Posted on 04/16/2023 8:04:14 PM PDT by FarCenter
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So we’re caught up on the furor over ChatGPT, the most widely publicized information on the subject of AI in Japan – but in the process that furor has distracted us from more significant applications across a range of industries. Examples include:
Pharmaceuticals: Astellas Pharma has created a cellular drug discovery platform integrating humans, AI and robotics that it claims can shorten the time of drug candidate compounds acquisition by approximately 70% in successful cases. It is now being used in a joint research project with the Center for iPS Cell Research and Application of Kyoto University to “promote the utilization of differentiated cells and tissues derived from human induced pluripotent stem cells (iPS cells) and to create innovative medical solutions.”
Regenerative medicine: Canon plans to apply its deep-learning neural network for image processing to regenerative medicine following its acquisition of the high-speed cell cultivation system technology of Kyoto Seisakusho (scheduled to be completed in May).
Factory worker support: Hitachi has developed a “real-time work deviation detection” system based on deep learning that reduces inefficiencies resulting from the interaction of humans and machines in highly automated factories. The company is also using neural networks to improve fault detection in complex industrial and infrastructure equipment, systems and networks. Once primarily an industrial hardware conglomerate, Hitachi is now applying digital technology to everything it does.
Supply chain logistics: Hitachi has also developed algorithms to maximizing the efficiency of complex supply chain networks involving multiple factories, warehouses and shops linked by land, sea and air. This includes production scheduling, inventory management and delivery route efficiency maximization.
Quality Control: NEC uses machine learning to standardize and speed up product inspections, saving time once spent on visual inspection and improving accuracy through objective data analysis. NEC also uses automated real-time analysis of temperature, vibration, pressure, voltage, flow rate and other data from sensors to monitor power generation facilities. This “enables anomalies to be detected at an early symptom stage, including subtle anomalies which would not be noticed even by inspection experts.”
Industrial Cyber Security: Fujitsu provides services ranging from the assessment of a manufacturer’s operational technology to cyber security system design and implementation, continuous monitoring, incident investigation and system upgrades. Based on data analytics, they derive from Fujitsu’s own experience as a producer of computing and communications equipment.
Embedded systems: Semiconductor maker Renesas has put artificial intelligence on embedded systems (e-AI) in order to run inference on its MCUs, MPUs and AI accelerators. This enables real-time processing without the network delay inherent in cloud computing. Applications include factory automation monitoring (to deal with, for example, abnormal vibration), automated system device coordination and motor control or other failure prediction.
Semiconductor metrology: Hitachi is applying deep learning to critical dimension scanning electron microscopy (CD-SEM) in order to more precisely measure defects in high-aspect-ratio holes in 3D semiconductor devices (e.g., NAND flash memory) after etching and thereby improve process control. Hitachi also makes etch equipment.
The list goes on and on, covering healthcare, traffic control, waste management, wind turbine performance – anything that requires the processing of enormous amounts of data. All of this is way past ChatGPT, although that doesn’t mean that it might not take your job.
This is why Japan does not need immigration, despite the constant rantings of the globalist left.
An intelligence not encumbered by delusional thinking, amnesia, tunnel vision, political agendas, habits, fear, inaccurate estimates, peer pressure and having a bad day. What’s not to like?
I find it amazing that AI can now create art in mere seconds. The programs are still crude and often miss the point of what you wanted it to create but with a few cuts and pastes it works out pretty good.
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I think the potential benefits from AI outweigh the potential downsides. Musk says that AI could lead to the extinction of mankind. You can say that about a lot of things, eg. the a-bomb, medical research, global warming, asteroids, etc. I think the likelihood that AI will destroy mankind is well down the list of possibilities, and in any event, not in the near term. In the meantime, there are a lot of benefits to be had from it. We just need to manage the risks.
The main question is how many jobs it will eliminate, versus how many new jobs will be created as a result of AI.
I suppose art is art irrespective of who or what the artist is. But I wonder if a sculpture chiseled by a computer is really of any value? Isn’t the point of art the celebration of humanity? If it has no value to a human, then what is the point of it? For the benefit and admiration of computers?
Similarly, I don’t know if it would make any sense to have robots that play baseball. Or robots that have sex with each other.
There are somethings that AI just can’t do.
I think it will eliminate some jobs and create others. And the new ones will be more productive than the ones that are eliminated. It’s the pattern of all technological change throughout history.
AI may be regulated or limited when used in consumer-facing applications.
But I don’t think there is any chance of slowing its application internally in major corporations. They already run server farms with 10s of thousands of servers and have the R&D chops to start deploying AI wherever they can reduce costs or increase revenues. As the article makes clear, if US corporations don’t do it, they will be at a disadvantage to corporations in other countries.
I agree entirely. I don’t have a problem with telling the social networks they can’t expand its use though. The social networks don’t need any more encouragement, and they are hogging the AI experts.
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