Machine Learning

Dart communicates with SQL server through ffi. Set up your local internet information server and try crud with the database using JSON serialization and deserialization --- Send in a voice message: https://anchor.fm/david-nishimoto/message

Lessons learned while coding in flutter

Why flutter and dart --- Send in a voice message: https://anchor.fm/david-nishimoto/message

Deep learning will be influenced by reinforced learning because conditional programming can improve based on reward or loss actions

The Restricted Boltzman Machine provides a simple way to learn a layer of features without supervision. Many layers of representation can be learned by treating the hidden states of one RBM as the visible data for training the next RBM. This creates good generative models that can be fine-tuned. Back preparation can be used for labels and discrimination. --- Send in a voice message: https://anchor.fm/david-nishimoto/message

The abiogenic theory of petroleum formation presumes that an enormous source of primordial hydrocarbons (created a the time of the planet formation) resides in the upper mantle and lower crust-far deeper than can be drilled and sampled directly (30-100km). --- Send in a voice message: https://anchor.fm/david-nishimoto/message

Shale oil reduces trade deficits, decreases inflation, increases tax revenues, and strengthens the dollar. The goal should be to increase oil production --- Send in a voice message: https://anchor.fm/david-nishimoto/message

Bring data to the user in a more usable format

Follow discussion to the previous blog. I talk about the companies build fuel cell future --- Send in a voice message: https://anchor.fm/david-nishimoto/message

Rapid growth brought on by disruptive technology --- Send in a voice message: https://anchor.fm/david-nishimoto/message

Every device that electronically gathers or controls data is a candidate for image or natural processing language with human beings with conversation. I don't drink coffee. It was an example --- Send in a voice message: https://anchor.fm/david-nishimoto/message

What skills should I learn and why --- Send in a voice message: https://anchor.fm/david-nishimoto/message

Small businesses innovate and have a larger gdp than big business --- Send in a voice message: https://anchor.fm/david-nishimoto/message

Cloning the ultimate soldier is possible but not ethical or moral to accomplish --- Send in a voice message: https://anchor.fm/david-nishimoto/message

The key to self-organization resideds in a field of tension between discipline and freedom. --- Send in a voice message: https://anchor.fm/david-nishimoto/message

Petroluxus separates the oil from tar sands without storing toxic water in tailing pools. The Petroluxus causes the oil too separate from the tar sands. In 24 hours over 99% of the oil is separated from the tar sand. --- Send in a voice message: https://anchor.fm/david-nishimoto/message

I talk on the state of energy production of electricity in the year 2010 projecting into 2020 and 2030 --- Send in a voice message: https://anchor.fm/david-nishimoto/message

The fuel cell and electric battery semi is a superior option so why is the marketing think electric semi and trucks are the future --- Send in a voice message: https://anchor.fm/david-nishimoto/message

Determining potential profit using neural nets

Parallelism computing architecture would allow the computer to do things in real time in architecture not possible to do at all. GPS, CAs, neural nets, and expert systems would penetrate all areas and no area would be immune from eventual exploration; information projects will be done on multiple fronts at once; and most of the work would not be done by computer scientists or Knowledge based people but most likely by those in end-use fields, who see a need and have a more-or-less direct contact with these more theoretical sources of ideas. GPS, neural nets, CAs, Gas, and expert systems are a commodity for everyone to use. Natural language semantic networks will become more available. Simon seems optimistic that semantic networks accuracy will improve, as a he says, “I think our main bottlenecks there today are not in natural language, but in our ability to mount projects big enough to grow the data bases that would be necessary to do a job on the full language with all of its possibilities for metaphor.” ---