Summary of Cerence (CRNC) Conference Call - June 10, 2025 Company Overview - Cerence is a global leader in voice AI interaction within the automotive industry, spun off from Nuance Communication in 2019, focusing on automotive software solutions [4][5] - The company claims over 50% penetration in the global automotive market, with technology implemented in over 500 million vehicles [5][6] Key Points Market Position and Growth - Cerence is well-positioned in a growing market for automotive software, with strong relationships with major automotive OEMs [6] - The company has a unique market position with higher margins and less exposure to tariffs compared to other suppliers [8][10] Tariff Impact - As a software company, Cerence is not directly impacted by tariffs, but there are concerns about overall production implications [10][11] - The company anticipates limited production concerns for the upcoming quarter, despite potential tariff impacts [19][20] China Market - Cerence faces challenges penetrating the Chinese market due to strong local competition but maintains relationships with large Chinese OEMs for exports outside of China [12][13] - The company sees potential growth in relationships with Chinese OEMs for their products outside of China [13][15] Revenue and Royalties - Pro forma royalties have been relatively flat over the past year, with expectations for growth tied to new product launches and pricing strategies [20][21] - The company has seen a decline in prepaid license revenue, with a target of around $20 million for the current year [23][24] Pricing Per Unit (PPU) - The PPU metric has shown growth, increasing from $450 to $487 over the trailing twelve months, with expectations for further growth as new products are launched [25][26] - The company aims to increase PPU through higher penetration of its technology in vehicles and the introduction of more valuable AI products [30][31] AI Product Development - Cerence is excited about the upcoming XUI product, which will integrate a large language model for enhanced voice interaction capabilities in vehicles [45][46] - The XUI product aims to provide a unified interface for both embedded and connected features, enhancing user experience [34][60] Competitive Landscape - Competition comes from both big tech companies and smaller competitors, but Cerence believes its proven implementation capabilities give it an advantage [50][51] - There is a reluctance among OEMs to adopt big tech solutions, favoring branded experiences instead [62] Additional Insights - The company is focused on creating win-win situations with OEMs by potentially reducing costs while increasing capabilities [41][43] - Cerence is exploring ways to enhance user interaction through multimodal capabilities, allowing for more natural voice commands [39][40] This summary captures the essential points discussed during the conference call, highlighting Cerence's market position, challenges, and future growth strategies.

After a rough start to the year, tech stocks have come roaring back. As of this writing, the tech-heavy Nasdaq Composite index has surged by more than 25% over the last two months. So with market sentiment swinging back in favor of tech stocks, let's have a closer look at two social media stocks that I believe are buys right now. Reddit First up is Reddit (RDDT). A relative newcomer as far as social media stocks go, Reddit has only been a public company for a little over a year. However, during that time, i ...

IDEAL团队 投稿 量子位 | 公众号 QbitAI 大幅缓解LLM偏科，只需调整SFT训练集的组成。 本来不擅长coding的Llama 3.1-8B，代码能力明显提升。 上海交大&上海AI Lab联合团队提出创新方法 IDEAL ，可显著提升LLM在多种不同领域上的综合性能。 此外，研究还有一些重要发现，比如： 具体来看—— IDEAL方法 问题建模： 首先按照不同 的领域准备高质量的训练数据集： ， 并给出对应的用于验证的验证集： 。通过在训练集上面训练模型θ，获得训练集上的最优参数：θ 论文 希望在验证 集上的损失达到最小。为了能够方便的调整训练集，论文引入了对应的变量β ，并将这个优化问题 显示地建模了出来： SFT后LLM部分能力甚至退化 大型语言模型 (LLM) 凭借其强大的理解和逻辑推理能力，在多个领域展现了惊人的能力。除了模型参数量的增大， 高质量的数据是公认的LLM性能提升最关键的影响因素。 当对模型进行监督微调（SFT）时，研究人员发现 LLM在多任务场景下常出现"偏科"现象 ——部分能力突出而部分 能力并未涨进，甚至退化。这种不平衡的现象导致大模型在不同的领域上能力不同，进而影响用户 ...

