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Digital Disruption through Technologies like AI, ML and Blockchain Set to Transform Indian Real Estate Ecosystem


New Delhi [India], November 26 (ANI/NewsVoir): Artificial intelligence has emerged as one of the biggest disruptors and game changers in the real estate landscape today, enabling a strategic, and empowered buying and selling experience. With the potential to carry out massive technological reforms across the sector AI is driving change with a technology-led immersive experience made possible just at the click of a button. These views were expressed by eminent leaders from the industry at'Leveraging AI in the Real Estate Landscape', a webinar organized by Techarc, a leading technology analytics, research and consultancy firm in association with Compass, the overseas development centre of Urban Compass Inc., a US-headquartered technology platform leading change with new age technologies such as AI & ML in the real estate industry. The panel called for leveraging the power of AI and its potential to transform the real estate landscape especially in India with appropriate investments. Incorporating data and AI based algorithms is enabling leading real estate platforms like Compass, in decision making process and at the same time is also assisting them in managing the substantial volumes of historic data that has been generated within the industry over the years and monitor bespoke KPIs in order to expedite procedures and extract useful data.

Global Machine Learning Markets Report 2021: The New Driving Force for DevOps -


DUBLIN--(BUSINESS WIRE)--The "Machine Learning: The New Driving Force for DevOps" report has been added to's offering. When they work together, software development and operations teams can advance a company's business transformation. The integration of these teams, also known as DevOps, streamlines the legacy software development process. However, with the growing emphasis on digital transformation, the pace of development and innovation has increased. Therefore, the need for optimal orchestration in DevOps is rising, which requires innovation and advanced tools and technologies.

GE Healthcare and Optellum Join Forces to Advance Lung Cancer Diagnosis with Artificial Intelligence


GE Healthcare and Optellum today announced that they have signed a letter of intent to collaborate to advance precision diagnosis and treatment of lung cancer. GE Healthcare is a global leader in medical imaging solutions. Optellum is the leader in AI decision support for the early diagnosis and optimal treatment of lung cancer. This press release features multimedia. Together, the companies are seeking to address one of the largest challenges in the diagnosis of lung cancer, helping providers to determine the malignancy of a lung nodule: a suspicious lesion that may be benign or cancerous.

NVIDIA - AI and gaming sales drive record revenues


No news or research item is a personal recommendation to deal. All investments can fall as well as rise in value so you could get back less than you invest. Nvidia reported record third quarter revenue of $7.1bn, up 50% year-on-year, with particularly strong growth in data centres and professional visualization. Operating profits rose 91% to nearly $2.7bn, with only a modest increase in sales, general & administrative expense. The group plans to pay dividends of $0.04 cents per share in the final quarter.

Earkick Raises $1M for Real-Time Mental Health Tracker


There are 30,000 mental health apps out there, but no solution to objectively measure outcomes. It's like having 30,000 diets and lacking a scale to assess daily progress,

The Best Black Friday TV and Soundbar Deals


Whether you're planning your annual viewing of White Christmas or gearing up for college football bowl season, now is a great time to upgrade your home theater. This Black Friday has steep discounts on many of our favorite TVs, from massive OLED displays to simple and affordable options with built-in Roku. There are also a wide assortment of great soundbars available for great prices this shopping holiday, making it a perfect time to just upgrade your sound already. Be sure to check out our guides to the Best TVs and Best Soundbars for more information about our favorite models right now. If you buy something using links in our stories, we may earn a commission. This helps support our journalism.

BrainChip Partners with MegaChips to Develop Next-Generation Edge-Based AI Solutions


BrainChip Holdings Ltd (ASX: BRN), (OTCQX: BCHPY) a leading provider of ultra-low power high performance artificial intelligence technology and the world's first commercial producer of neuromorphic AI chips and IP, today announced that MegaChips, a pioneer in the ASIC industry, has licensed BrainChip Akida IP to enhance and grow its technology positioning for next-generation, Edge-based AI solutions. A multibillion-dollar global fabless semiconductor company based in Japan, MegaChips provides chip solutions that fulfill various requirements, including low power consumption, cost and time to market, while achieving breakthrough functions and performance by fusing knowledge of Large Scale Integrations and applications for problems in device development. By partnering with BrainChip, MegaChips is able to quickly and easily maintain its industry innovator status by supplying solutions and applications that leverage the Akida revolutionary technology in markets such as automotive, IoT, cameras, gaming and industrial robotics. "As a trusted and loyal partner to market leaders, we deliver the technology and expertise they need to ensure products are uniquely designed for their customers and engineered for ultimate performance," said Tetsuo Hikawa, President and CEO of MegaChips. "Working with BrainChip and incorporating their Akida technology into our ASIC solutions service, we are better able to handle the development and support processes needed to design and manufacture integrated circuits and systems on chips that can take advantage of AI at the Edge."

Why Supply Chain Management Needs Machine Learning


Modern disruptive technologies like Machine Learning (ML) and Artificial Intelligence (AI) make their presence known in today's competitive markets. Organizations continuously attempt to improve profit margins, cut down on expenses, and provide a superior customer experience. It is evident that Artificial Intelligence and Machine Learning have become buzzwords in various industries, but what is their role, and what do they mean when it comes to Supply Chain Management? Using machine learning in logistics and supply chain management may aid in the automation of various routine processes, allowing businesses to concentrate on more strategic and significant business operations. Artificial intelligence and machine learning applications can be seen in every element of the supply chain process, including production, inventory management, procurement, warehousing, shipping, and customer support.

Deep tech startup announces upcoming token sale on Polkastarter

#artificialintelligence has already raised $9 million from over 60 world-class investors in their private sale round, ranging from business leaders, tech executives and blockchain experts to community leaders and top management from tier-1 companies. "This public token sale on Polkastarter is the next fundraising step for We plan to continue investing in innovation, empower creators to build without limitations, and innovate using blockchain technology and AI, everything based on governance and transparency for all AI models generated on the The company plans to raise another $1,170,000 in the public token sale, set to start on the 6th of December on the Polkastarter IDO platform, to help fund the further development of the first framework for ethical AI and blockchain, with a strong focus on synthetic media. Interested investors must pass the whitelisting process, open until the 26th of November, in order to be able to purchase $HEART tokens during the company's IDO.

Gartner Finds 33% of Technology Providers Plan to Invest $1 Million or More in AI Within Two Years


The survey also highlights the relative immaturity of AI technologies compared to the other innovation areas. Just over half of respondents report significant target customer adoption of their AI-enabled products and services. Forty-one percent of respondents cited AI emerging technologies as still being in development or early adoption stages, meaning there is a wave of potential adoption as new or augmented AI products and services enter general availability.