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Future Tech focuses on AI for PCs in partnership with Dell

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Dell Technologies Inc. has entered the artificial intelligence era with the spirit of collaboration, and Future Tech Enterprise Inc. is happy to be on that bandwagon. Future Tech’s partnership with Dell is still going strong, building off of Dell’s AI Factory and AI studio to offer more advanced IT solutions.

Future Tech’s Bob Venero talks with theCUBE about the company’s collaboration with Dell.

“We’re working with Dell on taking an AI factory and making it an AI proving ground,” said Bob Venero (pictured), president and chief executive officer of Future Tech Enterprise Inc. “We’re going to say, ‘What are the use cases you’re trying to do?’ We’re going to test it, we’re going to vet it, and then based on the success of what we do … you’re going to consume it.”

Venero spoke with theCUBE’s Savannah Peterson and Jackie McGuire at Dell Technologies World, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed Future Tech and Dell’s collaboration. (* Disclosure below.)

Future Tech drives on-prem AI with smarter PCs

The age of AI may give rise to a legion of intelligent personal computers, according to Venero. With Dell, Future Tech aims to make running AI models on a PC ecosystem as easy as possible for customers.

“Taking that PC and enabling it to do more, to being intelligent, to having a [graphics processing unit], a [neural processing unit] and a [central processing unit], and having the ability to do more of those things at the edge and empower the people to be even better and stronger,” Venero said. “We’re seeing a lot of thought  and adoption around how do we empower at the edge?”

Doing AI on the edge and on-premises has become a growing trend, with a large number of executives moving their data off the cloud. Venero sees on-prem AI solutions as the more secure option, protecting essential data from the dangers of hacking and outages.

“If it’s $2, put it in the cloud,” he said. “If it’s a million dollars a minute, keep it on-prem. Build your guardrails around it. Secure your data and your information because if that goes down, and it will, in the cloud, there will be an outage, then what are you going to do?”

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of Dell Technologies World:

(* Disclosure: Future Tech Enterprise sponsored this segment of theCUBE. Neither Future Tech nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE


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Colleges should go ‘medieval’ on students to beat AI cheating, NYU official says

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Educators have been struggling over how students should or should not use artificial intelligence, but one New York University official suggests going old school—really, really old school.

In a New York Times op-ed on Tuesday, NYU’s vice provost for AI and technology in education, Clay Shirky, said he previously had counseled more “engaged uses” of AI where students use the technology to explore ideas and seek feedback, rather than “lazy AI use.”

But that didn’t work, as students continued using AI to write papers and skip the reading. Meanwhile, tools meant to detect AI cheating produce too many false positives to be reliable, he added.

“Now that most mental effort tied to writing is optional, we need new ways to require the work necessary for learning,” Shirky explained. “That means moving away from take-home assignments and essays and toward in-class blue book essays, oral examinations, required office hours and other assessments that call on students to demonstrate knowledge in real time.”

Such a shift would mark a return to much older practices that date back to Europe’s medieval era, when books were scarce and a university education focused on oral instruction instead of written assignments.

In medieval times, students often listened to teachers read from books, and some schools even discouraged students from writing down what they heard, Shirky said. The emphasis on writing came hundreds of years later in Europe and reached U.S. schools in the late 19th century.

“Which assignments are written and which are oral has shifted over the years,” he added. “It is shifting again, this time away from original student writing done outside class and toward something more interactive between student and professor or at least student and teaching assistant.”

That may entail device-free classrooms as some students have used AI chatbots to answer questions when called on during class.

He acknowledged logistical challenges given that some classes have hundreds of students. In addition, an emphasis on in-class performance favors some students more than others.

“Timed assessment may benefit students who are good at thinking quickly, not students who are good at thinking deeply,” Shirky said. “What we might call the medieval options are reactions to the sudden appearance of AI, an attempt to insist on students doing work, not just pantomiming it.”

To be sure, professors are also using AI, not just students. While some use it to help develop a course syllabus, others are using it to help grade essays. In some cases, that means AI is grading an AI-generated assignment.

