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Musk To Update Vision For Tesla At Investor Day

International Business Times

Elon Musk will aim to quiet any doubts about Tesla's standing in the electric car race on Wednesday when the serial entrepreneur convenes an investor day. Invoking his trademark flare, Musk promised to reveal "Master Plan 3" at the gathering, entailing "the path to a fully sustainable energy future for Earth," he said on Twitter in early February. The event, which will be held at Tesla's factory in Texas, will be webcast at 2100 GMT on Wednesday. "Since he is making promises for all citizens of the earth, and not only investors, there better be something pretty big," said Jessica Caldwell, an auto industry expert at Edmunds.com. Caldwell would like to see more clues on how Tesla plans to boost production.


NVIDIA Announces Financial Results For Fourth Quarter And Fiscal 2023

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SANTA CLARA, Calif., Feb. 23, 2023 โ€” NVIDIA (NASDAQ: NVDA) today reported revenue for the fourth quarter ended January 29, 2023, of $6.05 billion, down


Nvidia stock rises after slight beat driven by A.I. chips

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Nvidia stock rose over 8% in extended trading on Wednesday after the company reported slightly higher revenue and net income than Wall Street expected, despite a year-over-year decrease in both categories. Here's how the chipmaker did versus Refinitiv consensus expectations for the quarter ending January: Nvidia reported $0.57 in GAAP net income per share. Nvidia forecast $6.5 billion in sales in its first quarter, higher than the $6.33 billion expected by Wall Street. Although both revenue and earnings were down from last year's $1.32 per share and $7.64 billion in sales, Nvidia has increasingly been seen by investors as one of the chip stocks best positioned to endure an economic slowdown that hurts PC and semiconductor sales. Nvidia's data center business, which includes chips for AI, continued to grow, suggested that it could continue to benefit heavily from artificial intelligence software like ChatGPT and Microsoft Bing's AI chatbot.


Research Analyst I - Defence Data Development at Janes - Bengaluru, Karnataka, India

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Janes enables militaries, governments, and defence companies to make critical decisions. Our expert-driven tradecraft, developed over 120 years, combined with human-machine teaming, delivers assured open-source intelligence across military capabilities and order of battle, equipment, events, countries, companies, and markets. Linking millions of assured data points, Janes data model creates a framework of interconnected open-source defence intelligence. This allows our customers to integrate all relevant data and connections into a single intelligence environment to deliver a more complete and accurate answer. Using Janes, our customers can use their scarce resource more effectively, to get to better decisions with higher confidence, more quickly.


Omnicom CEO Wants to Embrace Generative AI as Quickly as Possible

WSJ.com: WSJD - Technology

"All of the automation that we're looking at enhances the capabilities and makes the jobs easier for our best and brightest people, and it eliminates a lot of the otherwise mundane projects or activities," Mr. Wren said on the company's earnings call Tuesday. CMO Today delivers the most important news of the day for media and marketing professionals. His comments were in response to an analyst's question about how technology from Microsoft Corp. -backed OpenAI could affect Omnicom's business and the advertising market overall. Microsoft is integrating the ChatGPT tech into its Bing search engine. The company reported organic revenue growth of 7.2% in the fourth quarter, beating the average analyst estimate of 3.7% organic revenue growth, according to FactSet.


Long Text and Multi-Table Summarization: Dataset and Method

arXiv.org Artificial Intelligence

Automatic document summarization aims to produce a concise summary covering the input document's salient information. Within a report document, the salient information can be scattered in the textual and non-textual content. However, existing document summarization datasets and methods usually focus on the text and filter out the non-textual content. Missing tabular data can limit produced summaries' informativeness, especially when summaries require covering quantitative descriptions of critical metrics in tables. Existing datasets and methods cannot meet the requirements of summarizing long text and multiple tables in each report. To deal with the scarcity of available data, we propose FINDSum, the first large-scale dataset for long text and multi-table summarization. Built on 21,125 annual reports from 3,794 companies, it has two subsets for summarizing each company's results of operations and liquidity. To summarize the long text and dozens of tables in each report, we present three types of summarization methods. Besides, we propose a set of evaluation metrics to assess the usage of numerical information in produced summaries. Dataset analyses and experimental results indicate the importance of jointly considering input textual and tabular data when summarizing report documents.


The AI Behind Claude, the ChatGPT Competitor That Has Raised Over $1 Billion

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I recently started an AI-focused educational newsletter, that already has over 150,000 subscribers. TheSequence is a no-BS (meaning no hype, no news etc) ML-oriented newsletter that takes 5 minutes to read. The goal is to keep you up to date with machine learning projects, research papers and concepts. When it comes to the space of generative AI and foundational models, OpenAI seems to have hit escape velocity with the recent release of technologies such as ChatGPT. Given the computational requirements of these systems, it seems logical that the core competition of OpenAI will come from incumbent AI labs such as Google-DeepMind and Meta AI.


From Meta to Microsoft, AI's big moment is here

The Japan Times

Big Tech companies have a new obsession: artificial intelligence. This week, chief executives across the sector packed earnings calls with mentions of the heavily hyped technology, which until recently existed more in the background than as a solid contributor to the bottom line. In conference calls after financial results, tech execs uttered the phrases "AI," "generative AI," or "machine learning" from two to six times as often as they did in the previous quarter, according to a review of conference transcripts. This could be due to a conflict with your ad-blocking or security software. Please add japantimes.co.jp and piano.io to your list of allowed sites.


Analysis: From Meta to Microsoft, AI's big moment is here

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Feb 3 (Reuters) - Big Tech companies have a new obsession: artificial intelligence. This week, chief executives across the sector packed earnings calls with mentions of the heavily hyped technology, which until recently existed more in the background than as a solid contributor to the bottom line. In conference calls after financial results, tech execs uttered the phrases "AI," "generative AI," or "machine learning" from two to six times as often as they did in the previous quarter, according to a review of conference transcripts by Reuters. Executives from Microsoft Corp (MSFT.O) and Alphabet Inc (GOOGL.O), behind the latest big rivalry in tech, took their battle to the conference-call front lines. On Thursday, Alphabet appeared to edge out the competition.


Cloud growth doesn't stop economy from biting Amazon and Alphabet - SiliconANGLE

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The sky is no longer the limit for cloud computing giants, as the slowing economy strikes at one of tech's biggest growth stories of the past decade. Two of the top cloud providers, Amazon Web Services Inc. and Google LLC, today revealed revenues in their cloud units, which have boosted their growth and profits for years now. The results weren't bad -- but cloud is no longer on the kind of rocket ride that can overcome big slowdowns in e-commerce and ad spending. Alphabet's Google Cloud unit posted a 33% rise in its fourth quarter, to $7.315 billion, with an operating loss of $480 million, down significantly from a loss of $890 million a year ago. Zacks Consensus Forecast had Google Cloud revenue rising 32% from a year ago, to $7.3 billion, so it managed to meet expectations but was still down from 38% growth in the third quarter.