
Affordable housing fund passes part of goal
HIGH POINT — The David R. Hayworth Foundation will commit $1 million to a new affordable housing initiative being organized by a local nonprofit, putting the initiative over part of its fundraising goal.
The goal of the High Point Community Foundation's Housing Impact Fund is to raise $10 million from public and private sources and $30 million from banks and other lenders, and the Hayworth donation pushes it to $10.5 million from public and private sources, the foundation said.
Since longtime High Point philanthropist David Hayworth died July 1, 2022, his private foundation has been investing in projects that he would have supported, and it is the High Point Community Foundation's goal to keep his name and spirit alive in the community he so loved, community foundation President Paul Lessard said.
'David loved High Point and always looked for ways to make our community stronger. I know he would be pleased that this money will go to provide high-quality housing for children and families,' Lessard said.
The concept is for the fund to be used to provide loans for developers to build multifamily 'workforce housing' rental units in High Point for teachers, firefighters, police officers and others who earn less than the area median income. The loans would carry low interest rates and terms that make affordable projects attractive for developers. Its goal will be to generate 1,000 housing units over 20 years.
Self-Help Ventures Fund, a nonprofit lender based in Durham, will lend the money.
High Point University announced a $500,000 gift to the fund in February, and the City Council committed $2 million last month. The Hayworth Foundation's commitment brings the total raised to about $8.5 million.
Hashtags

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Yahoo
18 hours ago
- Yahoo
Tesla loses $150bn in market value amid Trump-Musk feud
Tesla experienced a market value loss on Thursday, with shares plunging 14%, translating to a staggering $150bn wiped from the company's valuation. This sharp decline followed a public row between US President Donald Trump and Tesla CEO Elon Musk, a situation that has alarmed investors and traders alike. The feud, which played out over social media, centred on criticisms of the president's tax bill and its impact on electric vehicle (EV) tax benefits. The conflict between Trump and Musk escalated quickly, with Musk's social media posts criticising the president's policies, prompting a sharp response from Trump. Trump alleged that Musk was disgruntled due to the tax bill's removal of EV purchase incentives. This public disagreement has raised concerns about potential regulatory and operational challenges for Tesla, especially as the US Transportation Department has considerable influence over vehicle design standards and is currently investigating Tesla's "Full Self-Driving" software. Tesla's strategy has shifted towards self-driving robotaxis, with Musk emphasising their importance to the company's future. Analysts from Wedbush have suggested that the AI and autonomous driving sector could add up to $1tn in market value for Tesla. However, the company's reliance on camera-based detection, as opposed to the industry-standard radar and lidar sensors, could become a regulatory sticking point. The stock has seen volatile movements since Musk's endorsement of Trump's re-election campaign in mid-2024, including a significant rally followed by a sharp downturn as a "Tesla Takedown" protest gained momentum. Sales have dipped in major markets, including Europe, China, and California, partly due to Musk's political alignments. The House of Representatives' version of Trump's budget bill could further impact Tesla by proposing an end to the $7,500 EV subsidy by the end of 2025. "Tesla loses $150bn in market value amid Trump-Musk feud" was originally created and published by Just Auto, a GlobalData owned brand. The information on this site has been included in good faith for general informational purposes only. It is not intended to amount to advice on which you should rely, and we give no representation, warranty or guarantee, whether express or implied as to its accuracy or completeness. You must obtain professional or specialist advice before taking, or refraining from, any action on the basis of the content on our site.