AI use by educators has also generated backlash among students. A senior at Northeastern University even filed a formal complaint and demanded a tuition refund after discovering her professor was secretly using AI tools to generate lecture notes. 

Meanwhile, students are also getting mixed messages, hearing that the use of AI in school counts as cheating but also that not being able to use AI will hurt their job prospects. At the same time, some schools have no guidelines on AI.

“Whatever happens next, students know AI is here to stay, even if that scares them,” Rachel Janfaza, founder of Gen Z-focused consulting firm Up and Up Strategies, wrote in the Washington Post on Thursday.

“They’re not asking for a one-size-fits-all approach, and they’re not all conspiring to figure out the bare minimum of work they can get away with. What they need is for adults to act like adults — and not leave it to the first wave of AI-native students to work out a technological revolution all by themselves.”

Introducing the 2025 Fortune Global 500, the definitive ranking of the biggest companies in the world. Explore this year’s list.



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SPU & RevisionSuccess lead AI workshop for student innovation

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RevisionSuccess and Sripatum University (SPU) jointly hosted a workshop designed to introduce over 200 students to the applications of artificial intelligence (AI) in education and entrepreneurship.

The event, held at the School of Entrepreneurship on SPU’s Bangkok campus, was designed to provide students with practical experience using emerging digital tools. This workshop is part of an established collaboration between RevisionSuccess and SPU, which includes a formal Memorandum of Understanding, and builds on ongoing efforts to support educational advancement in Thailand.

Collaborative mission

The workshop carried the theme “AIvolution in Education,” focusing on how AI technology can personalise learning, increase engagement, and provide students with skills needed for both academic and professional pursuits. It also provided students with the opportunity to explore how AI can support entrepreneurial activities in a technology-focused business environment.

“Our partnership with RevisionSuccess has always been guided by a shared mission – to give students the tools they need to succeed in the digital age,” said Dr. Kriangkrai Satjaharuthai, Dean of the School of Entrepreneurship at SPU, who delivered the keynote address. “AI is not just a trend; it is becoming the backbone of future education and business. We want our students to be ready for this transformation, and today’s workshop has given them that first-hand experience.”

Hands-on experience

A key activity during the workshop was a large-scale, interactive game that involved all participating students. The game session was designed to demonstrate how AI-powered tools can enhance engagement and collaboration, providing students with a sense of how technology can bring learning concepts to life.

“We believe that learning should not only be effective but also fun, engaging, and scalable,” said Phonlawat Sirajindapirom of RevisionSuccess, who co-led the workshop alongside colleagues Phuwadit Sutthaporn and Pingkan Rerkpatanapipat. “Through this activity, students experienced how AI can bridge the gap between theory and practice, giving them practical insights into how innovation can be applied to their entrepreneurial journeys.”

AI supporting educators

The workshop speakers discussed the role of AI as a supplementary resource for teachers. They highlighted how AI can adapt instruction to individual student needs and simplify complex material, without attempting to replace educators themselves.

“Our role as educators is evolving,” added Dr. Kriangkrai. “Instead of being the sole source of information, we now serve as facilitators who help students use technology to unlock their potential. The key is to embrace AI as an ally, not a competitor.”

Pingkan Rerkpatanapipat of RevisionSuccess also commented on the potential of AI in shaping the learning environment.

“AI offers us the chance to reimagine the classroom – to create a space where learning adapts to the student, rather than the other way around. At RevisionSuccess, we are committed to working hand-in-hand with institutions like SPU to ensure that innovation leads to inclusion and accessibility for all students.”

Entrepreneurial focus

According to the organisers, the workshop’s emphasis on entrepreneurship aligned with national efforts in Thailand to strengthen digital skills and innovation. The agenda included demonstrations of AI as a business tool, intended to prepare students for future careers in a rapidly evolving market.

One student participant reflected on the benefits of the session, stating, “This workshop has broadened my perspective. I can see how AI can help me both in my studies and in the business I want to start after graduation. It makes learning more efficient and gives me new ideas for innovation.”

Feedback from participants indicates that the value students found in connecting their academic experience with real-world business concepts, enabled by AI technology, was significant.

