Connect with us

Tools & Platforms

Cultivate talent for new progress in AI technology – Opinion

Published

on


Visitors interact with a Unitree humanoid robot at a sci-tech museum in Jinhua, Zhejiang province, on July 27. HU XIAOFEI/FOR CHINA DAILY

Editor”s note: As artificial intelligence reshapes industries and societies worldwide, China’s rapid rise to the forefront of AI development has attracted global attention. Yang Shanlin, an academician at the Chinese Academy of Engineering, speaking to Science and Technology Daily, outlined China’s strengths in technology, innovation and talent cultivation as well as the challenges faced in basic research. Below are excerpts from the interview. The views don’t necessarily represent those of China Daily.

With strong competitiveness in fields such as intelligent speech, computer vision and smart manufacturing, Chinese enterprises and research institutions stand out in their ability to translate engineering advances into real-world applications.

China enjoys unique advantages in engineering practice and technology adoption. Supportive policies and resource integration by the government help accelerate the commercialization of innovations, while abundant data resources and vast application scenarios provide fertile ground for the rapid evolution of artificial intelligence. China continues to make breakthroughs in algorithm optimization, large model training and chip design, which not only enhances its global influence but also speeds up the integration of AI in sectors such as healthcare and manufacturing.

However, some weaknesses remain. In basic theoretical research, China still lags behind the United States and Europe, with relatively few disruptive original achievements. Dependence on overseas results in some core theories and architectures constrains the country’s AI advancement.

Hence, greater support should be directed toward basic research and the creation of an ecosystem that encourages originality, enabling researchers to explore “from zero to one”. Meanwhile, deeper integration of industry, academia and research, coupled with optimized evaluation and resource allocation mechanisms, will be vital to turning foundational studies into original technologies and strengthening China’s position in AI.

Talent cultivation is also key, with two central tasks of fostering diversity and building originality. AI is an inherently multidisciplinary field that spans theoretical, technological, application, managerial, ecological and integrative innovations. Each type of innovation requires corresponding specialized talent. Likewise, as AI reshapes many disciplines, the AI plus trend demands professionals who combine expertise in their own fields with AI literacy, forming a compound knowledge structure.

In addition, talent development must extend across all levels and age groups, from cultivating AI thinking in basic education to upskilling workers and supporting researchers, thereby fuelling AI advancement.

Today, AI is undergoing a profound cognitive revolution. Just like other countries, China should nurture talents to challenge established theories, break free from path dependence and create original breakthroughs.

Education must shift its focus from simply transmitting knowledge to cultivating capabilities. In particular, three core competencies are crucial: lifelong learning to adapt to rapid technological change, innovative practice to turn ideas into solutions for complex real-world problems, and systematic thinking to approach challenges from a cross-disciplinary perspective and integrate resources.

Sociality is the defining attribute that distinguishes humans from AI and machines. Social skills, including communication, organization and leadership, will become core human advantages, and also the key reasons why the service sector will continue to grow. In addition, the ability to use intelligent tools will become a fundamental skill and a basic threshold for employment. Therefore, workers are advised to actively embrace AI and acquire the relevant skills.



Source link

Tools & Platforms

US Senator Cruz Proposes AI ‘Sandbox’ to Ease Regulations on Tech Companies

Published

on


Republican U.S. Senator Ted Cruz introduced a bill on Wednesday that would let artificial intelligence companies apply for exemptions to federal regulation to help them experiment in developing new technology.

Cruz leads the Senate Commerce Committee, which held a subcommittee hearing on Wednesday about ways Congress can lower regulatory hurdles for the tech industry to give U.S. companies a boost in competing with China.

“A regulatory sandbox is not a free pass. People creating or using AI still have to follow the same laws as everyone else,” Cruz said at the hearing.

If passed by Congress, the bill would allow agencies that oversee federal regulations to consider applications from companies to be exempt from regulations for two years at a time, and require companies to outline the potential safety and financial risks and how they would mitigate them.

Consumer rights advocacy group Public Citizen raised concerns about provisions in the proposal that would allow the White House’s Office of Science and Technology Policy to override decisions by agency heads, and said the proposal “treats Americans as test subjects.”

“The sob stories of AI companies being ‘held back’ by regulation are simply not true and the record company valuations show it,” said J.B. Branch, Public Citizen’s Big Tech accountability advocate.

Cruz’s sandbox bill does not include a ban on state regulation, something that the tech industry has sought and the White House has said is necessary to boost innovation. A bid to put a ban in place as part of President Donald Trump’s tax-and-spending bill was defeated in the Senate on a 99-1 vote in July.

OSTP Director Michael Kratsios said at the hearing that Congress should reconsider the issue.

“It’s something that my office wants to work very closely with you on,” he told Cruz at the hearing.

Topics
USA
InsurTech
Legislation
Data Driven
Artificial Intelligence
Tech

Was this article valuable?


Here are more articles you may enjoy.

Interested in Ai?

Get automatic alerts for this topic.



Source link

Continue Reading

Tools & Platforms

Recycling facility uses AI to transform waste management

Published

on


COLUMBUS, Ohio — A new high-tech recycling center in central Ohio is transforming the way recyclables are processed, and it’s putting artificial intelligence to work in a big way.


