China-based lifestyle brand Miniso is heading to the Mall of America
Trendy lifestyle brand Miniso is expanding its footprint in Minnesota, again.
The China-based brand first expanded to the United States in 2017 and made its entry into Minnesota in November. Now, in addition to hubs in St. Cloud and Eden Prairie, its rapid in-state expansion will head to the Mall of America.
The Bloomington shopping center announced the soon-to-come shop on Wednesday.
Miniso is known for viral, limited-edition collaborations with brands like Disney, Pokémon, and Care Bears. Those collabs are seen across its toys, collectibles, beauty products, home goods, and more. That includes Miniso's popular blind box collectibles.
'Miniso's arrival at Mall of America reflects our ongoing commitment to introducing fresh, globally recognized brands to our retail lineup,' Ashley Hofmann, Leasing Director at Mall of America, said in a statement.
When it opens in the near future, Miniso will be located at Level 2 East.
Miniso is one of two major Asia-based retailers making a concerted effort to expand in Minnesota. This past weekend saw the opening of the second location for Japan-based bargain store Daiso, which launched in Maplewood.
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Bloomberg
14 minutes ago
- Bloomberg
Xiaomi Founder Expects EV Arm to Turn Profitable After New SUV
Xiaomi Corp. founder Lei Jun expects its year-old EV business to turn profitable in the second half, a milestone for the billionaire's $10 billion endeavor in a cut-throat market. Xiaomi's shares advanced more than 3% in Hong Kong. Lei delivered his forecast during a Tuesday investor event without specifying the type of profit. His company has enjoyed strong sales of its SU7 sedan since its launch a year ago, which helped narrow losses in that division in recent quarters.
Business Wire
19 minutes ago
- Business Wire
Literal Labs Raises £4.6M Pre-seed Round to Develop Energy-efficient Logic-based AI Worldwide
NEWCASTLE, England--(BUSINESS WIRE)-- Literal Labs, the logic-based AI algorithm company led by ex-Arm VP Noel Hurley, today announces that it has raised £4.6M ($6.2M USD) in pre-seed funding. The round is led by Northern Gritstone, the science and tech-focused investment firm from Northern England, and co-led by Mercuri, the London-based fund focused on companies at the intersection of media, entertainment and technology sectors, with participation from Sure Valley Ventures, Cambridge Future Tech SPV, and several angel investors. Literal Labs is pioneering logic-based AI models that are orders of magnitude faster, more energy efficient and more explainable than today's neural networks. Its approach is inspired by the work of Mikhail Tsetlin; a mathematician and contemporary of John Macarthy who pioneered neural networks. Like neural networks, the Tsetlin machine can perform complex machine learning training. However, unlike neural networks, it is based on propositional logic which makes it more efficient in terms of computation and energy usage, whilst speeding up inferencing. Recent MLPerf Anomaly detection benchmarking shows Literal Labs can achieve 54x faster inferencing than 'classic techniques' for machine learning applications, with 52x less energy consumption than equivalent neural networks. It also achieved 250x faster performance than XGBoost for machine learning applications. Literal Labs was spun out of Newcastle University by world leaders in logic-based AI, Dr. Alex Yakovlev and Dr. Rishad Shafik, along with company builder Cambridge Future Tech. Noel Hurley was later appointed CEO of Literal Labs in 2023, after having spent more than 20 years at Arm where he led its product marketing as well as its CPU division – which accounted for over 70% of revenue, totalling approximately $1bn. Literal Labs doubled its headcount from 6 to 12 in 2024, including appointing Leon Fedden – formerly AI Deep Learning platform lead at AstraZeneca – as Chief Technology Officer. The fresh injection of funding will be used to further grow its engineering team and bring its first commercial product to market later in 2025 for customers with EdgeAI who need to: Replace GPU-heavy algorithms which are too large, expensive or energy-intensive Operate in strict social or regulatory markets, in which explainability of AI is essential Have more efficient AI models for battery-based products Noel Hurley, CEO of Literal Labs, said: 'We're at a pivotal moment for AI with adoption continuing to accelerate alongside sustainability and cost concerns. Our logic-based AI offers a new solution for those that want and need high-performing AI that is faster, more energy efficient and more explainable than what's currently available via neural networks. This funding comes