Continuous development

The event concluded with a commemorative group photo featuring Dr. Kriangkrai, other faculty members, and the RevisionSuccess team. Organisers described this closing as a reflection of their commitment to continued collaboration in support of educational adaptation and progress.

“Our collaboration with SPU is about more than hosting events – it’s about creating a movement towards smarter, more inclusive, and more engaging education in Thailand,” said Phuwadit Sutthaporn of RevisionSuccess. “We are excited to continue building on this momentum with future initiatives.”



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China is becoming self-reliant in artificial intelligence (AI) semiconductors.Following Alibaba’s ow..

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U.S. semiconductor technology stocks fell around 3% on news of Alibaba chip’s own development

Alibaba Logo [Reuters = Yonhap News]

China is becoming self-reliant in artificial intelligence (AI) semiconductors.

Following Alibaba’s own development of AI chips and DeepSeek’s decision to introduce Huawei chips, China’s strategy to reduce its dependence on the U.S.-centered AI technology ecosystem is becoming clearer.

According to the Wall Street Journal (WSJ) on the 29th (local time), Alibaba has completed the development of a new chip specialized in AI inference work and has entered the trial stage of applying it to cloud data centers.

The new chip is highly compatible with Nvidia’s “CUDA” platform, so it can be applied without almost touching the existing code.

In particular, it has a symbolic meaning of technology independence as it takes place in foundry in China from design to production. Alibaba plans to install the chip in its cloud infrastructure and provide it in the form of a rental service.

When the news broke, the global stock market reacted immediately.

Nvidia shares fell more than 3% on the New York Stock Exchange, while Alibaba shares surged 12% on the Hong Kong Stock Exchange, coupled with strong earnings.

Just as the term “deep shock” came out in January when Chinese AI start-up DeepSeek announced that it had implemented performance comparable to ChatGPT at low cost, this time even the term “Alibaba shock” appeared.

사진설명

Chinese technology companies are expanding their application of AI chips.

On the 30th, Information Technology (IT) media Deformation reported that DeepSeek will apply some of Huawei’s “Ascend” chips to the next-generation AI model R2 training.

After testing Baidu and Cambricon chips, DeepSeek is said to have finally chosen Huawei. DeepSeek’s strategy is to continue to use Nvidia chips for top-level model training, but to gradually localize by using Huawei chips for medium and small model training.

The AI semiconductor ecosystem in China is rapidly expanding not only to existing big tech but also to professional startups.

Cambricon, dubbed the “Chinese version of Nvidia,” recently expanded its AI chip business for cloud and data centers, securing major customers such as Alibaba, Tencent, and D-Seek. In China, the latest chip performance has reached 80% of Nvidia’s A100, and sales in the first half of this year jumped 4,000% year-on-year.

Another AI semiconductor startup, Birn Technology, is preparing to list on the Hong Kong stock market in June by raising 1.5 billion yuan (about 280 billion won) from local government funds and the Shanghai city government.

Although Veran was hit by U.S. regulations in 2023 that blocked TSMC production, it has since used Chinese foundry to supply products and provide chips to large customers in China such as China Mobile and China Telecom.

There are currently no accurate statistics on AI chips produced in China, but according to Reuters, the Chinese government is pursuing a plan to more than triple them by next year. “There are concerns that China could compete with Nvidia in the global market by developing its own chip competitiveness,” Deformation analyzed.

The fierce war of nerves between the U.S. and China over AI chips is reminiscent of the U.S.-China semiconductor war that began in 2018.

In 2018, the U.S. government blacklisted Huawei for export restrictions, blocking access to semiconductors and software, and Huawei was directly hit by blocking supply of advanced chips from TSMC.

The U.S. slowed down China’s development of advanced semiconductor manufacturing capabilities and accelerated its pace to rebuild its semiconductor manufacturing base in the country. On the other hand, China has not only succeeded in developing its own 7-nano process through its own technology development, but is also reducing its dependence on imports from the United States, Japan, and Taiwan and increasing its share of domestic companies.



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