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Industrial Patenting



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The number of patents granted in different industries is varied. In semiconductors, for example, growth was slowest while in computer systems or biotechnology, it was the fastest. The overall technology growth was also slow for pharmaceuticals and biotechnology. This is likely due to industry consolidation and price regulation in many countries. Meanwhile, new drugs have been slow to get FDA approval. These aren't the only issues.

Industrial IoT

Andrew Bright, Managing director at Woodside Capital Partners, discusses the driving forces of Industrial IoT innovation and the tension between OT/IT. He also identifies the key ingredients for a successful IIoT startup. Bright discusses the benefits of IIoT for manufacturing companies, including how it can improve production quality and optimize processes. IIoT allows companies to monitor and verify production quality.

Open innovation

Open innovation is becoming a more important tool to improve productivity and drive growth in the industries. However, companies must decide how to best use this tool. Open innovation can take many forms depending on how mature the implementation is. Here are some examples. Each of these require constant evaluation and collaboration with outside parties. Open innovation aims to bring together ideas from a wider variety of people and organizations.


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Patenting activity

First, we need data on the number or issued patents for each industry to determine how patenting is happening. This indicator can help companies find potential acquisition targets and predict future trends. Patents issued within different industries can also be used for identifying geographical innovation clusters as well as competitors' plans and intentions to file lawsuits. Below, you will see the patenting activity in top 10 U.S. Industries by patent number and in each state.


Concentrations of ICT

ICT investment into services can improve productivity through innovation and directly impact. However, it is not easy to distinguish between the former. This article will examine the impact of ICT investments on the productivity of the industry and the relationship between ICTs and innovation. This study highlights some key trends that are driving ICT-related investment in various industries. ICT is increasingly playing a key role in the digital economy. Globalization has led to increased economic growth and job creation through the use ICT-enabled technologies such as cloud computing.

Biotechnology

The biotechnology sector has become a major producer of many pharmaceuticals, new polymers, enzymes, industrial enzymes, and other energy sources over the last century. Today, the biotechnology industry is thriving, with new innovations increasing the productivity and diversity of its products. The constant elucidation on metabolic pathways has led us to better genetic engineering of production hosts. This has paved the way for biopharmaceutical innovations.

Pharmaceuticals

The pharmaceutical sector is an example industry that has always been innovating. GlobalData will track pharmaceutical innovation and identify it as one of the major disruptive forces for the next decade. The future is bright for companies that invest now. These figures also show the most innovative companies within the sector. Johnson & Johnson was a major innovator during the quarter. They filed 31 patents in March, and 11 patents the same time in 2021.


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Creative industries

Any sector that creates or sells tangible products or intellectual services is called "creative industry". These products and services are symbolic in nature, which is what makes them valuable. This industry has high levels of innovation and entrepreneurship potential. A dominantly symbolic knowledge base contributes to its strength. Here we will explore the role that social networks play in ensuring success. And we'll see how these networks contribute to creative industries innovation. We'll take a closer look into each of these factors.


An Article from the Archive - Take me there



FAQ

AI: Good or bad?

AI can be viewed both positively and negatively. On the positive side, it allows us to do things faster than ever before. We no longer need to spend hours writing programs that perform tasks such as word processing and spreadsheets. Instead, we ask our computers for these functions.

People fear that AI may replace humans. Many believe that robots may eventually surpass their creators' intelligence. This could lead to robots taking over jobs.


Is Alexa an AI?

Yes. But not quite yet.

Amazon created Alexa, a cloud based voice service. It allows users use their voice to interact directly with devices.

The Echo smart speaker was the first to release Alexa's technology. However, since then, other companies have used similar technologies to create their own versions of Alexa.

These include Google Home, Apple Siri and Microsoft Cortana.


What is the future of AI?

The future of artificial intelligent (AI), however, is not in creating machines that are smarter then us, but in creating systems which learn from experience and improve over time.

So, in other words, we must build machines that learn how learn.

This would involve the creation of algorithms that could be taught to each other by using examples.

It is also possible to create our own learning algorithms.

You must ensure they can adapt to any situation.


AI: What is it used for?

Artificial intelligence (computer science) is the study of artificial behavior. It can be used in practical applications such a robotics, natural languages processing, game-playing, and other areas of computer science.

AI can also be called machine learning. This refers to the study of machines learning without having to program them.

There are two main reasons why AI is used:

  1. To make our lives easier.
  2. To do things better than we could ever do ourselves.

Self-driving car is an example of this. We don't need to pay someone else to drive us around anymore because we can use AI to do it instead.



Statistics

  • A 2021 Pew Research survey revealed that 37 percent of respondents who are more concerned than excited about AI had concerns including job loss, privacy, and AI's potential to “surpass human skills.” (builtin.com)
  • In 2019, AI adoption among large companies increased by 47% compared to 2018, according to the latest Artificial IntelligenceIndex report. (marsner.com)
  • While all of it is still what seems like a far way off, the future of this technology presents a Catch-22, able to solve the world's problems and likely to power all the A.I. systems on earth, but also incredibly dangerous in the wrong hands. (forbes.com)
  • The company's AI team trained an image recognition model to 85 percent accuracy using billions of public Instagram photos tagged with hashtags. (builtin.com)
  • By using BrainBox AI, commercial buildings can reduce total energy costs by 25% and improves occupant comfort by 60%. (analyticsinsight.net)



External Links

forbes.com


en.wikipedia.org


mckinsey.com


medium.com




How To

How do I start using AI?

Artificial intelligence can be used to create algorithms that learn from their mistakes. The algorithm can then be improved upon by applying this learning.

If you want to add a feature where it suggests words that will complete a sentence, this could be done, for instance, when you write a text message. It would take information from your previous messages and suggest similar phrases to you.

The system would need to be trained first to ensure it understands what you mean when it asks you to write.

To answer your questions, you can even create a chatbot. So, for example, you might want to know "What time is my flight?" The bot will tell you that the next flight leaves at 8 a.m.

Take a look at this guide to learn how to start machine learning.




 



Industrial Patenting