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Researcher Developing Smart Chips to Address Battery Safety

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Battery development firm KVI is working on smart chips to improve the safety and performance of lithium-ion batteries, used in many devices today from electric vehicles to smartphones. (GETTY IMAGES)

By AI Trends Staff

The number one issue in lithium-ion batteries powering products from e-bikes and power tools for consumers, to self-driving cars and submarines, is to enhance battery safety, Dr. Rachid Yazami told an audience at the virtual International Battery Seminar from Cambridge EnerTech this week.

Dr. Yazami, founder of Singapore startup KVI, which is developing smart chips to enhance battery performance and safety, is known for his critical role in the development of lithium-ion batteries. In a talk on whether AI can help address battery issues, he outlined the challenges in a battery market that is projected to reach $35 billion in value by 2025. “The market is growing very fast,” he said.

Dr. Rachid Yazami, founder of KVI and contributor to development of the lithium-ion battery

Short circuits in lithium-ion batteries are caused when a thin slip of polypropylene that keeps electrodes from touching is breached, so that the electrodes come in contact and generate heat and possibly fire.

“We don’t want to see vehicles and mobile phones catching fire,” Dr. Yazami said. “These things we have to address very seriously. A lot of progress has been made, especially in increasing the quality of the batteries.”

Additional challenges include: reducing charging time currently ranging from 1.5 to eight hours for an electric vehicle depending on the battery, to less than one hour and even 30 minutes; increasing the driving range from 250 km to 500 km (150 to 300 miles) currently, to 900 km (560 miles); and extending the battery service life, currently at about two years, to 10 years.

In its work to address these challenges, KVI has developed two kinds of chips, one that combines material science with AI to “manage the battery performance in smarter ways,” and the other that helps to manage a new protocol for fast charging. Eventually the chips may be combined, “to get all the advantages.”  Dr. Yazami will be looking for manufacturers to embed the chips in new batteries once they are available,  which he estimated would be in 12 to 18 months.  “We already have working prototypes for ultrafast battery chargers,” he said in response to a question from AI Trends.

The fast-charging chip can measure data on entropy, a property of a thermodynamic system, to assess the state of the battery and of its safety. “We can adapt the charging protocol according to the state of charge of the battery, Dr. Yazami said. “We use the AI to optimize the data processing and the protocols we use to charge the battery,” allowing for optimal charging, not more than the battery can take. The system continues to learn as the battery is used and is aging.

One of the biggest reasons for fires in lithium-ion batteries are internal short circuits, “which happen when the separator breaks or there is a hot spot and it melts,” Dr Yazami said. “That can trigger events that end in a thermal runaway, sometimes fire and explosions.” Detecting this thermal runaway at an early stage is very difficult.

“We have developed some technology to detect it at a very early stage,” he said. He has found a linear relationship between battery entropy, charted on the Y axis, and battery enthalpy, a thermodynamic quantity equal to the total heat content of the system, on the X axis. “We have found very specific cell voltages where we can trigger an alarm.” This allows the researchers to adjust the charging voltages based on the state of health of the battery, using AI to help. “We are developing the software to follow the battery as it is aging.”

The team has also developed a non-linear fast charging solution, in which current and voltage is not constant, but adapts to the battery.

“We have developed solutions based on AI and thermodynamics data to monitor the state of battery safety,” Dr. Yazami said.

Asked by another researcher how he measures entropy and enthalpy for state of charge (SoC) detection, Dr. Yazami said the linear relationship depends on the chemistry and state of health of the battery. ”The linear coefficients evolve as the battery ages. The AI enables prediction of the coefficients to determine the state of health of the battery,” he said.

Learn more about Dr. Rachid Yazami.

Source: https://www.aitrends.com/ai-research/researcher-developing-smart-chips-to-address-battery-safety/

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Impacts of Artificial Intelligence in Content Writing

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Artificial intelligence has transformed the content-writing industry because most things are done by artificial intelligence when writing content today. Many publishers use artificial intelligence to generate their content, for example, The Press Association creates about 30,000 local stories through artificial intelligence.

