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Huawei Cloud Stack 8.3 Is Officially Released in Hong Kong, with Six Highlights Inspiring a Leap to Cloud

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At Huawei Cloud Summit 2024 in Hong Kong, Hu Yuhai, Vice President of Huawei Hybrid Cloud, announced the release of Huawei Cloud Stack 8.3 in Hong Kong. Huawei Cloud Stack 8.3 provides more than 110 on-premises cloud services and six highlights, aiming to help government organizations and companies in Hong Kong dive into cloud and spur innovation.
Huawei Cloud also launched a “Leap2Cloud” initiative to help more customers and partners in Hong Kong bid farewell to virtualization and embrace cloud transformation. Huawei Cloud envisions promoting wide adoption of the “dive into cloud” concept across all industries to unlock a new era of digital and intelligent transformation.
Hu Yuhai, Vice President of Huawei Hybrid Cloud, said: “In April 2023, Huawei Cloud released Huawei Cloud Stack 8.2 in Hong Kong. Over the past year, we have been reinforcing our cloud services and key features. Today, we are set to release Huawei Cloud Stack 8.3. This brand-new version provides six highlights: a solid cloud foundation and five innovative capabilities covering databases, mainframe modernization, data lakes, large AI models, and industrial Internet. We strive to create greater value and better experience for government and enterprise customers and partners in Hong Kong.”
Huawei Cloud Stack provides high availability, robust security, multi-architecture compute, and an open, trusted, more resilient cloud native infrastructure. Huawei Cloud Stack has been stepping up efforts to boost innovation to support the following key capabilities:

GaussDB provides a distributed database with high performance and reliability: GaussDB, in terms of high-concurrency handling, delivers excellent reliability and 30% better performance than rival products in the industry. It also provides flexible disaster recovery and one-stop migration capabilities, which are critical to core systems of government and enterprise customers.
Mainframe modernization accelerates transformation of core systems: Customers in many sectors like finance, energy, and manufacturing are eager to move their core systems from siloed legacy mainframes to open platforms. To address these requirements, Huawei launched the mainframe modernization solution using innovation in software, hardware, and services. The solution provides three cloud migration paths: re-hosting, re-platforming, and rearchitecting of core systems. It provides cloud-hardware synergy, more dependable processes, and scenario-specific solutions.
A converged data lake improves data sharing and circulation: Huawei Cloud Stack provides three innovative services: MRS (a big data service), DWS (a data warehouse service), and DataArts Studio (one-stop data governance). It also provides an enterprises-grade real-time data lake that supports OLAP and HTAP workloads and unifies data standards. With Huawei Cloud Stack, customers in diverse sectors like government and finance are now able to achieve efficient cross-source, cross-domain data collaboration and real-time data analysis and sharing.
Pangu Models help customers in every industry build tailored large AI models in one stop: Huawei Cloud Stack 8.3 is the industry’s first hybrid cloud that can be used to deploy large AI models. It provides the industry’s most comprehensive AI pipeline including computing platforms, cloud services, development suites, and professional services. It enables numerous models and applications and empowers a myriad of industries.
Industrial Internet is integrated with AI to enable new industrialization: Huawei Cloud Stack provides a reference architecture for a new industrial Internet platform. It enables industrial all-domain connections, data intelligence, and application innovation. It helps resolve pain points in different stages of industrial production and drives integration with AI.

