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How Will The Different Sectors of Real Estate Respond to this Current Pandemic?



As the COVID-19 escalated to a global pandemic, different businesses and markets have been hit worldwide. In these times of uncertainties, it is inevitable that real estate investors would respond accordingly—something we wonder what’s waiting for us this 2020.

The impact of the coronavirus on the financial market has been so sudden. Nobody was ready for it. In fear of the markets falling, investors have diverted their capital reserves to the relatively resilient bond market. This resulted in the largest drop in the stock market in just a matter of one week since the financial crisis in 2008. Since 1987, the Dow experienced the biggest crash.

Based on the recent history of pandemics the world has seen—such as SARS, MERS, H1N1 and others—experts are using the experience to foresee the market volatility and how long and far the correction for the market will take. It may still be too early to compare the full impact of COVID-19, but during the previous pandemics, the markets have already stabilized in the span of three to six months on average.

With the current government’s thrust to prevent further spread of the virus—which includes stay-at-home order and isolation—the real estate markets have been undeniably impacted. Prior to the scare, the supply and demand are in good balance. It is only fitting to assume that, so long as the virus is contained the shortest time possible, economic growth will remain positive. It may slow down, or even have a decline, but it will thrive. In theory, for the rest of the year, the real estate markets will be relatively stable.

Among the real estate markets, the hospitality and tourism industry are the ones to be impacted the most as tourists have cancelled their vacations, so were the conferences, and other big events, have all been put on hold. Last year, the nationwide occupancy rate reached a record high at 66.2% and though the virus will certainly affect its performance, experts still expect it to settle at 62.5% which is still higher than the average occupancy rate in the last 30 years. 

Another market that will also experience poor performance, at least for the short term, is the retail sector, especially the ones related to experiential retail—restaurants, entertainment centers, fitness gyms and other similar businesses and stores. People are advised to stay at-home and avoid public places and crowds and these are what caused the backlash.

The demand will still remain high for the housing market in the midst of coronavirus and the rental businesses will still be favorable. The vacancy rates of the multifamily properties closed 2019 at 4.2%. The construction of new Class A units may raise that rate higher this year, but diminutive vacancy rates in Class B and C will most likely result in rent growth.

The office sector ended at a 13.0 percent vacancy average rate nationwide and we don’t expect much deviation from that. As long as job creation is steady and the labor market stays tight, the impact on this sector is minuscule.

The industrial sector will also be affected in the short term. There will be inevitable decline, if not a total halt, in the flow of goods from other other countries specially from China—this may lead to a little risk as some users may put on hold their pans to utilize for large warehouse spaces as they gauge the situation. 

While the headlines about COVID-19 are currently overwhelming, its detrimental effects are unlikely to cause a long-lasting severe impact on the commercial real estate market. The drop in the interest rates will fuel refinance and acquisition activity and quality investors have managed to lock in debt in the 3% range despite the increasing spread of lenders’ risk-free rates. Investment activity should also remain stable in spite of the lack of confidence in the economy as a whole since property values are not escalating and cap rates are not crashing. 

These assessments are heavily based on the previous pandemics we have experienced plus the current situation of the coronavirus. But things could drastically change like say for example if the consumer confidence levels drop significantly or the market volatility becomes out of control, it’ll be a different situation. But for now, we are expecting to see reduced economic growth but still positive and thriving amid this current health scare.

As for the real estate market, if anyone wants to sell their house, they might think this a bad time for that. However, there are private investors like Mrs Property Solutions who still operate even at this time of crisis. They want to help out people who needs cash for houses Los Angeles. They buy house in as is condition and in any situation.

Mark David is a writer best known for his science fiction, but over the course of his life he published more than sixty books of fiction and non-fiction, including children's books, poetry, short stories, essays, and young-adult fiction. He publishes news on related to the science.


AI-Enhanced Batteries: Unlocking 10% More Capacity and Extending Life by 25%



Up to 25% more battery life can be obtained by using the AI-BMS-on-chip, which also “unlocks” an extra 10% of a battery’s capacity. It accomplishes this by accurately monitoring the battery’s State of Health (SoH) and State of Charge (SoC) to a far greater extent than is feasible with conventional BMS units.

Syntiant’s NDP120 Neural Decision Processor takes decisions to avoid failures, improve battery safety, and maximize performance by analyzing battery performance in real-time and using predictive diagnostics to spot possible problems early.

The NDP120 was made with ease of integration with consumer and business electronics BMS systems already in place. The AI-BMS-on-chip technology removes all connectivity, latency, and privacy concerns related to cloud-based systems by being included into the battery itself.

“The AI-BMS chip addresses the need for real-time, efficient battery management in various applications.” Declared Chief Business Officer of Syntiant Mallik Monturi. Performance, safety, and battery life are all improved. For everything from consumer electronics to commercial vehicles, this makes it ideal.”

The AI-BMS-on-chip has the potential to significantly improve the electric vehicle (EV) market, from vehicles to personal eVTOL planes. By increasing range and delaying the need for new batteries, it may also result in significant cost savings for customers. The technology’s predictive capabilities may also reduce the likelihood of battery failures at times, like when you’re 200 feet above the ground on your way home from work in your Jetson.

