Financial News
DATAMETREX REPORTS OVER $9.2M REVENUE WITH OVER $961K NET INCOME IN Q3Datametrex
Significant increase in Q3 net income of over $961K, up 464% compared to the previous year. During the nine months ended September 30, 2022, the Company repurchased 17,807,500 common shares of the Company for $2,040,350. Toronto, Canada, November 22, 2022 – Datametrex AI Limited (the "Company" or "Datametrex'') (TSXV: DM) (FSE: D4G) (OTCQB: DTMXF) is pleased to report its financial results for the third quarter. The Company has filed its financial statements ("FS") on SEDAR and related management discussion and analysis ("MD&A") for the quarterly results ending September 30, 2022 ("Q3 2022"). For the three months ended September 30, 2022 (Q3-2022), the Company reported revenue of $9,202,894, net income of $961,922 and EBITDA of $2,699,239. For the nine months ended September 30, 2022 (Q3-YTD), revenue was $27,544,338, net income of $2,791,511, and EBITDA of $5,965,145. The Company continues to hold a strong cash and marketable securities position of approximately $13 million after ...
China's Baidu Sees Little Impact From U.S. Chip Controls
An executive of Baidu Inc., the Chinese search-engine giant and major artificial-intelligence company, shrugged off new U.S. export restrictions on advanced semiconductors designed to slow China's military advance. Baidu's Executive Vice President Dou Shen said in an earnings call with analysts on Tuesday the U.S. export controls would have limited short-term impact on the company, and he believes its AI businesses would benefit from the new rules in the long run. In October, the U.S. Commerce Department rolled out new restrictions on advanced chip technology, which require a license for U.S. companies to export cutting-edge chips used for AI and supercomputing and chip-making equipment key to China's technological goals. The move vastly expanded on existing rules restricting the export of advanced technologies to China. Mr. Shen said that a large portion of Baidu's AI and cloud-computing businesses don't rely heavily on advanced chips and that the Beijing-based company had stocked enough high-end chips for its businesses that need them.
China's Baidu beats Q3 revenue estimates as ad sales recover
Nov 22 (Reuters) - Baidu Inc's (9988.HK) third-quarter revenue beat Wall Street estimates on Tuesday, as China's search engine giant benefited from a recovery in online advertising sales and growth in its cloud and artificial intelligence (AI) business. Baidu, which generates most of its revenue from ads on its search engine, has seen a recovery since the second quarter, before which strict zero-COVID policies in China had led to frequent lockdowns that undermined economic activity. Baidu's revenue rose 2% to 32.54 billion yuan ($4.56 billion) in the three months to Sept. 30, beating the 31.79 billion yuan average estimate of 20 analysts, according to Refinitiv data. Baidu Core's non-online marketing revenue, an area including cloud and other AI businesses, grew by 25% year on year to 6.5 billion yuan. The company has been focusing on self-driving technologies over the past five years, as it looks to diversify its revenue sources.
Baidu Revenue Up 2% Amid Cost-cutting Drive
Chinese internet giant Baidu reported on Tuesday third-quarter revenues of 32.5 billion yuan ($4.6 billion), representing a year-on-year increase of 2 percent. Its earnings report showed Baidu posted a net loss of 146 million yuan for the three months through September as it reined in costs and trimmed back far deeper losses from the equivalent quarter last year. Chinese technology majors have struggled in recent months amid an economic slowdown, Covid-19 curbs that have hammered consumer sentiment, and tighter regulatory scrutiny. Earnings reports from internet titans, including Alibaba and JD.com, have presented a mixed picture in recent weeks. "Baidu Core delivered a solid set of financial and operational results in the third quarter, despite the continued challenges posed by the Covid-19 resurgence," said CEO Robin Li.
Revealing Robust Oil and Gas Company Macro-Strategies using Deep Multi-Agent Reinforcement Learning
Radovic, Dylan, Kruitwagen, Lucas, de Witt, Christian Schroeder, Caldecott, Ben, Tomlinson, Shane, Workman, Mark
The energy transition potentially poses an existential risk for major international oil companies (IOCs) if they fail to adapt to low-carbon business models. Projections of energy futures, however, are met with diverging assumptions on its scale and pace, causing disagreement among IOC decision-makers and their stakeholders over what the business model of an incumbent fossil fuel company should be. In this work, we used deep multi-agent reinforcement learning to solve an energy systems wargame wherein players simulate IOC decision-making, including hydrocarbon and low-carbon investments decisions, dividend policies, and capital structure measures, through an uncertain energy transition to explore critical and non-linear governance questions, from leveraged transitions to reserve replacements. Adversarial play facilitated by state-of-the-art algorithms revealed decision-making strategies robust to energy transition uncertainty and against multiple IOCs. In all games, robust strategies emerged in the form of low-carbon business models as a result of early transition-oriented movement. IOCs adopting such strategies outperformed business-as-usual and delayed transition strategies regardless of hydrocarbon demand projections. In addition to maximizing value, these strategies benefit greater society by contributing substantial amounts of capital necessary to accelerate the global low-carbon energy transition. Our findings point towards the need for lenders and investors to effectively mobilize transition-oriented finance and engage with IOCs to ensure responsible reallocation of capital towards low-carbon business models that would enable the emergence of fossil fuel incumbents as future low-carbon leaders.