at a time when we're ready to significantly speed up our product development and will enable us to bring our first product to market later this year.' Duncan Johnson, CEO of Northern Gritstone, said: 'Literal Labs is Northern Gritstone's first investment linked to Newcastle University, renowned for its technology-related research. We are delighted to support Noel Hurley and the Literal Labs team at a time when innovation can truly benefit from greater efficiency in AI.' Esha Vatsa, Partner at Mercuri said: 'We are excited to back Literal Labs as it redefines AI with a radically efficient alternative to existing neural networks. The team, combining deep research expertise and proven industry leadership, is uniquely positioned to commercialise this innovation.' About Literal Labs Literal Labs is an AI algorithm company that uses logic-based techniques to generate custom AI models, which benchmarking studies have proven to be orders of magnitude faster, more energy-efficient and more explainable than neural networks. Its models are for companies that want to replace GPU-heavy algorithms that are too large, expensive and energy-intensive, for companies that operate in strict social or regulatory markets in which explainability of AI is essential, or for companies needing more efficient AI models for battery-based products. The company was spun out of Newcastle University by world leaders in logic-based AI, Dr. Alex Yakovlev and Dr. Rishad Shafik, and is led by former Arm CPU division VP and semiconductor startup founder, Noel Hurley. Read more at About Northern Gritstone Northern Gritstone is an investment company, dedicated to supporting ambitious science and technology businesses in the North of England. Its philosophy is 'profit with purpose' combining strong returns for investors with wider positive, societal and economic impact, including high-skilled job creation and regional growth. Active since May 2022, the company has made 37 investments to date in some of the UK's most exciting future businesses including semiconductor design and manufacturing; novel materials; secure computing; AI; healthtech; and gene therapies. Together with NG Innovation Services, Northern Gritstone offers 'Capital+++' connecting early-stage company founders with funding and expertise to scale their businesses. In April 2025, Northern Gritstone announced that it had raised further funding bringing its total committed capital to £362 million. About Mercuri Mercuri is an early-stage venture capital fund that leads pre-seed and seed funding rounds for UK technology companies. The firm is dedicated to backing outstanding entrepreneurs who are at the forefront of developing tech-driven products designed for the new age of enterprise and the digital lifestyle of the consumer. For more information, please go to:
Yahoo
20 minutes ago
- Yahoo
Literal Labs Raises £4.6M Pre-seed Round to Develop Energy-efficient Logic-based AI Worldwide
Led by ex-Arm VP Noel Hurley, Literal Labs uses logic-based techniques to generate AI models that are orders of magnitude faster, more energy efficient and more explainable than today's neural networks. The round is led by Northern Gritstone, the science and tech-focused investment firm from Northern England, and co-led by Mercuri, the London-based fund focused on companies at the intersection of media, entertainment, and technology sectors. Headquartered in Newcastle, Literal Labs will use the capital to bring its first commercial product to market, grow its engineering team and continue delivering on its vision for AI that improves life for all and treads lightly on our environment. NEWCASTLE, England, June 03, 2025--(BUSINESS WIRE)--Literal Labs, the logic-based AI algorithm company led by ex-Arm VP Noel Hurley, today announces that it has raised £4.6M ($6.2M USD) in pre-seed funding. The round is led by Northern Gritstone, the science and tech-focused investment firm from Northern England, and co-led by Mercuri, the London-based fund focused on companies at the intersection of media, entertainment and technology sectors, with participation from Sure Valley Ventures, Cambridge Future Tech SPV, and several angel investors. Literal Labs is pioneering logic-based AI models that are orders of magnitude faster, more energy efficient and more explainable than today's neural networks. Its approach is inspired by the work of Mikhail Tsetlin; a mathematician and contemporary of John Macarthy who pioneered neural networks. Like neural networks, the Tsetlin machine can perform complex machine learning training. However, unlike neural networks, it is based on propositional logic which makes it more efficient in terms of computation and energy usage, whilst speeding up inferencing. Recent MLPerf Anomaly detection