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Education is Rewarding Generative AI with High Marks

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Education is Rewarding Generative AI with High Marks

In order to serve instructors, students, and the future, generative AI is teaching new ways to enrich, broaden, and streamline educational processes.

“Education is the most powerful weapon which you can use to change the world,” said Nelson Mandela.

Future depends heavily on educators and educational opportunities. By imparting knowledge, encouraging critical thinking, supervising parents, and nurturing children, educators prepare the next generation of thinkers.

At the same time, there is a growing risk of widespread teacher shortages as educators deal with an increasingly challenging professional challenge. They frequently feel overworked and undersupported. On the other hand, expanding educational opportunities and bolstering the position of educators are essential to our future. It’s possible that generative AI and AI in general have just arrived as that strength and much-needed assistance.

Here are some ways that generative AI and AI in general can support education, benefiting educators as well as students and, eventually, enhancing our future as a whole:

The Aide to The Teacher

Teachers frequently have to mark assignments and homework after school hours after spending the entire day in the classroom. The grading of numerous assignments and tests can be automated using generative AI, which can reduce some of that workload. Grading can be automated with generative AI, freeing up teachers’ time for other tasks while students receive their grades promptly.

Teachers can also create instructional content with the aid of generative AI. Various forms, such as text, pictures, and simulations, can be customized to fit various subjects and learning styles, making instruction more successful for teachers.

More Intelligent Education

Students acquire knowledge on a variety of topics at varying rates and in a variety of ways. With the use of generative AI, teachers can assess students’ current proficiency levels and adapt lesson plans to suit their demands and speed. This maintains students’ engagement and challenge levels appropriately. Put differently, by creating customized learning paths for each learner, generative AI can maximize learning.

Student Assistance

Do you have any memories of not understanding the material being taught in school? This is beginning to change as a result of generative AI, which gives students more options to improve their comprehension and learning.

AI-driven chatbots, for instance, can help students by providing answers to inquiries on study guides, subjects, and classes. AI can also interact with pupils as a virtual tutor or teacher, offering extra assistance outside of the conventional classroom.

Artificial intelligence (AI) and generative AI can be used to summarize large amounts of instructional content, which will improve knowledge retention, make subject-matter concepts easier to understand, and save students time. Furthermore, students can use generative AI as a research helper. Students can expedite comprehension and progress research work by synthesizing pertinent data and producing insights.

Innovative Approaches to Education

Although the traditional classroom is probably here to stay, generative AI models are giving rise to new learning tools that complement classroom settings. For pupils, for instance, realistic digital simulations and virtual laboratories might be made. Students can experiment in safe but demanding environments with hands-on, iterative learning through these simulations and labs. This is particularly useful for science and engineering courses.

Recursive artificial intelligence also produces language learning platforms. For language arts students, the platforms offer authentic dialogues, pronunciation guidance, and assignments tailored to the language.

Watch-outs

There is also a list of potential red flags that need to be managed in addition to this extensive and lovely list of educational benefits associated with AI and generative AI. Teachers are concerned that students may misuse technology or skip over the critical thinking and problem-solving portions of the curriculum. Additionally, when using technology to teach pupils, there is an inherent risk of data breaches, outages, and a lack of empathy and human emotion. Plagiarism, prejudice, and false information are additional hazards that are frequently inadvertent. To fully realize the promise that artificial intelligence (AI) and generative AI have for improving education and assisting educators and students, educational rules and safeguards are required.

How IT directors implement generative AI in their institutions is another area of great concern. Because AI and generative AI have extremely different data and IT needs than traditional technology, many institutions are currently stuck in a loop. To manage AI workloads and process unstructured data in real-time, users need to invest in the appropriate storage infrastructure. There is no short path to AI-capable data storage—it is a must for progress. Conventional data storage solutions aren’t designed to meet these increasing demands. Traditional storage systems will cause a “final mile” halt in AI and generative AI deployments if they are not addressed.

AI workloads and data requirements are taken into consideration while designing modern storage systems. Distributed storage, effective data indexing, and data compression are examples of capabilities that provide the speed and scale needed for AI applications.

A Golden Star

AI and generative AI have a lot to offer educators and the education sector, and they arrive at a critical juncture in the sector’s evolution when fresh approaches are required. Generative AI, however, won’t get all A’s right away. To guarantee appropriate use, barriers and rules are required. Additionally, businesses must update their storage options to ensure that their IT infrastructure can handle unstructured data for AI workloads in real time. After that, I’m willing to wager that generative AI will be able to achieve a gold star in the field of education.

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Biden, Kishida Secure Support from Amazon and Nvidia for $50 Million Joint AI Research Program

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As the two countries seek to enhance cooperation around the rapidly advancing technology, President Joe Biden and Japanese Prime Minister Fumio Kishida have enlisted Amazon.com Inc. and Nvidia Corp. to fund a new joint artificial intelligence research program.

