars are being fed with data through many complex sensors so the car learn from its mistakes and start to take decissions. Just a little bit more complex.

Trying to reproduce human life or human mind is all the more costly the closer you get to a real human being, resulting in exponential costs long before that limit is reached.

And when -in the end- making a real human can be done in 9 months that makes you rethink many false claims and priorities, like those human shaped robots you see in the Chinese propaganda.

AI Planning: Contextualized Logic

Planning is a long-standing sub-area of Artificial Intelligence (AI). Planning is the task of finding a procedural course of action for a declaratively described system to reach its goals while optimizing overall performance measures.

Planning AI works well in system with predefined symbols: driving, legal contracts, etc. Its contextualized logic.

It’s called planning artificial intelligence because you still have to plan out how to match your symbols and patterns. Tries to solve the problem of the long lists that you get with the expert systems. Instead, it uses something called heuristic reasoning.

This reasoning gives artificial intelligence a form of common sense. It tries to limit what patterns the program has to match at any one time. This is sometimes called limiting the search space.

Google knows that there´s a limited set of choices you can choose from.
Its key to be accurate not to cumulate errors because it breaks the hole reasoning.

eg the first node expect always some constrained expression: hello, how are you, etc. so it doesn´t need to run the hole list. This is Google Places: it has all the options, but shows you the ones relevant.