Huawei Cloud Stack is a partner customers can count on when they move to, use, and manage the cloud. They have been streamlining and optimizing product portfolios, professional services, and customer-oriented workflows since 2021, and so far, have launched more than 40 scenario-specific solutions tailored to customer needs. In the near future, Huawei Cloud Stack will continue to simplify technologies, develop more easier specific-scenario solutions, and share experience.
Mainframe Modernization: A New Trusted Solution
At the conference, Lv Jinjiang, CTO of the Huawei Mainframe Modernization BU for International Business, introduced Huawei’s mainframe modernization business unit (BU), along with a trusted solution they designed for the sectors such as finance. Lv Jinjiang said: “Mainframes are critical infrastructure for running financial core applications. Making breakthroughs in foundational technologies to achieve independent innovation has become a challenging problem worldwide. The last challenge of this type was ERP and database replacement. The Huawei Mainframe Modernization BU includes Huawei’s technical and service experts in various fields. This BU works with our customers and partners to make breakthroughs in key technologies. We aim to establish an open cloud native platform to modernize core systems faster.”
Leap to New Growth with Operational Excellence
Deploying a cloud platform is just the first step. What is more important is helping customers move to, use, and manage cloud, so they can create greater value. Gong Qing, Director of Huawei Hybrid Cloud Operations Department, said: “Huawei Cloud Stack provides a comprehensive cloud operations solution based on our extensive experience serving customers across many sectors like government, finance, and enterprises. The solution provides a broad set of capabilities, covering cloud migration tools, cloud native transformation, proactive O&M capabilities such as the design of a high availability solution, and operations system establishment. It helps customers move faster to dive into cloud and thrive with digital power.”
Huawei Cloud Stack serves more than 5,500 customers around the world. In China, Huawei Cloud Stack is a leader in nine markets, such as the government cloud and financial cloud infrastructure markets. Huawei Cloud is also a leader in the emerging Asia-Pacific hybrid cloud market. Huawei Cloud Stack is a trusted partner who always stands by their customers.
Leap to Cloud
In 2024, Huawei Cloud launched the “Leap2Cloud” initiative to work in tandem with customers and partners in diverse industries in Hong Kong to seize strategic opportunities in intelligence. Huawei Cloud is prepared to help customers bid farewell to legacy virtualization and embrace cloud native, AI, and big data. Huawei Cloud Stack fuels business growth with accelerated innovation and unleashes greater power from cloud.
Looking ahead, Huawei Cloud Stack will continue to stay at the forefront of technical innovation, to provide more competitive products and solutions to customers, to dive deep into cloud, and to promote comprehensive intelligence.
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AI should be trained to respect a regulatory ‘constitution’ says BofE policy maker

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Innovative AI models should be trained to respect a ‘constitution’ or a set of regulatory rules that would reduce the risk of harmful behaviour, argues a senior Bank of England policy maker.
In a speech at CityWeek in London, Randall Kroszner, an external member of the Bank of England’s financial policy committee, outlined the distinction between fundamentally disruptive versus more incremental innovation and the different regulatory challenges posed.
“When innovation is incremental it is easier for regulators to understand the consequences of their actions and to do a reasonable job of undertaking regulatory actions that align with achieving their financial stability goals,” he says.
However, in the case of AI, innovation comes thick and fast, and is more likely to be a disruptive force, making it “much more difficult for regulators to know what actions to take to achieve their financial stability goals and what the unintended consequences could be for both stability and for growth and innovation.”
Kroszner suggests that the central bank’s up-and-coming Digital Securities Sandbox, that will allow firms to use developing technology, such as distributed ledger technology, in the issuance, trading and settlement of securities such as shares and bonds, may no longer be an applicable tool for dealing with artifical intelligence technology.
“Fundamentally disruptive innovations – such as ChatGPT and subsequent AI tools – often involve the potential for extraordinarily rapid scaling that test the limits of regulatory tools,” he notes. “In such a circumstance, a sandbox approach may not be applicable, and policymakers may themselves need to innovate further in the face of disruptive change.”
He points to a recent speech by FPC colleague Jon Hall that highlighted the potential risks emerging from neural networks becoming what he referred to as ‘deep trading agents’ and the potential for their incentives to become misaligned with that of regulators and the public good. This, he argued, could help amplify shocks and reduce market stability.
One proposal to mitigate this risk was to train neural networks to respect a ‘constitution’ or a set of regulatory rules.
Kroszner suggests that the idea of a ‘constitution’ could be combined with, and tested in, a sandbox as way of shepherding new innovation in a way that supports financial stability.
“In the cases where fundamentally disruptive change scales so rapidly that a sandbox approach may not be applicable, a ‘constitutional’ approach may be the most appropriate one to take,” he says.
Source: finextra.com
 
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OpenAI apologizes to Johansson, denies voice based on her

