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For passionate motorsport fans, the excitement of the race track is only part of the car experience. They are keeping a close eye on how the engineering world is moving rapidly from one race to the next as they pursue accelerated innovation.

The teams they support push the boundaries of R&D by developing vehicles with high adrenaline levels. This shapes not only the racing strategies of the teams, but also the future of driving. Amazon Web Services (AWS) Automotive Industry Senior Application Manager Richard Felton states that the struggle of racing teams to gain superiority over each other in vehicle engineering has been going on for more than a century.

He states that teams are working to develop more aerodynamic designs, more powerful engines and more responsive suspensions. However, today the competition is in a different area: getting more value from data about racing cars.

This determines both the winning teams and the values ​​that the brands sponsoring the races want to achieve. The Artificial Intelligence (AI) models developed by racing teams now potentially constitute the most valuable legacy in motorsport.

Toyota C-HR

The race to turn data into innovation

Winning the last five laps of the iconic 24-hour LeMans race and becoming the new champion of the 2023 FIA World Endurance Championship Toyota GAZOO Racing Europe’s Artificial Intelligence Strategy Leader Dr. “Every time we test drive or race, we get a tremendous amount of data,” said Marc Hilbert. “The reason why the future of racing lies in artificial intelligence is the volume of data collected at this level,” he says.

The World Endurance Championships provide a unique opportunity to support the rapid development of Machine Learning (ML) models and the types of data they can use. Toyota GAZOO Racing team declared its championship with its vehicles taking the first two places in the race held in Bahrain in November. The team uses the Amazon SageMaker ML platform to work through the large amounts of data it obtains from races. This data, collected in different areas from vehicle performance to weather conditions, reveals the best options for optimizing the performance of vehicles in extraordinary situations that may be encountered in motor sports.

Toyota made a huge investment in electric vehicle production

Dr. Regarding the data they collect, Hilbert said, “What we collect is not just data that is measured or observed continuously over a certain period of time, such as temperature indicators. We also collect audio data of the communication between the driver and the pit, as well as images obtained from the video signals inside the vehicle via television. “I think this will lead to a significant wave of innovation in motorsport,” he said.

Toyota GAZOO Racing uses Amazon EC2’s scalable computing infrastructure to achieve such innovations, and the use of this service is not limited to the racing team. Dr. “We use cloud technology from AWS to connect everything we use on the track to our driving simulator,” Hilbert said. In this way, we can test new setups before going to the race, and through these simulations, we can observe how they work and how our drivers feel about these setups. “We benefit from cloud technology at every step of our vehicle development work, from our racing cars to our passenger cars,” he said.

Toyota

Bringing the racing spirit to the highway

Eliminating the distinction between race track and highway lies at the core of Toyota’s approach to motorsport. Thanks to AWS’s cloud services, Machine Learning (ML) models that helped win the 24-hour Le Mans race can also be used by engineers developing Toyota’s next generation passenger vehicles.

Dr. Hilbert said: “Soon after running a simulation at our Toyota GAZOO Racing headquarters in Cologne, our colleagues in Japan can also examine the results and use the parameters obtained from this simulation to apply them to the passenger cars they produce.”

The collaboration of data and artificial intelligence made possible by the AWS cloud service enables Toyota to innovate in three important areas. First, autonomous driving technology and the data it produces are helping to improve how race cars perform in traffic.

AI then optimizes aerodynamics, fuel and tire usage, making both racing and road driving more sustainable. Finally, the simulations used to develop race cars provide customers who want to buy a vehicle with the driving experience developed by Toyota and include them in this experience.

Dr. Hilbert continued: “Artificial intelligence can make driving and racing more accessible and fun. “When people drive Toyota’s vehicles, they will know that the machine learning data in these vehicles is derived from racing, and they will be able to bring the spirit of racing to the highway experience!”

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Artificial Intelligence

Tumblr and WordPress posts will be used in OpenAI trainings

OpenAI continues to develop artificial intelligence models. Here are all the details.

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OpenAI continues to develop artificial intelligence models. Here are all the details.