The Top 10 Leaders in AI Companies - IEMLabs Blog
Best AI Technology leaders are Google, Amazon, IBM, Microsoft, Salesforce, Oracle, NVIDIA, Intel, SAP, and Adobe. The global artificial intelligence market is expected to grow from $2.9 billion in 2019 to $19.6 billion by 2024, at a CAGR of 42.6% during the forecast period. The growth of the artificial intelligence market is driven by the increasing demand for intelligent virtual assistants, such as Amazon Alexa and Google Home, and the increasing adoption of AI-based technologies by enterprises. According to Zion Market Research, The global artificial intelligence market is anticipated to increase from $59.7 billion in 2021 to $422.4 billion by 2028. Robotics, automation, and AI are causing disruption in almost every business.
Nvidia Issues Muted Outlook as Videogaming Business Slows
Graphics chip maker Nvidia Corp. issued a muted outlook and reported a sharp decline in quarterly sales, driven by waning consumer demand for its videogaming chips after a pandemic-fueled boom and the onset of the cryptowinter. America's largest chip company by value on Wednesday said revenue fell 17% to $5.93 billion after gaming-segment sales more than halved in its fiscal third quarter. Net profit was $680 million. The sales were above expectations in a survey of analysts by FactSet, but net profit fell short. A flood of Nvidia's products are being unloaded by people who had used them in calculation-intensive cryptocurrency mining that may be denting demand, Nvidia's Chief Financial Officer Colette Kress said.
Meeting camera startup Owl Labs lands $25M and partnership with HP
Owl Labs, a startup developing a linuep AI-powered meeting hardware, today announced that it raised $25 million in a Series C round led by HP Tech Ventures (HP's venture capital arm) with participation from Sourcenext, Matrix Partners, Spark Capital and Playground Global. The closing of the tranche marks the start of a strategic partnership with HP, Owl Labs CEO Frank Weishaupt says, which will see HP invest in Owl Labs' various product offerings while providing sales coverage and outreach with enterprise customers. HP, notably, recently acquired Poly, which developed a range of video and voice devices and software for virtual conferencing. Weishaupt sees no conflict, arguing that Poly's products are complementary with Owl Labs' and show "HP's commitment to transforming the workplace to a hybrid model." "The funding will allow Owl Labs to continue its accelerated growth … Owl Labs will use the investment to support product development and increase global adoption of the company's products, including the [Owl Labs'] product line," Weishaupt told TechCrunch in an email interview.
SoftBank's Masayoshi Son to Drop Flamboyant Earnings Presentation
Masayoshi Son, the billionaire boss of SoftBank Group Corp., has long presided over a quarterly earnings ritual of zany slide presentations. One included a goose laying multibillion-dollar golden eggs and another flock of unicorns flying upward along a chart of growth in artificial intelligence. Mr. Son is planning to step back from the routine when the giant technology investor delivers its earnings Friday, instead greeting attendees with short remarks before handing the baton to his chief financial officer, according to a SoftBank agenda for the event. It is slated to be a more sedate presentation than those from Mr. Son, who also isn't planning on taking questions from the media, according to people familiar with the company. The more subdued role--which is likely to continue, the people said--comes as Toyko-based SoftBank, the world's most active startup investor in recent years, is in the midst of a difficult run.
Ouster and Velodyne agree to merger, signaling consolidation in lidar industry
Ouster and Velodyne, two lidar companies, have agreed to a merger in an all-stock transaction, the companies said Monday. Both Ouster and Velodyne will maintain a 50% stake in the new company, according to the agreement that was signed on November 4. The merger comes as many in the industry, including autonomous vehicle technology company Cruise's CEO Kyle Vogt, have been expecting another round of consolidation in the lidar space. That's in part because there are too many lidar companies for how many OEMs are implementing the sensor for autonomous driving applications. It's also because many of these companies, including Ouster and Velodyne, went public via special purpose acquisition (SPAC) at potentially inflated valuations that were based on projected revenue, not actual revenue. Earlier this year, Velodyne acquired AI and lidar company Bluecity.ai,