A senior US official briefed reporters prior to Wednesday’s official visit at the White House, stating that the $50 million project will be a collaborative effort between Tsukuba University outside of Tokyo and the University of Washington in Seattle. A separate collaborative AI research program between Carnegie Mellon University in Pittsburgh and Tokyo’s Keio University is also being planned by the two nations.

The push for greater research into artificial intelligence comes as the Biden administration is weighing a series of new regulations designed to minimize the risks of AI technology, which has developed as a key focus for tech companies. The White House announced late last month that federal agencies have until the end of the year to determine how they will assess, test, and monitor the impact of government use of AI technology.

In addition to the university-led projects, Microsoft Corp. announced on Tuesday that it would invest $2.9 billion to expand its cloud computing and artificial intelligence infrastructure in Japan. Brad Smith, the president of Microsoft, met with Kishida on Tuesday. The company released a statement announcing its intention to establish a new AI and robotics lab in Japan.

Kishida, the second-largest economy in Asia, urged American business executives to invest more in Japan’s developing technologies on Tuesday.

“Your investments will enable Japan’s economic growth — which will also be capital for more investments from Japan to the US,” Kishida said at a roundtable with business leaders in Washington.

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OnePlus and OPPO Collaborate with Google to Introduce Gemini Models for Enhanced Smartphone AI

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As anticipated, original equipment manufacturers, or OEMs, are heavily integrating AI into their products. Google is working with OnePlus, OPPO, and other companies to integrate Gemini models into their smartphones. They intend to introduce the Gemini models on smartphones later this year, becoming the first OEMs to do so. Gemini models will go on sale later in 2024, as announced at the Google Cloud Next 24 event. Gemini models are designed to provide users with an enhanced artificial intelligence (AI) experience on their gadgets.

Customers in China can now create AI content on-the-go with devices like the OnePlus 12 and OPPO Find X7 thanks to OnePlus and OPPO’s Generative AI models.

The AI Eraser tool was recently made available to all OnePlus customers worldwide. This AI-powered tool lets users remove unwanted objects from their photos. For OnePlus and OPPO, AI Eraser is only the beginning.

In the future, the businesses hope to add more AI-powered features like creating original social media content and summarizing news stories and audio.

AndesGPT LLM from OnePlus and OPPO powers AI Eraser. Even though the Samsung Galaxy S24 and Google Pixel 8 series already have this feature, it is still encouraging to see OnePlus and OPPO taking the initiative to include AI capabilities in their products.

OnePlus and OPPO devices will be able to provide customers with a more comprehensive and sophisticated AI experience with the release of the Gemini models. It is important to remember that OnePlus and OPPO already power the Trinity Engine, which makes using phones incredibly smooth, and use AI and computational mathematics to enhance mobile photography.

By 2024, more original equipment manufacturers should have AI capabilities on their products. This is probably going to help Google because OEMs will use Gemini as the foundation upon which to build their features.

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Meta Explores AI-Enabled Search Bar on Instagram

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In an attempt to expand the user base for its generative AI-powered products, Meta is moving forward. The business is experimenting with inserting Meta AI into the Instagram search bar for both chat with AI and content discovery, in addition to testing the chatbot Meta AI with users in nations like India on WhatsApp.

When you type a query into the search bar, Meta AI initiates a direct message (DM) exchange in which you can ask questions or respond to pre-programmed prompts. Aravind Srinivas, CEO of Perplexity AI, pointed out that the prompt screen’s design is similar to the startup’s search screen.

Plus, it might make it easier for you to find fresh Instagram content. As demonstrated in a user-posted video on Threads, you can search for Reels related to a particular topic by tapping on a prompt such as “Beautiful Maui sunset Reels.”

Additionally, TechCrunch spoke with a few users who had the ability to instruct Meta AI to look for recommendations for Reels.

By using generative AI to surface new content from networks like Instagram, Meta hopes to go beyond text generation.

With TechCrunch, Meta verified the results of its Instagram AI experiment. But the company didn’t say whether or not it uses generative AI technology for search.

A Meta representative told TechCrunch, “We’re testing a range of our generative AI-powered experiences publicly in a limited capacity. They are under development in varying phases.”

There are a ton of posts available discussing Instagram search quality. It is therefore not surprising that Meta would want to enhance search through the use of generative AI.

Furthermore, Instagram should be easier to find than TikTok, according to Meta. In order to display results from Reddit and TikTok, Google unveiled a new perspectives feature last year. Instagram is developing a feature called “Visibility off Instagram” that could allow posts to appear in search engine results, according to reverse engineer Alessandro Paluzzi, who made this discovery earlier this week on X.

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