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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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Apple has revealed a revamped Mac Mini with an M4 chip

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A smaller but no less powerful Mac Mini was recently unveiled by Apple as part of the company’s week of Mac-focused announcements. It now has Apple’s most recent M4 silicon, enables ray tracing for the first time, and comes pre-installed with 16GB of RAM, which seems to be the new standard in the age of Apple Intelligence. While the more potent M4 Pro model starts at $1,399, the machine still starts at $599 with the standard M4 CPU. The Mac Mini is available for preorder right now and will be in stores on November 8th, just like the updated iMac that was revealed yesterday.

The new design will be the first thing you notice. The Mini has reportedly been significantly reduced in size, although it was already a comparatively small desktop computer. It is now incredibly small, with dimensions of five inches for both length and width. Apple claims that “an innovative thermal architecture, which guides air to different levels of the system, while all venting is done through the foot” and the M4’s efficiency are the reasons it keeps things cool.

Nevertheless, Apple has packed this device with a ton of input/output, including a 3.5mm audio jack and two USB-C connections on the front. Three USB-C/Thunderbolt ports, Ethernet, and HDMI are located around the back. Although the USB-A ports are outdated, it’s important to remember that the base M2 Mini only featured two USB-A connectors and two Thunderbolt 4 ports. You get a total of five ports with the M4. You get an additional Thunderbolt port but lose native USB-A.

Depending on the M4 processor you select, those Thunderbolt connectors will have varying speeds. While the M4 Pro offers the most recent Thunderbolt 5 throughput, the standard M4 processor comes with Thunderbolt 4.

With its 14 CPU and 20 GPU cores, the M4 Pro Mac Mini also offers better overall performance. The standard M4 can have up to 32GB of RAM, while the M4 Pro can have up to 64GB. The maximum storage capacity is an astounding 8TB. Therefore, even though the Mini is rather little, if you have the money, you can make it really powerful. For those who desire it, 10 gigabit Ethernet is still an optional upgrade.

Apple has a big week ahead of it. On Monday, the company released the M4 iMac and its first Apple Intelligence software features for iOS, iPadOS, and macOS. (More AI functionality will be available in December, such as ChatGPT integration and image production.) As Apple completes its new hardware, those updated MacBook Pros might make their appearance tomorrow. The business will undoubtedly highlight its newest fleet of Macs when it releases its quarterly profits on Thursday.

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Apple Intelligence may face competition from a new Qualcomm processor

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The new chip from Qualcomm (QCOM) may increase competition between Apple’s (AAPL) iOS and Android.

During its Snapdragon Summit on Monday, the firm unveiled the Snapdragon 8 Elite Mobile Platform, which includes a new, second-generation Oryon CPU that it claims is the “fastest mobile CPU in the world.” According to Qualcomm, multimodal generative artificial intelligence characteristics can be supported by the upcoming Snapdragon platform.

Qualcomm, which primarily creates chips for mobile devices running Android, claims that the new Oryon CPU is 44% more power efficient and 45% faster. As the iPhone manufacturer releases its Apple Intelligence capabilities, the new Snapdragon 8 platform may allow smartphone firms compete with Apple on the AI frontier. Additionally, Apple has an agreement with OpenAI, the company that makes ChatGPT, to incorporate ChatGPT-4o into the upcoming iOS 18, iPadOS 18, and macOS Sequoia.

According to a September Wall Street Journal (NWSA) story, Qualcomm is apparently interested in purchasing Intel (INTC) in a deal that could be valued up to $90 billion. According to Bloomberg, Apollo Global Management (APO), an alternative asset manager, had also proposed an equity-like investment in Intel with a potential value of up to $5 billion.

According to reports, which cited anonymous sources familiar with the situation, Qualcomm may postpone its decision to acquire Intel until after the U.S. presidential election next month. According to the persons who spoke with Bloomberg, Qualcomm is waiting to make a decision on the transaction because of the possible effects on antitrust laws and tensions with China after the election results.

According to a report from analysts at Bank of America Global Research (BAC), Qualcomm could expand, take the lead in the market for core processor units, or CPUs, for servers, PCs, and mobile devices, and get access to Intel’s extensive chip fabrication facilities by acquiring Intel. They went on to say that Qualcomm would become the world’s largest semiconductor company if its $33 billion in chip revenue were combined with Intel’s $52 billion.

The experts claimed that those advantages would be outweighed by the financial and regulatory obstacles posed by a possible transaction. They are dubious about a prospective takeover and think that Intel’s competitors may gain from the ambiguity surrounding the agreement.

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iPhone 16 Pro Users Report Screen Responsiveness Issues, Hope for Software Fix

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Many iPhone 16 Pro and iPhone 16 Pro Max users are experiencing significant touchscreen responsiveness problems. Complaints about lagging screens and unresponsive taps and swipes are particularly frustrating for customers who have invested $999 and up in these devices.

The good news is that initial assessments suggest the issue may be software-related rather than a hardware defect. This means that Apple likely won’t need to issue recalls or replacement units; instead, a simple software update could resolve the problem.

The root of the issue might lie in the iOS touch rejection algorithm, which is designed to prevent accidental touches. If this feature is overly sensitive, it could ignore intentional inputs, especially when users’ fingers are near the new Camera Control on the right side of the display. Some users have reported that their intended touches are being dismissed, particularly when their fingers are close to this area.

Additionally, the new, thinner bezels on the iPhone 16 Pro compared to the iPhone 15 Pro could contribute to the problem. With less protection against accidental touches, the device may misinterpret valid taps as mistakes, leading to ignored inputs.

This isn’t the first time Apple has faced challenges with new iPhone models. For instance, the iPhone 4 experienced “Antennagate,” where signal loss occurred depending on how the device was held, prompting Steve Jobs to famously suggest users hold their phones differently. Apple eventually provided free rubber bumpers to mitigate the issue.

To alleviate the touchscreen problem, using a case might help by covering parts of the display and reducing the chances of accidental touches triggering the rejection algorithm. The issue appears on devices running iOS 18 and the iOS 18.1 beta and does not occur when the phone is locked. Users may notice difficulties when swiping through home screens and apps.

Many are hopeful that an upcoming iOS 18 update will address these issues, restoring responsiveness to the iPhone 16 Pro and iPhone 16 Pro Max displays.

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