Yahoo
29-05-2025
- Yahoo
Two words keep cropping up with Elon Musk's business promises: ‘Next year'
Elon Musk has repeatedly made promises that don't come to fruition when it comes to his multibillion-dollar businesses. The world's richest man is accused of overpromising the timeline for everything from Tesla's Full Self Driving vehicles, affordable cars, and Robotaxis to humans landing on Mars. 'Next year' has become a firm favorite for Musk, who has been distracted lately by cutting and dismantling federal agencies through the Department of Government Efficiency on behalf of President Donald Trump. Musk recently announced he is stepping back from frontline politics and taking his vast wealth with him after Tesla's earnings took a hit in April, dipping 71 percent in profits. It was a wake-up call for Musk, who vowed to refocus on his businesses and leave Washington, D.C and the trail of destruction behind. While his investors may be pleased that his chainsaw-wielding, cheese-hat-wearing days are over for now, they are also likely 'frustrated' by all of the times Musk's predictions have fallen flat, WIRED reports. 'My predictions have a pretty good track record,' Musk told Tesla staff in March, but WIRED found otherwise in an assessment of all the times his predictions were wrong. In October 2015, Musk promised Tesla 'will have a car that can do full autonomy in about three years.' He then amended that deadline in January 2016 to be 'within two years.' In June 2016, Musk even claimed he considered 'autonomous driving to be a basically solved problem,' WIRED noted. 'We're less than two years away from complete autonomy,' he said in the familiar statement. But the deadline consistently kept slipping. In November 2018, he told tech journalist and podcast host Kara Swisher: 'I think we'll get to full self-driving next year.' Five years later, in May 2023, Musk told CNBC that 'it looks like' autonomous driving is 'gonna happen this year.' Two months later, he acknowledged he is 'the boy who cried FSD.' On an earnings call last month, Musk repeated the prediction yet again. 'I feel confident in predicting large scale autonomy around the middle of next year,' he said. 'There will be millions of Teslas operating autonomously, fully autonomously in the second half of next year.' Similarly, Musk predicted his long-awaited robot taxi would be on the road by mid-2020. 'Next year for sure, we'll have over a million robotaxis on the road,' he said in April 2019. Five years on, Tesla's robotaxi service will be on the streets of Austin, Texas by the end of June, Musk pledged last week. There is also no confirmed date yet for the launch of Tesla's Optimus robots, which Musk said would be able to 'clean your house, will mow the lawn, will walk the dog, will teach your kids, will babysit.' At an earnings call two months ago, he claimed: 'I'm hopefully ready for Optimus to be used outside of Tesla controlled environment maybe around the middle of next year second half of next year.' Musk also predicted humans could step onto Mars by 2024, which he called in December 2020 in an interview with Business Insider. 'When will we see the first human on Mars?' the billionaire was asked. 'Most likely six years from now, possibly four years,' Musk said. He first pledged in 2006 to deliver an affordably priced family car, which is now delayed until 2026, according to Reuters. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data

Yahoo
28-05-2025
- Yahoo
MicroCloud Hologram Inc. Develops Neural Network-Based Quantum-Assisted Unsupervised Data Clustering Technology
SHENZHEN, China, May 16, 2025 (GLOBE NEWSWIRE) -- MicroCloud Hologram Inc. (NASDAQ: HOLO), ('HOLO' or the "Company"), a technology service provider, announced the development of a neural network-based quantum-assisted unsupervised data clustering technology, utilizing a hybrid quantum-classical algorithm framework. This framework integrates the classical self-organizing feature map (SOM) neural network with the powerful capabilities of quantum computing, enabling efficient data clustering in an unsupervised manner. The Self-Organizing Feature Map (SOM) is an unsupervised learning neural network model widely used in fields such as data clustering, dimensionality reduction, and data visualization. Its core concept involves mapping high-dimensional data from the input space to a low-dimensional topological space through a competitive learning algorithm. This process ensures that similar input data points are mapped to adjacent neurons, thereby achieving data clustering. In classical computing, the SOM algorithm continuously adjusts weight vectors to reasonably group input data within the feature space. However, when dealing with massive datasets, the traditional SOM algorithm faces challenges related to computational complexity and storage demands. To address the limitations of classical computing in large-scale data clustering, HOLO has introduced quantum computing into the SOM framework, developing a Quantum-Assisted Self-Organizing Feature Map (Q-SOM) model. In this model, the powerful parallel computing capabilities of quantum computing are leveraged to accelerate the weight adjustment and data point mapping processes in SOM. Through quantum parallelism, it becomes possible to process a larger volume of data in a shorter time, thereby reducing the number of computations and overall time consumption. HOLO's technology leverages the quantum superposition and quantum entanglement properties of quantum computing, enabling the results of each clustering computation to be processed in parallel across multiple qubits. This quantum parallel computing approach not only significantly enhances computational efficiency but also demonstrates superior computational power compared to classical computing in certain scenarios. HOLO believes that quantum computing does not entirely replace classical computing but rather works in tandem with it. In this technology, the quantum component is primarily responsible for accelerating the data point mapping and weight adjustment processes within the SOM network, while the classical component handles post-processing of results and the final decision-making for data clustering. This hybrid architecture fully exploits the respective strengths of quantum and classical computing, theoretically enabling more efficient clustering. By incorporating quantum computing, each iteration of the SOM network can be completed more