benchmarking shows Literal Labs can achieve 54x faster inferencing than "classic techniques" for machine learning applications, with 52x less energy consumption than equivalent neural networks. It also achieved 250x faster performance than XGBoost for machine learning applications. Literal Labs was spun out of Newcastle University by world leaders in logic-based AI, Dr. Alex Yakovlev and Dr. Rishad Shafik, along with company builder Cambridge Future Tech. Noel Hurley was later appointed CEO of Literal Labs in 2023, after having spent more than 20 years at Arm where he led its product marketing as well as its CPU division – which accounted for over 70% of revenue, totalling approximately $1bn. Literal Labs doubled its headcount from 6 to 12 in 2024, including appointing Leon Fedden – formerly AI Deep Learning platform lead at AstraZeneca – as Chief Technology Officer. The fresh injection of funding will be used to further grow its engineering team and bring its first commercial product to market later in 2025 for customers with EdgeAI who need to: Replace GPU-heavy algorithms which are too large, expensive or energy-intensive Operate in strict social or regulatory markets, in which explainability of AI is essential Have more efficient AI models for battery-based products Noel Hurley, CEO of Literal Labs, said: "We're at a pivotal moment for AI with adoption continuing to accelerate alongside sustainability and cost concerns. Our logic-based AI offers a new solution for those that want and need high-performing AI that is faster, more energy efficient and more explainable than what's currently available via neural networks. This funding comes at a time when we're ready to significantly speed up our product development and will enable us to bring our first product to market later this year." Duncan Johnson, CEO of Northern Gritstone, said: "Literal Labs is Northern Gritstone's first investment linked to Newcastle University, renowned for its technology-related research. We are delighted to support Noel Hurley and the Literal Labs team at a time when innovation can truly benefit from greater efficiency in AI." Esha Vatsa, Partner at Mercuri said: "We are excited to back Literal Labs as it redefines AI with a radically efficient alternative to existing neural networks. The team, combining deep research expertise and proven industry leadership, is uniquely positioned to commercialise this innovation." About Literal Labs Literal Labs is an AI algorithm company that uses logic-based techniques to generate custom AI models, which benchmarking studies have proven to be orders of magnitude faster, more energy-efficient and more explainable than neural networks. Its models are for companies that want to replace GPU-heavy algorithms that are too large, expensive and energy-intensive, for companies that operate in strict social or regulatory markets in which explainability of AI is essential, or for companies needing more efficient AI models for battery-based products. The company was spun out of Newcastle University by world leaders in logic-based AI, Dr. Alex Yakovlev and Dr. Rishad Shafik, and is led by former Arm CPU division VP and semiconductor startup founder, Noel Hurley. Read more at About Northern Gritstone Northern Gritstone is an investment company, dedicated to supporting ambitious science and technology businesses in the North of England. Its philosophy is 'profit with purpose' combining strong returns for investors with wider positive, societal and economic impact, including high-skilled job creation and regional growth. Active since May 2022, the company has made 37 investments to date in some of the UK's most exciting future businesses including semiconductor design and manufacturing; novel materials; secure computing; AI; healthtech; and gene therapies. Together with NG Innovation Services, Northern Gritstone offers 'Capital+++' connecting early-stage company founders with funding and expertise to scale their businesses. In April 2025, Northern Gritstone announced that it had raised further funding bringing its total committed capital to £362 million. About Mercuri Mercuri is an early-stage venture capital fund that leads pre-seed and seed funding rounds for UK technology companies. The firm is dedicated to backing outstanding entrepreneurs who are at the forefront of developing tech-driven products designed for the new age of enterprise and the digital lifestyle of the consumer. For more information, please go to: View source version on Contacts Media contact Connor Mitchellconnor@ Commplicated Fehler beim Abrufen der Daten Melden Sie sich an, um Ihr Portfolio aufzurufen. Fehler beim Abrufen der Daten Fehler beim Abrufen der Daten Fehler beim Abrufen der Daten Fehler beim Abrufen der Daten