“If you think that this is done by formula writing, you are wrong, because the AI has gone beyond formulating and is now creating sensible written content.” 

Whether you are a content writer or have a content writer team, writing content is not an easy task, especially if you have limited time. There are also many other tasks such as keyword research, optimization, proofreading, uploading and publishing.

Now, all these tasks take time and effort, but what if there is a machine that does these tasks automatically for you?

In this article, you will learn more about how AI works and some of its applications in the content writing industry.

How AI Content Writer works

There are various technologies in AI Content Writer, the most important of which is Natural Language Generator (NLG). NLG automatically generates the narrative written content from the data you have provided, i.e. titles, key points.

NLG will be responsible for various tasks for writing content such as

  • Data analysis and reporting
  • Automatic e-mails
  • Financial update system
  • Automatic communication between user and system
  • Business intelligence dashboards
  • Business intelligence dashboards

These are only the most common and popular, but numerous other applications are used in different industries.

However, we have sorted out some of the popular AI-based tools available online to help content creators.

  • Plagiarism checker

Every author of the content knows the importance of plagiarism and the side effects of its use in publications. Artificial intelligence has made it easier to check for plagiarism in your content because without it, it seems impossible to verify copied content.

The plagiarism AI checks your article and compares it to all other content to find similarities. However, the modern AI of some tools is also able to detect the paraphrased context in your article, as CopyScape’s plagiarism check does.

The above tool is a very accurate gauge of the appropriate content, as it searches all content in search engines, including descriptions on social media and YouTube. If your content has any twisted content, it will detect it.

  • Grammar Checker

“There was a time when authors had to hire proofreaders to find bugs in their content, but now the trend has changed: the AI-based tools automatically detect the bugs and suggest you correct them.” 

Grammar checkers like Grammarly only take seconds to detect grammatical errors and some other content errors. It uses its AI technology to find all tenses, spelling, interference, clarity and output errors.

In this way, the tool could be more efficient than a human because it only takes seconds and does not need any revision. Some of the modern artificial intelligence in this tool help improve the integration, clarity and execution of sentences.

  • Paraphrasing Tool 

The paraphrasing tool is another example of an AI-based tool that works more efficiently than a human. The online rephrasing tool works by replacing the words with their suitable synonyms to create a new copy of the original content.

As an example of how it works, we can take the paraphrasing tool from Prepostseo. This tool is very fast and precise as it uses its AI-based technology Natural Language Processing NLP to replace the words but keeps the actual meaning of the context.

  • Image to Text Converter 

This online tool uses AI to convert the uploaded image into text that can be used for any purpose. This tool is useful for students, teachers, business people and writers as they need to convert previously written work into editable documents.

For example, Simple OCR’s picture-to-text tool uses the AI-based Optical Character Recognition OCR technology to extract the text from the image. This tool is beneficial for converting documents that need to be converted into some modifications, and you don’t need to rewrite the entire context.

  • AI article generator

“This is also called a virtual content writer because it generates the article independently without human interaction and writes the content automatically with the support of the AI” 

Article Forge’s article generator is a very amazing tool that not only creates context but also makes it suitable for SEO, foreign exchange, review, editing and proofreading your article.

  • Reverse Image Text

Sometimes you need to search for a query about a similar image or similar information through an image. There are some tools on the Internet known as reverse image text that perform the aforementioned operations.

The user uploads the image and the tool looks for the relative result over the image and in this way, you can get what you want. As an example, we can take the tool called Tin eye, which helps to browse the data within seconds by uploading images.

  • Optimizer Checker

If you are a writer or SEO specialist, you may know the importance of text optimization. Text optimization is described as improving your performance in the context of improving readability.

The writing performance check tools are based on artificial intelligence because it analyses the article and generates a score accordingly.

