Cannabis & A.I
Cannabis and A.I look to be the next big economy boosters in the next few years.
By Okperuvwe Marho Louis
CANNABIS AND ARTIFICIAL INTELLIGENCE
Artificial intelligence is here, and they are amongst us. Walking, breathing, learning, and slowly taking control of our daily lives. While we continually evolve into a more advanced digital society. Our footprints form data, and these data are scoped from within the walls of the internet and our society. Data are the sum of all our experiences, rights, and privileges in the digital world. Keeping track of data in this era is vital.
As the world tussle for revolution and economic power, innovations are springing up daily to ease human life and save time. Data are relevant and might be irrelevant to an ordinary observer, not a machine. Machines are programmed to be conscious enough to keep records and the history of every single outcome it observes.
This is what is called Artificial intelligence.
These records are not stored only by the machines. They are used to improve past errors and predict future outcomes.
Technology and advancement led A. I to take storage and processing a step further by mimicking and creating new patterns to solve existing problems through a process called “Deep Learning”.
In time, A. I have become better and more accurate in determining and predicting more outcomes than most humans.
The changing point at which machines proved superior was at Google’s A. I Deep Mind game between Lee-Sidol in the game of “GO” which happens to be the world’s most strategic game. The game was held in Seoul, and google’s deep mind machine beat the world’s best human player. This proved the assertion that the machines are ready to play.
Teacher and Robotic Scientist Kai-fu Lee is not in denial that the presence of A. I will not be challenging for the human race.
In his Book A. I Superpowers China, silicon valley, and The New World Order, he wrote:
“So how does deep learning do this? Fundamentally, these algorithms use massive amounts of data from a specific domain to make a decision that optimizes for the desired outcome. It does this by training itself to recognize deeply buried patterns and correlations connecting the many data points to the desired outcome. This pattern-finding process is easier when the data is labeled with that desired outcome—“cat” versus “no cat”; “clicked” versus “didn’t click”; “won game” versus “lost game.” It can then draw on its extensive knowledge of these correlations—many of which are invisible or irrelevant to human observers—to make better decisions than a human could”.
According to Kai-Fu Lee:
Deep learning is what’s known as “narrow AI”—intelligence that takes data from one specific domain and applies it to optimizing one specific outcome. While impressive, it is still a far cry from “general AI,” the all-purpose technology that can do everything a human can. Deep learning’s most natural application is in fields like insurance and making loans. Relevant data on borrowers is abundant (credit score, income, recent credit-card usage), and the goal to optimize for is clear (minimize default rates). Taken one step further, deep learning will power self-driving cars by helping them to “see” the world around them—recognize patterns in the camera’s pixels (red octagons), figure out what they correlate to (stop signs), and use that information to make decisions (apply pressure to the brake to slowly stop) that optimize for your desired outcome (deliver me safely home in minimal time).
In an industry such as legal cannabis, the use of Artificial Intelligence will prove exponential and resourceful in certain areas.
A.I through machine learning can keep track of environmental records, logs of growth rate, and the life circle of a plant. Further determining when early pest control measures are needed. The machines are fed lots of data about the plant, then simultaneously learning on their own after numerous errors. A. I then begin to make suggestive options to help the cultivator prevent forecasted problems based on inputted data.
This method is quite resourceful because it leads to time management and the avoidance of mistakes associated with human miscalculations.
This would help provide a platform for having continuous cultivation results, as strains and potency outcomes will efficiently be predicted leading to an increase in quality and quantity. Artificial Intelligence will be responsible for monitoring the field, temperature, PH, and chlorophyll level, etc.
Which are necessities for the plant to grow in the environment reducing the manpower needed for one plant.
Aside from the cultivation processes, A.I also prove vitality in terms of transporting end products to consumers. Especially to prioritized medical consumers with the aid of quick deliveries drones.
It is easy for an A.I to retain and identify species and strains belonging to a patient who has trouble driving down to dispensaries in cases of extreme emergencies. For instance, patients who suffer from epileptic seizures or acute glaucoma with no one available. Through machine learning, A. I would be able to keep records of scheduled times for deliveries and the shortest route possible to get to a patient in distress.
With the variety in plants, and the need for trust, consistent, and quality products for both regulatory purpose and customer satisfaction- Artificial intelligence will be a key factor in the growing and distribution process of the cannabis industry.
Humans also have to determine the key areas where Artificial intelligence will play a huge role not only within the cannabis industry but all aspects of our lives.
Absolute equality and respect between humans and machines will be perfect for artificial intelligence and humans in solving problems side by side.
- A.I Superpowers China, silicon valley, and The New World Order- Kaifu Lee.