quickly, significantly reducing the number of computations required during the clustering process. Furthermore, the interference properties and noise tolerance of quantum computing provide additional robustness and reliability to the model. HOLO's neural network-based quantum-assisted unsupervised data clustering technology, leveraging the advantages of quantum computing, exhibits significant technical strengths: Computational Efficiency: Through quantum parallelism, it can significantly reduce the time cost of clustering computations. Particularly when dealing with large-scale data, quantum computing can handle more data points and quickly converge to optimal solutions. Data Processing Capability: The quantum-assisted algorithm can process higher-dimensional data. Especially when tackling complex high-dimensional datasets, quantum computing accelerates the data mapping process, reducing the complexity of high-dimensional computations. Accuracy and Stability: Compared to classical methods, quantum computing demonstrates higher accuracy and stability in addressing certain nonlinear and highly complex problems. Through quantum entanglement and superposition effects, it can avoid some of the local optima issues encountered in classical algorithms. Wide Applicability: This technology is not only suitable for data clustering but can also be extended to various fields such as image processing, natural language processing, and financial data analysis. As quantum computing technology advances, more industry applications will become feasible in the future. The integration of quantum computing and machine learning marks the advent of next-generation computing technology. By developing quantum-assisted neural network technology, HOLO not only achieves breakthroughs in the field of data clustering but also drives progress across multiple industries. Particularly in areas such as big data, artificial intelligence, and financial technology, the introduction of quantum computing will fundamentally transform data processing methods and provide new solutions for tackling complex problems. In the future, as quantum computing technology continues to mature, quantum-assisted machine learning algorithms will play an increasingly important role across multiple industries. Especially in fields with extremely high demands for computational speed and precision—such as quantum supremacy experiments, drug discovery, and climate change prediction—the integration of quantum computing and machine learning will unlock unprecedented potential. HOLO's breakthrough in neural network-based quantum-assisted unsupervised data clustering technology provides new perspectives for interdisciplinary research in quantum computing and artificial intelligence. With ongoing technological optimization and advancements in quantum computing hardware, quantum computing is poised to achieve practical applications in a broader range of fields, driving technological innovation and societal progress. Through continuous development and application of this technology, HOLO will inject new momentum into global data analysis, decision-making support, and the advancement of artificial intelligence. About MicroCloud Hologram Inc. MicroCloud is committed to providing leading holographic technology services to its customers worldwide. MicroCloud's holographic technology services include high-precision holographic light detection and ranging ('LiDAR') solutions, based on holographic technology, exclusive holographic LiDAR point cloud algorithms architecture design, breakthrough technical holographic imaging solutions, holographic LiDAR sensor chip design and holographic vehicle intelligent vision technology to service customers that provide reliable holographic advanced driver assistance systems ('ADAS'). MicroCloud also provides holographic digital twin technology services for customers and has built a proprietary holographic digital twin technology resource library. MicroCloud's holographic digital twin technology resource library captures shapes and objects in 3D holographic form by utilizing a combination of MicroCloud's holographic digital twin software, digital content, spatial data-driven data science, holographic digital cloud algorithm, and holographic 3D capture technology. For more information, please visit Safe Harbor Statement This press release contains forward-looking statements as defined by the Private Securities Litigation Reform Act of 1995. Forward-looking statements include statements concerning plans, objectives, goals, strategies, future events or performance, and underlying assumptions and other statements that are other than statements of historical facts. When the Company uses words such as 'may,' 'will,' 'intend,' 'should,' 'believe,' 'expect,' 'anticipate,' 'project,' 'estimate,' or similar expressions that do not relate solely to historical matters, it is making forward-looking statements. Forward-looking statements are not guarantees of future performance and involve risks and uncertainties that may cause the actual results to differ materially from the Company's expectations discussed in the forward-looking statements. These statements are subject to uncertainties and risks including, but not limited to, the following: the Company's goals and strategies; the Company's future business development; product and service demand and acceptance; changes in technology; economic conditions; reputation and brand; the impact of competition and pricing; government regulations; fluctuations in general economic; financial condition and results of operations; the expected growth of the holographic industry and business conditions in China and the international markets the Company plans to serve and assumptions underlying or related to any of the foregoing and other risks contained in reports filed by the Company with the Securities and Exchange Commission ('SEC'), including the Company's most recently filed Annual Report on Form 10-K and current report on Form 6-K and its subsequent filings. For these reasons, among others, investors are cautioned not to place undue reliance upon any forward-looking statements in this press release. Additional factors are discussed in the Company's filings with the SEC, which are available for review at The Company undertakes no obligation to publicly revise these forward-looking statements to reflect events or circumstances that arise after the date hereof. ContactsMicroCloud Hologram IR@