  • Readability Analyzer

The author can write the content in an easily understandable way and this is one of the needs of SEO guidelines for search engines.

The tools that generate the readability value analyze your text and see the reading behaviour according to the human. 

Conclusion 

The content writing quite becomes difficult when trying to escape plagiarism or low-quality writing but the AI has changed this practice. Now, the time efficiency has gone more far after the AI has started generating articles on its own. 

If you are a writer and want to check the quality of your writing then AI will let you know your position. It is expected that AI will be enough in the future to replace humans for writing the content. 

Also, Read How Artificial Intelligence is Transforming Education

Source: https://www.aiiottalk.com/artificial-intelligence/ai-in-content-writing/

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How chatbots add value in the financial industry

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In the world of technology, the first big leap was reached, and it was bringing the web to the mobile. Now the next one should take place, bringing the mobile to the conversation. At this stage, it can be stated that the first generation of chatbots in the financial industry has not yet convinced the majority of customers. However, the better the technology becomes, the more banks provide a wide range of roles and functionalities for these virtual assistants. The simple question and answer programs available today will transform themselves into intelligent conversational partners who can help customers to manage their financial businesses. Accordingly, financial institutions expect that more and more customers are managing their financial businesses by using chat services such as Facebook Messenger and WhatsApp.

Number of chatbots and websites

The development of sophisticated chatbots and their widespread acceptance by the consumers could take several more years. As soon as it happens, however, the idea of managing finances without a bot will be like trying to imagine life without a smartphone. Most of the FinTech start-ups are already one step ahead and it is time to catch up for traditional financial institutions. Bot and artificial intelligence (AI) technology provide finance services the tools they need to improve the customer experience, streamline the compliance process and lower costs.

Improvement of customer experience

These days, organizations have a lot of opportunities to meet and interact with their customers. There are sufficient communication channels such as Facebook Messenger, e-mail newsletter, SMS and mobile apps that companies can use to engage with their customers or promote their products and services. The most important aspect to consider is how to use these various communication channels to ensure that businesses get more value out of each one. On the one hand, it is difficult to manage the entire process, even more for financial institutions as their structures are more complicated. On the other hand, customers are more and more looking for exceptional services from their banks and also want a highly personalized experience where banks are able to remember their preferences, monitor their expenditures and advise on savings.

Customer satisfaction from one platform approach

Organizations can simplify the process by using bots while they are not required to develop or modify their services for each communication channel. Besides, they have the ability to gather information about the audience that helps financial institutions create a personalized customer experience. Furthermore, in general, customer service agents can only support one person at a time whereby chatbots can support thousands of customers at the same time. Thus, agents can devote themselves to more complex tasks. On the whole, these bots can provide excellent services and experience to customers, resulting in higher customer satisfaction and revenue growth and this 24/7.

Revenue opportunities & lower service costs

Not only the existing processes are optimized, but new business ways are also being opened up that increase the opportunity for revenue growth. A business can receive significant web traffic due to online advertising expenditures. However, it may not be converted into tangible sales. Nonetheless, by implementing a chatbot, a customer gets prompted when browsing something specific, even if the user has no intention to buy. It is not only the advertisement but also the virtual consultation regarding offered products and services that add value for customers. All this, around the clock one can offer at no additional cost. At this stage, it can be stated that this marketing and sales strategy can increase the revenue and at the same time lower the service cost.

Source: https://chatbotslife.com/how-chatbots-add-value-in-the-financial-industry-84e49025acd5?source=rss—-a49517e4c30b—4

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Why Data & Data Annotation Make or Break AI

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Ashely John

1. Conversational AI: Code/No Code

2. Chatbots 2.0: Simplifying Customer Service with RPA and AI

3. Question Answering on Medical conversation

4.Automating WhatsApp with NLP: Complete guide

Source: https://chatbotslife.com/why-data-data-annotation-make-or-break-ai-5f7e87d0cc45?source=rss—-a49517e4c30b—4

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