What You Need To Know

  • Rumpke Waste & Recycling has opened what it calls the most advanced recycling facility of its kind
  • The $100 million plant in Columbus is designed ​to process up to 250,000 tons of recyclables each year.
  • Some of the recycled material becomes everyday items like irrigation pipe, detergent containers, lotion bottles, aluminum cans, and even alcohol bottles

Rumpke Waste & Recycling, a family-owned company with more than 90 years of experience, has opened what it calls the most advanced recycling facility of its kind in North America.

At 226,000 square feet, the $100 million plant in Columbus is designed ​to process up to 250,000 tons of recyclables each year.

“We can do that at a rate of 60 tons per hour,” said Amanda Pratt, Rumpke’s Senior Vice President of Communications.

With 19 optical scanners, four ballistic separators, and cutting-edge AI technology, the facility sorts and separates each item with incredible precision.

“We’re built for growth. We’re built for the population of today as well as the population well into the future,” Pratt said.

The process begins on the tipping floor, where trucks unload loose materials collected from homes and businesses. From there, the materials are loaded onto a conveyor with a drum feeder and sent to spinning tubes called trommels.

“Those spinning trommels remove materials or separate materials according to size,” she explained.

Then, the sorted material moves along a conveyor to the presort line, where employees manually remove any items that shouldn’t be in the recycling stream.

“Next up, the material reaches a set of ballistic separators,” she continued.

These separators split the paper and fiber materials from the rest, sending them to different conveyors. Then come the optical sorters, some of which are powered by artificial intelligence, identifying and sorting materials based on shape, size and even color. After that, metals are separated, such as aluminum and steel. 

The last step is baling, compressing the materials into massive blocks before they’re shipped out. They weigh between 800-2,000 pounds each. 

“And the best part is about 80% of the material that we’re processing right here, stays in the state of Ohio and is sent to manufacturers right here in the central Ohio area who are turning your recyclables into new products,” she said.

Some of the recycled material becomes everyday items like irrigation pipe, detergent containers, lotion bottles, aluminum cans, and even alcohol bottles.

The facility also includes an interactive Education Center, developed in partnership with COSI and The Ohio State University. It’s designed to help the public learn about the recycling process and the role it plays in building a more sustainable future.

From start to finish, artificial intelligence is helping Rumpke Waste & Recycling sort materials faster and more accurately than ever before, offering a glimpse at the future of recycling, and the environmental innovation happening in central Ohio.



Source link

Continue Reading

Tools & Platforms

AI’s New Cloud King: Oracle’s Rally Could Rewrite ETF Playbooks – ARK Next Generation Internet ETF (BATS:ARKW), Global X Artificial Intelligence & Technology ETF (NASDAQ:AIQ)

Published

on


Oracle Corp’s ORCL shares soared over 40% on Wednesday, a day after posting its earnings powered by booming demand for AI infrastructure, pushing CEO Larry Ellison ahead of Tesla Inc TSLA scion Elon Musk as the world’s wealthiest individual.

Beyond the headline wealth change, the move has considerable implications for ETFs, showing how AI infrastructure is becoming more integral to broad-market and thematic funds alike.

Oracle’s profits highlighted the company as a prime supplier of data center space and cloud computing for AI use. With an eye-popping $455 billion AI services backlog and multi-billion-dollar contracts such as providing OpenAI with 4.5 gigawatts of energy to power ChatGPT, Oracle made it clear to the world that it is more than a software behemoth now.

Impact On ETFs

For holders of broad-market ETFs, Oracle’s rise comes with an immediate impact on portfolio weightings. Sector-specific ETFs like Technology Select Sector SPDR XLK and Vanguard Information Technology ETF VGT stand to gain, as Oracle moves higher in the ranks of the most heavily weighted tech names. Both funds are up around 1.5% on Wednesday.

Thematic ETFs on AI, cloud, and next-generation technologies are also being rewired. If Oracle crosses $1 trillion in valuation, it joins a very exclusive group. That milestone might spark reappraisals by active managers and ETF issuers alike, potentially creating new “AI infrastructure” baskets or raising its inclusion in existing thematic funds.

Others like Global X Cloud Computing ETF CLOU, WisdomTree Artificial Intelligence & Innovation Fund WTAI, and ARK Next Generation Internet ETF ARKW might have to change exposure to reflect Oracle’s new leadership in AI infrastructure.

The ripple effects even extend to ETFs with broader innovation themes. For example, both iShares Exponential Technologies ETF XT or Global X Artificial Intelligence & Technology ETF AIQ track companies positioned to benefit from AI adoption.

Oracle’s repositioning as a critical AI infrastructure player makes it harder for ETF managers to overlook.

The Bigger Picture For ETF Investors

Investors seeking to capitalize on the AI boom have several options for gaining diversified exposure to the companies driving this growth, rather than betting on individual stocks.

This episode shows a larger trend: AI-fueled growth is no longer the exclusive domain of mainstream software or chip stocks. ETFs are keeping pace with the industry, providing investors with vehicles to harness both broad-market tech appreciation and thematic exposures in AI, cloud, and enterprise infrastructure.

Oracle’s explosive growth shows how the fortunes of a single company can cascade through dozens of ETFs, affecting flows, weightings, and sector performance.

Read Next:

Image: Shutterstock



Source link

Continue Reading

Trending