IDEAL团队 投稿 量子位 | 公众号 QbitAI 大幅缓解LLM偏科，只需调整SFT训练集的组成。 本来不擅长coding的Llama 3.1-8B，代码能力明显提升。 上海交大&上海AI Lab联合团队提出创新方法 IDEAL ，可显著提升LLM在多种不同领域上的综合性能。 此外，研究还有一些重要发现，比如： 具体来看—— SFT后LLM部分能力甚至退化 大型语言模型 (LLM) 凭借其强大的理解和逻辑推理能力，在多个领域展现了惊人的能力。除了模型参数量的增大， 高质量的数据是公认的LLM性能提升最关键的影响因素。 当对模型进行监督微调（SFT）时，研究人员发现 LLM在多任务场景下常出现"偏科"现象 ——部分能力突出而部分 能力并未涨进，甚至退化。这种不平衡的现象导致大模型在不同的领域上能力不同，进而影响用户体验。 上海交大和上海AI Lab的研究者迅速将目光聚焦到SFT训练的训练集上，是否可以通过调整训练集的组成来缓解LLM 偏科的情况？直觉上来看，直接将LLM的弱势科目的训练数据增加一倍，就可以让最后的结果发生变化。但是，由于 训练数据之间的耦合关系，研究者通过建模量化每个领域数据对于最终结果的 ...

JFrog (FROG) 2025 Conference June 05, 2025 01:00 PM ET Speaker0 Everybody, my name is Koji Keda. I am one of the software analysts here at Bank of America. Welcome to day three of our technology conference. I am absolutely thrilled to have JFrog doing a fireside chat with us. We have the CFO, Ed Grabshied, and we also have IR, Jeff Schreiner here. So thank you so much for being here. We appreciate it. I always ask the obligatory introductory comments or question of, you know, what is JFrog? What do you guys ...

Gamified mobile learning company Duolingo (DUOL 1.35%) has been a market-crushing investment. The stock closed its first day of trading in 2021 at $139 per share. As of this writing, just four years later, it's trading at over $520 per share, up 276% and trading near an all-time high. For perspective, the S&P 500 is up just 34% during this time.Duolingo is outrunning the market for at least two simple reasons. First, it's growing like a weed. Second, it's actually quite a profitable business. The end result ...

BEIJING, May 29, 2025 /PRNewswire/ -- Concord Healthcare Group Co., Ltd. ("Concord Healthcare"), a subsidiary of Concord Medical Services Holdings Limited (the "Company") (NYSE: CCM), which subsidiary is listed on the Main Board of The Stock Exchange of Hong Kong Limited (the "HKSE") under the stock code 2453.HK, announced that Concord Healthcare had made important progress in precise tumor diagnosis and treatment technology. Concord Healthcare's self-developed large language model ("LLM") in the vertical f ...

Cerence (CRNC) FY 2025 Conference May 29, 2025 10:50 AM ET Speaker0 Morning, everybody. We're continuing on with our next session. Very pleased to have Cerence with us at the conference for a fireside chat. Lots of very interesting topics to talk about in in automotive, AI. From the company, we're very pleased to have Tony Rodriguez, executive vice president and CFO, of of the company. We'll keep it to a fireside chat session. If you do have any questions in the room, feel free to raise your hand. We'll get ...

JFrog (FROG) FY 2025 Conference May 28, 2025 11:25 AM ET Speaker0 Okay, thank you. Everybody, I'm Andrew Sherman, software analyst at TD Cowen. Pleased to have Jeff Schreiner, Head of IR at JFrog. Thank you for being here. Speaker1 Thank you for having us. Speaker0 And a quick mention for Xdl II. We appreciate your vote if you think we've earned it. Thank you very much. So it's been a busy past year for JFrog. Let's just recap the quarter, which was a good one, and some new interesting stuff going on. So th ...

[Music] Hello everyone wherever you are in the world today. Welcome to this DDN technical webinar. I'm Joel Kaufman, senior technical product specialist for DDN. And today I'm talking with Kevin Cochran, chief marketing officer of Vulture. And as the topic says on screen, we are going to be discussing how to build scalable foundations for large language models and frankly for most any type of AI. Kevin, welcome to the webinar. Great. So great to be here Joel. Looking forward to today's webinar and discussio ...