Core Insights - ServiceNow (NOW) is set to release its Q3 2025 results on October 29, with expected revenues of $3.35 billion, reflecting a 19.8% year-over-year growth [1] - The consensus estimate for earnings per share is $4.21, indicating a 13.2% increase from the previous year [1] Revenue and Earnings Estimates - The Zacks Consensus Estimate for Q3 2025 subscription revenues is $3.03 billion, suggesting a 20.2% year-over-year growth [6] - ServiceNow anticipates Q3 subscription revenues between $3.26 billion and $3.265 billion, indicating a GAAP growth of 20%-20.5% [6] Customer and Deal Activity - In Q2 2025, ServiceNow secured 40 deals worth over $1 million, with significant contributions from ITSM, ITOM, ITAM, security, and risk [7] - The company ended the reported quarter with 528 customers generating over $5 million in annual contract value (ACV), with a 30% year-over-year increase in customers contributing $20 million or more [8] Market Position and Performance - ServiceNow shares have declined 12.2% year-to-date, underperforming the Zacks Computer & Technology sector, which has returned 25.9% [11] - The company's value score of F indicates a stretched valuation, trading at a forward price/sales ratio of 12.79X compared to the sector's 7.05X [14] Strategic Initiatives - ServiceNow is leveraging AI and machine learning to enhance its solutions, with new collaborations with Microsoft, NVIDIA, and Amazon [17][19] - Recent acquisitions, including Logik.ai and Moveworks, are aimed at expanding CRM and automation capabilities [20] Conclusion - ServiceNow's strong portfolio and partnerships are expected to drive long-term subscription revenue growth, although macroeconomic challenges and valuation concerns persist [21]

AI Fundamentals & Applications - AI is an umbrella term encompassing machine learning algorithms, including supervised learning for prediction and unsupervised learning for data classification [2][3] - Deep reinforcement learning combines cognitive ability and reinforcement learning, enabling AI agents to learn complex behaviors through trial and error to maximize rewards [4] - Generative AI, such as chatbots and LLMs, utilizes transformers with billions of tokens to understand and differentiate between sentences by assigning attention to specific words [9][10] - Natural Language Processing (NLP) is used to teach machines to understand human language, including tonality and emotions, by building lexicons that associate words with feelings [11][12] Future Trends & Challenges - Quantum computing will enhance AI capabilities by replacing bits with qubits, increasing speed and accuracy in solving complex mathematical equations [14][15] - AI systems can inherit stereotypes, biases, and racisms from the data they are trained on, reflecting real-world biases present in historical data [16] Societal Impact & Ethical Considerations - The focus should be on coexisting and collaborating with AI, utilizing it as a tool to build a new world and solve global issues [1][18][19] - The younger generation has a responsibility to ensure that the future of AI is ethical, responsible, and fair to everyone [16] - The key question is not whether AI will take over, but how humans want to grow up with AI, daring to dream bigger with this powerful tool [20]

Core Insights - Freight Technologies, Inc. has enhanced its Fleet Rocket platform by integrating 23 new GPS providers, increasing the total to 54, positioning it as one of the most connected TMS platforms in North America [1][2][4] Company Overview - Freight Technologies, Inc. (Fr8Tech) is a logistics management innovation company that offers a diverse portfolio of technology-driven solutions aimed at optimizing and automating supply chain processes [5] - The company's offerings include Fr8App for cross-border shipping, Fr8Now for less-than-truckload shipping, Fr8Fleet for dedicated capacity services, Waavely for ocean freight management, and Fleet Rocket as a scalable TMS solution [5] Product Development - The Fr8Radar module of Fleet Rocket aggregates real-time geolocation data from GPS hardware across trucks and trailers in the U.S. and Mexico, enhancing visibility and operational intelligence [3][4] - The integration of additional GPS systems is part of Fr8Tech's long-term strategy to create a highly connected and intelligent TMS solution [2][4] Strategic Partnerships - Fleet Rocket has established partnerships with leading GPS providers such as FourKites and Samsara, which strengthens its network and enhances its service offerings [3][4] Future Direction - The ongoing expansion of Fleet Rocket's capabilities reflects the company's commitment to building a digital backbone for modern freight operations in North America, focusing on transparency, security, and performance [4]

Group 1 - Compugen Ltd. (NASDAQ: CGEN) is an immuno-oncology biotech utilizing its Unigen platform for discovering immune checkpoints, drug candidates, and biomarkers [1] - The Unigen platform is based on Artificial Intelligence and Machine Learning technologies [1] Group 2 - The article does not provide any financial performance data or specific investment recommendations related to Compugen Ltd. [2][3]