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OpenAI chief Sam Altman apologized Tuesday to Scarlett Johansson after the movie star said she was “shocked” by a new synthetic voice released by the ChatGPT-maker, but he insisted the voice was not based on hers.
At issue is “Sky,” a voice OpenAI featured last week in the release of its more humanlike GPT-4o artificial intelligence technology.
In a demo, Sky was at times flirtatious and funny, seamlessly jumping from one topic to the next, unlike most existing chatbots.
The technology — and sound of the voice — quickly drew similarities to the Johansson-voiced AI character in the 2013 film “Her.”
Altman has previously pointed to the Spike Jonze-directed movie — a cautionary tale about the future in which a man falls in love with an AI chatbot — as inspiration for where he would like AI interactions to go.
He furthered speculation last week with a single-word post on X, formerly Twitter, saying “her.”
“The voice of Sky is not Scarlett Johansson’s, and it was never intended to resemble hers,” Altman said in a statement on Tuesday in a response to the controversy.
“We cast the voice actor behind Sky’s voice before any outreach to Ms. Johansson.
“Out of respect for Ms. Johansson, we have paused using Sky’s voice in our products. We are sorry to Ms. Johansson that we didn’t communicate better.”
The statement came after Johansson on Monday expressed outrage, saying she was “shocked, angered, and in disbelief that Mr Altman would pursue a voice that sounded so eerily similar to mine that my closest friends and news outlets couldn’t tell the difference.”
She said Altman had offered in September to hire her to work with OpenAI to create a synthetic voice, saying it might help people engaging with AI, but she declined.
Risk team disbanded
In a blogpost, the company explained that it began working to cast the voice actors in early 2023, “carefully considering the unique personality of each voice and their appeal to global audiences.”
Some of the characteristics sought were “a voice that feel timeless” and “an approachable voice that inspires trust,” the company said.
The five final actors were flown to San Francisco to record in June and July, it said, with their voices launched into ChatGPT last September.
“To protect their privacy, we cannot share the names of our voice talents,” OpenAI said.
“We believe that AI voices should not deliberately mimic a celebrity’s distinctive voice.”
So far in the AI frenzy, most tech giants have been reluctant to overly humanize chatbots and some observers expressed concern that OpenAI’s demo last week had gone too far.
Microsoft Vice President Yusuf Mehdi cautioned that AI “should not be human.”
“It shouldn’t breathe. You should be able to…understand (it) is AI,” he told AFP.
The Johansson dispute came just days after OpenAI admitted it disbanded a team devoted to mitigating the long-term dangers of artificial intelligence.
OpenAI began dissolving the so-called “superalignment” group weeks ago, integrating members into other projects and research.
Source: france24.com
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India’s next big focus: Artificial Intelligence

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Have you heard about ChatGPT? It’s an AI software that has become quite famous. Chances are, if you’ve been reading stories online, it has been involved in some way.
In today’s fast-changing world, where AI plays a big role, India has a great opportunity to grow. Rajeev Chandrashekhar, Minister of State for the Ministry of Information and Technology, believes India is ready to boost its tech economy. The plan is to invest in both public and private capital flows into the digital space in the real economy space. Chandrashekhar highlights key areas of focus for the next 5-7 years: electronics and microelectronics, telecom, high-performance computing semiconductors, cybersecurity, the future of the internet, automotive and EVs.
Investing in Innovation: Fueling the IndiaAI Mission
Prime Minister Narendra Modi has allocated $12 billion as seed capital into the research and innovation fund that will finance R&D and invest in the next wave of startups, including deep tech, AI, and other similar endeavors.
The government has recently approved over Rs 10,300 crore for the IndiaAI Mission, set to be invested over the next five years. This investment aims to drive various initiatives like building AI computing capacity, establishing innovation centers, creating datasets platforms, and supporting AI startups. The goal is to build cutting-edge AI computing infrastructure, benefiting from collaborations with over 10,000 GPUs.
Tailored Solutions for India: The IndiaAI Approach
India’s approach to AI is tailored to its specific needs. The IndiaAI mission aims to empower states like Kerala, which have untapped potential in the tech sector. By investing in such regions, the government hopes to unlock opportunities for young Indians and increase economic growth.
S Krishnan, secretary of the Ministry of Electronics and Information Technology (MeitY), notes the importance of developing AI models specific to India. While foreign models like ChatGPT 4 can handle Indian languages, they may carry biases due to the data they’re trained on.
Safe & Secure India: Learning from Global Experiences
India’s stance on AI regulation is practical. By observing and learning from other countries’ experiences, India aims to develop effective regulations without hindering innovation. Krishnan also said that India might hold an advantage over other nations by entering AI regulations later, as it can study and learn from the mistakes made by other countries.
The MeitY secretary also raised concerns regarding the potential job losses due to AI. However, he pointed out that India might not be as heavily affected due to its substantial pool of engineers already familiar with the technology. Nonetheless, he underscored the necessity for significant efforts in retraining and upskilling. India’s prioritisation of technology, particularly AI, reflects its ambition to drive progress and prosperity in the digital age.
Source: ddnews.gov.in
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