Tumblr and WordPress will reportedly make deals to sell user data to artificial intelligence companies OpenAI and Midjourney. 404 Media reported that the platforms’ parent company, Automattic, is nearing completion of a deal to provide data that will help AI companies train their models. It is unclear what data will be included. Even private or partner-related data may be ready to be sent, according to a post by Tumblr product manager Cyle Gage. It can be said that it is a surprising move in recent times when privacy and security have come to the fore. Suspicious content reportedly included private posts on public blog posts, deleted or suspended blogs, unanswered questions, private replies, posts flagged as obscene, and content from premium partner blogs.

Tumblr and WordPress posts will be used in OpenAI trainings

It’s unclear whether the data has already been sent to AI companies. Engadget, emailed Automattic to request comment on the report. The company responded with a statement saying, “We will only share public content from sites hosted on WordPress.com and Tumblr that have not opted out.” It may be surprising to learn that the posts and posts you publish on the internet will be used for artificial intelligence training, but it can be said that things work that way now. Because the idea that something on the internet will protect privacy and security is no longer valid. In this case, it can be said that we are all shaping OpenAI artificial intelligence together.

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Artificial Intelligence

Huge Investment of Billion Dollars from Alibaba to Artificial Intelligence

Alibaba, one of China’s leading companies, is making a huge investment of $1 billion in Moonshot AI, an artificial intelligence company founded last year.

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Alibaba, one of China’s leading companies, is making a huge investment of $1 billion in Moonshot AI, an artificial intelligence company founded last year.

The explosion in the field of artificial intelligence last year changed the face of the entire technology world. While artificial intelligence technologies have suddenly become the driving force of the technology world, they have also opened up a very important field of competition. Moreover, this competition occurs not only between companies such as Microsoft and Google, but also between countries. As a matter of fact, the artificial intelligence race between the USA and China has turned into a kind of arms race. Of course, states do not directly exist in this field, but they carry out this competition through the private sector. Alibaba is one of the leading companies conducting this competition in China.

Alibaba artificial intelligence

Alibaba, which has become one of China’s leading companies thanks to its e-commerce platform, offered its own ChatGPT alternative to users last year. However, the company’s work in the field of artificial intelligence was not limited to this. The company, which has made significant breakthroughs in this field since then, is now making another huge investment to strengthen its presence in this field.

The company made a huge investment of $1 billion in China-based start-up Moonshot AI. made. Along with Alibaba, several other investors invested in Moonshot AI, allowing the company, which was founded just a year ago, to increase its value to $2.5 billion. The company launched its ChatGPT-like chatbot called Kimi last year.

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Artificial Intelligence

Failure of Google Gemini Hits Alphabet Shares

The scandal involving Google Gemini was also reflected in the company’s shares. Alphabet, Google’s umbrella company, lost $70 billion in value in one day.

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The scandal involving Google Gemini was also reflected in the company’s shares. Alphabet, Google’s umbrella company, lost $70 billion in value in one day.

American internet giant Google, one of the most important companies in the field of artificial intelligence, had high hopes for Google Gemini, which it hoped would rival ChatGPT. However, Gemini has not had the desired impact so far and has become a source of embarrassment for the company in recent days. The recently added feature of producing images by command to Gemini revealed how problematic the coding of this artificial intelligence actually is. Because Google Gemini went out of its way when it said it would be sensitive to social issues. So much so that Gemini could even openly distort historical facts in order to be sensitive.

For example, when he asked Gemini to show photographs of the founding fathers of the United States, Gemini could depict four black people in a way that had nothing to do with reality. Or when asked for a photo showing Vikings, he would create images of different non-Scandinavian races. All this revealed that there was a serious problem in Gemini’s source code. As a matter of fact, after this feature was introduced, social media was flooded with revelations of such nonsense. This scandal was also reflected in Google shares.

google gemini 2

Shares of Alphabet, the umbrella company that includes Google, gained 4.4 percent in one day. lost. When it comes to a giant company like Alphabet, a 4.4 percent decline has a heavy price. As a matter of fact, with this decline, the company lost 70 billion dollars in value in one day.

The reason for this decline is not only failure in the field of artificial intelligence. Google Gemini created such a scandal that it shook Google’s reputation. So much so that people’s faith in the Google search engine was shaken. Because the results revealed by Gemini were proof that Google was politically biased. This being the case, it would be wrong to think that the company does not exhibit the same biased attitude in search results. As a matter of fact, after the Gemini scandal, this issue was also expressed on social media. This played a significant role in Alphabet’s decline in the stock market.

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