The maximum life of most current lithium-ion batteries is typically 500–1,000 charge cycles before the battery starts to deteriorate. This might be increased to 625–1,250 cycles using the AI BMS from Eatron Technologies. LiFePO4 batteries can withstand up to 5,000 charge cycles with a typical BMS, and they are becoming increasingly popular in off-grid and recreational vehicle applications. Potentially, the NDP120 might raise these numbers to an incredible 6,250+ cycles.

This week in Stuttgart, Germany, Eatron is showcasing its AI-BMS-on-chip technology at The Battery Show Europe 2024.

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OpenAI Founder Sutskever Launches a new Artificial Intelligence Business Focused on “safe Superintelligence”



An unsuccessful attempt to remove OpenAI CEO Sam Altman was spearheaded by Ilya Sutskever, one of the company’s founders, who said he was launching a safety-focused AI startup.

The well-known AI researcher Sutskever, who quit the company that made ChatGPT last month, announced on social media on Wednesday that he and two co-founders had founded Safe Superintelligence Inc. Development of “superintelligence,” a term used to describe artificial intelligence systems that are more intelligent than people, is the company’s sole objective.

Work on safety and security will be “insulated from short-term commercial pressures,” according to the company’s business model, which Sutskever and his co-founders Daniel Gross and Daniel Levy said in a prepared statement. The company also pledged not to get sidetracked by “management overhead or product cycles.”

According to the three, Safe Superintelligence is an American business with headquarters in Tel Aviv and Palo Alto, California, “where we have deep roots and the ability to recruit top technical talent.”

Sutskever was part of a group that made an unsuccessful attempt last year to oust Altman. The boardroom shakeup, which Sutskever later said he regretted, also led to a period of internal turmoil centered on whether leaders at OpenAI were prioritizing business opportunities over AI safety.

Known as artificial general intelligence, or AGI, Sutskever co-led a team at OpenAI dedicated to securely creating AI that is superior to humans. He stated that he had intentions for a “very personally meaningful” project when he left OpenAI, but he gave no further information.

Sutskever declared that he made the decision to leave OpenAI

Days after his departure, his team co-leader Jan Leike also resigned and leveled at OpenAI for letting safety “take a backseat to shiny products.” OpenAI later announced the formation of a safety and security committee, but it’s been filled mainly with company insiders.

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New AI Solutions are Released by HPE and NVIDIA to Advance Generative AI



In order to assist businesses in implementing generative AI more quickly, Hewlett Packard Enterprise (HPE) and NVIDIA unveiled “NVIDIA AI Computing by HPE,” a new suite of AI technologies.

Main Provided:

HPE Private Cloud AI: This is the first solution to combine HPE’s AI storage, compute, and HPE GreenLake cloud with NVIDIA AI processing, networking, and software. It supports companies of all sizes in creating and implementing AI solutions in an effective and sustainable manner. The solution comes in four versions to suit different AI workloads and incorporates OpsRamp AI copilot for improved IT operations.


With the help of channel partners like Deloitte, HCLTech, Infosys, TCS, and Wipro as well as the teams of both organizations, the new AI services and solutions would be made available.

The president and CEO of HPE, Antonio Neri, stated: “While fragmented AI technologies present risks, generative AI has the potential to transform enterprises.” Companies may concentrate on developing new AI applications to increase productivity and revenue with the aid of our new AI solutions.

A new industrial revolution is being propelled by faster computers and generative AI. Our thorough integration with HPE’s technology will provide businesses cutting-edge AI services and infrastructure. said Jensen Huang, CEO and founder of NVIDIA.


HPE Private Cloud AI guarantees data protection, privacy, and governance while supporting a range of AI workloads. For more productivity, it provides a cloud experience with ITOps and AIOps. The system makes use of HPE AI Essentials software for AI and data foundation tools, as well as NVIDIA AI Enterprise software for data science pipelines and AI model deployment.

Technical Details:

The infrastructure consists of HPE ProLiant servers with NVIDIA GPUs and the NVIDIA GH200 NVL2 platform; NVIDIA Spectrum-XTM Ethernet networking; and HPE GreenLake for file storage.

Integration of OpsRamp with GreenLake Cloud:

With administration and observability tools, HPE Private Cloud AI offers a self-service cloud environment. Observability and AIOps are provided for the whole NVIDIA compute through the integration of OpsRamp with HPE GreenLake.

More Support for the Most Recent NVIDIA GPUs:

HPE ensures compatibility with future NVIDIA designs by adding support for the newest GPUs, CPUs, and Superchips from NVIDIA.

File Storage Certification:

With certification for NVIDIA DGX BasePOD and NVIDIA OVX systems, HPE GreenLake for File Storage offers a tried-and-true storage option for workloads that are heavy on AI and GPUs.

Global edge-to-cloud provider HPE assists businesses in gaining value from all of their data everywhere. With its solutions for cloud services, computers, artificial intelligence, and other areas, HPE improves business models and operational performance.

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