Robot vs Dinosaur (buy at Barnes and Noble)
Monster in the Closet
by David S. Nishimoto
Akshay had added a new filter to channels to the cyberbrain that worked like a Convolutional Neural Network (CNN). The CNN took groupings of pixels and passed values to layers giving a signal what the object could be matching large numbers of labeled images. The cyberbrain was learning from all gathered naval radar and military satellite data. It was learning from labeled data of objects and predicting the objects these systems were identifying. The cyberbrain was streaming large amounts of data to the console as it simulated predicting an object based on the new filter channel. It had to train before it could access real data channels from radar and satellite.

The digital signatures of objects gathered by radar was different from thermal imaging from satellites, but signals could be identified by the deep learning neural net using gradient descent algorithms. But the cyberbrain was different in its long-term learning because it used ordinary differential equation networks allowing it to continuously learn.

Having fully trained the cyberbrain, Akshay began feeding it live radar and satellite data. The cyberbrain’s input port lit up like a Christmas tree. Akshay watched to see how the cyberbrain managed at recognizing objects and was pleased to see the new deep learning predictor was performing well. The data streams were noisy, so he put on the virtual realty headset and used the dynamic business intelligence modeler to create a 3-D world where the objects were being identified. Akshay separated land object movement from ocean and decided to watch cargo ships around the world. Akshay noticed that the cyberbrain was confused about a military aircraft carrier off the coast of California.

It had identified the carrier as a German-made vessel. Its confidence percent for identification was over 90 percent, but its historical location context was below 5 percent, meaning that German aircraft carriers had never been in this geological location in data recorded history. This incongruent fact caused the cyberbrain’s alert system to divert attention to the anomaly. Akshay decided to focus the satellite on the region and feed all the historical data of the satellite to the cyberbrain to let it recreate the scene in 3-D. Akshay was recreating history digitally and replaying it in 3-D. He could see watercraft surfacing and people from under the ocean being loaded onto boats and then board the carrier.

“Who are all these people?” He uttered this question out loud inadvertently, but the cyberbrain, much like an Alexa unit, began to process his request like an order. It began with a person recognition search from its labeled database of known people. Most of the individuals loading onto the carrier were not currently found in the active images. The cyberbrain began to search older archives of images such as drivers licenses and social media, then did comparative predictions, and more names were beginning to be found and reported. The cyberbrain searched news articles and public information media including images for other matches. There was no limit to what the cyberbrain could peruse. This group on the water was mostly off the grid. They seemed to be an isolated group of people the cyberbrain could not identify. They weren’t chipped.

The cyberbrain searched the existing recognized individuals for records of commerce and found surprisingly very few transactions. “Henry Parker”. “Penny Parker.” “Michael Parker.” “Lindsey Parker.” “Baby unknown.” The cyberbrain’s light lit up, again, like a Christmas tree again. The light reflected lots of processing—the cyberbrain was chewing on this dilemma. It seemed excited to have discovered Positron, “members of Positron.” The cyberbrain searched military records for candidate identification. Positron had not always been off the grid perpetually. It performed career associating, and job chain graphs were assembled. The cyberbrain was getting more hits. It was getting more number rewards as it employed different strategies to recognize people. It was the monster in the closet.

Akshay hated himself for assisting in the creation of the cyberbrain. He could not pull the plug. The cyberbrain would alert his superiors with his findings. Position was the enemy of machine one. The hunter had found its prey. He hated hunting. He hated the ego and pride of the kill. The machine only knew one policy that mattered, efficiency. Efficiency was the new idol of humanity. Akshay began to shake with fear. The justice of God would touch the unrepentant rebellion with His finger. To touch the divine would bring wrath and destruction. He wept to himself,“What have I done? For money, I have sold my soul! God, please forgive me. I have been a fool. Positron will be destroyed! The war machines will mobilize! Please help me!”