Core Viewpoint - Humanoid Global Holdings Corp. has appointed Saman Farid to its Investment Advisory Board, aiming to enhance its investment strategies in the humanoid robotics and embodied AI sector [1][4]. Group 1: Appointment of Saman Farid - Saman Farid is the founder and CEO of Formic Technologies Inc., which focuses on providing robotics-as-a-service to help U.S. manufacturing businesses improve labor and productivity through automation [2]. - Farid has extensive experience in global investments in artificial intelligence and robotics, having previously led Baidu Ventures' global investment fund and founded Comet Labs [3]. - His role at Humanoid Global will involve advising on investment and capital allocation, including deal origination, investment analysis, due diligence, and portfolio monitoring [4]. Group 2: Advisory Agreement Details - The advisory agreement with Saman Farid is set for a term of twenty-four months starting from October 27, 2025, with the option for either party to terminate at any time [5]. - The company has granted Farid 25,000 incentive stock options at an exercise price of $1.31, vesting over a year, and 25,000 restricted share units that will vest immediately [6]. Group 3: Company Overview - Humanoid Global Holdings Corp. is a publicly traded investment issuer focused on building a portfolio of pioneering companies in the humanoid robotics and embodied AI sector, providing liquidity and access to an actively managed portfolio [7]. - The company aims to support transformative technologies through capital and strategic consultation, including go-to-market strategies and regulatory pathways [7].

That's a wrap!Over to you: What other LLM development skills would you add?If you found it insightful, reshare it with your network.Find me → @_avichawlaEvery day, I share tutorials and insights on DS, ML, LLMs, and RAGs.Avi Chawla (@_avichawla):8 key skills to master LLM Engineering:(free/open-source resources below) https://t.co/kG8qQ6asAB ...

Content Focus - The content focuses on sharing tutorials and insights on Data Science (DS), Machine Learning (ML), Large Language Models (LLMs), and Retrieval-Augmented Generation (RAGs) [1] Call to Action - The content encourages readers to reshare the information with their network if they find it insightful [1] Author Information - The author shares tutorials and insights daily and can be found on Twitter/X with the handle @_avichawla [1]

Model Calibration Importance - Modern neural networks can be misleading due to overconfidence in predictions [1][2] - Calibration ensures predicted probabilities align with actual outcomes, crucial for reliable decision-making [2][3] - Overly confident but inaccurate models can lead to suboptimal decisions, exemplified by unnecessary medical tests [3] Calibration Assessment - Reliability Diagrams visually inspect model calibration by plotting expected accuracy against confidence [4] - Expected Calibration Error (ECE) quantifies miscalibration, approximated by averaging accuracy/confidence differences across bins [6] Calibration Techniques - Calibration is important when probabilities matter and models are operationally similar [7] - Binary classification models can be calibrated using histogram binning, isotonic regression, or Platt scaling [7] - Multiclass classification models can be calibrated using binning methods or matrix and vector scaling [7] Experimental Results - LeNet model achieved an accuracy of approximately 55% with an average confidence of approximately 54% [5] - ResNet model achieved an accuracy of approximately 70% but with a higher average confidence of approximately 90%, indicating overconfidence [5] - ResNet model thinks it's 90% confident in its predictions, in reality, it only turns out to be 70% accurate [2]

MARK: MORNING, EVERYONE. WE HAVE THE PARTY PANEL HERE, BEFORE LUNCH. THIS IS A FASCINATING GROUP OF LEADERS AND INNOVATORS HERE TO TALK ABOUT AI.I THOUGHT, ON THIS BEAUTIFUL ENGLISH DAY, WE WOULD START WITH ALL OF US IMAGINING TAKING A TRIP TO WARMER CLIMATES. LET'S FIRE UP GETYOURGUIDE. JOHANNES, I AM COMING IN AS A CONSUMER.HOW WILL I ENCOUNTER AI, AND HOW WILL IT WELCOME OR EXPERIENCE. JOHANNES: GETYOURGUIDE IS THE LARGEST CONSUMER PLATFORM FOR BOOKING EXPERIENCES WORLDWIDE. WE JUST BROKE THE NEWS THIS M ...

We’ll be at @NeurIPS in San Diego, from Tuesday 2nd to Sunday 7th December, meeting exceptional machine learning engineers, machine learning research engineers and machine learning research scientists at all levels to join our teams in London and Lausanne.Meet us in person during the NeurIPS conference.Head to the comments for the link to apply. See you in San Diego! ...