The Reason Aritifical Intelligence Differs From Traditional Software

Recently, many of the improvements made within the artificial intelligence sector have been due to the technology of “deep learning” which is also referred to as an “artificial neural network”. Traditional software is not intuitive as it simply follows a set of instructions predetermined by a programmer. If the software runs into a new problem which it has no answer prewritten for, it crashes. Deep learning is different as software can now write its own instructions instead of reading the instruction(s) of a programmer. Currently, as of 2021, deep learning is the equivalent of an all powerful, dim witted genie as it has the ability to evaluate the pixels of a photograph of a bottle of water, and can recognize with astonishing accuracy photographs of other water bottles, however it has no idea what the concept of water or the water bottle itself is, what the end user does to drink from the water bottle, what the end user needs the water for etc. This differs in human beings however as humans learn from a sample size of one, and are able to surmise the purpose of water and everything else which is relevant from witnessing it being used upon a single occasion

Rapid Advancements Within Computer Technologies Allowing for the Reduction of Cost and Increase of Performance

In 1985, the worlds most powerful computer was the Cray-2 which cost $35,000,000 ($35 million), and could not see, hear, or speak with its environment. Today, smartphones process data 10x faster and cost less than $1000.00, with the ability to see, hear, and interact with the end user (e.g Apple’s Siri, Microsoft’s Cortana, Samsung’s Bixby etc.). In 1956, the International Business Machines Corporation’s best hard drive weighed 2000 lbs., was 5 megabytes in size, and cost $3000.00 per month which equates to $28,000 as of 2019 when accounting for inflation. In 2019, most solid state Universal Serial Bus drives possess 200x as much storage at a minimum and cost less than $5.00

The Rationale Behind the President’s Chosen to be Depicted at Mount Rushmore

Mount Rushmore used a combination of dynamiting and jackhammering. It was the largest sculpture of its time. From left to right, George Washington was chosen as the father of the U.S., Thomas Jefferson as the father of U.S. law, Abraham Lincoln as the father of equality for all U.S. citizens, and Theodore Roosevelt who made the U.S. a world power

The Usage of 5D Crystals as a Means of Computational Storage

Quartz is being used to create the most powerful data storage device ever developed, the 5D Superman Memory Crystal, a technology which could store data for up to 13,800,000,000 (13.8 billion) years, the calculated age of the universe. The 5D quartz crystal is a method of ensuring a large density of data can be saved within a relatively small object. This is an incredibly secure and long lasting method of saving data as the information is physically encoded into the crystal itself, remaining indefinitely until the quartz itself is destroyed, a very difficult task in and of itself. In 2018, technology entrepreneur Nova Spivack used a 5D crystal to create a permanent space library, sending it to the International Space Station aboard the SpaceX Heavy Falcon rocket. Quartz is highly stable because it is a crystal, remaining unchanged for billions of years meaning if data is inserted, theoretically it could survive for billions of years. For a quartz crystal approximately 2.5 centimeters by 2.5 centimeters in diameter and 5 millimeters thick, 30 terabytes of data can be held, which is 30,000 gigabytes or 800 Blu-ray discs or 600 smartphones worth of information. This means that the entire British library could be fit into 1000 5D crystal slides, a small enough volume to fit within a single shoebox. A traditional storage medium like a compact disc, stores data in individual pixels, with 1 pixel able to hold the equivalent of 1 bit or 8 bytes of information. In a quartz drive however, each voxel can hold 8 bits or 64 bytes of information. The technology required to achieve this feat however is still in its infancy with scientists still discovering new ways to refine manufacturing, the writing and reading of data, and storage capabilities