AI Engineering Resources - Stanford 提供 6 份 AI 工程师必备的速查表 [1] - 速查表涵盖监督/非监督机器学习 [1] - 速查表涉及深度学习 [1] - 速查表包含机器学习技巧与窍门 [1] - 速查表包括概率与统计 [1] - 速查表覆盖代数与微积分 [1]

The leaders who succeed in the coming year won't be machine learning experts. They'll be the ones who grasp how AI transforms human work and can guide their teams through that shift with clarity, empathy and humility. Here are five ways AI will transform the role of manager in 2026.Read more: https://t.co/IUlDKo0CKD ...

AI Resources - Stanford provides 6 must-read cheat sheets for AI Engineers [1] - The cheat sheets cover Supervised/Unsupervised ML, Deep Learning, ML Tips & Tricks, Probability & Statistics, Algebra & Calculus [1] Social Sharing - The author encourages readers to reshare the content [1] - The author shares tutorials and insights on DS, ML, LLMs, and RAGs daily [1]

AI Engineering Resources - Stanford provides 6 must-read cheat sheets for AI Engineers [1] - The cheat sheets cover Supervised/Unsupervised ML, Deep Learning, ML Tips & Tricks, Probability & Statistics, Algebra & Calculus [1]

Market Overview - The Law Enforcement Software Market was valued at USD 18.86 billion in 2025 and is projected to reach USD 40.82 billion by 2033, growing at a CAGR of 10.13% from 2026 to 2033 [1]. Growth Drivers - The expanding use of digital tools for public safety management, crime prevention, and investigation is driving growth in the law enforcement software market [2]. - The adoption of automated platforms and digital technologies is enhancing operational efficiency in police and public safety organizations [4]. Market Segmentation By Component - The solutions segment dominated the market with over 68.25% market share in 2025, driven by the need for operational efficiency and advanced tools [5]. - The services segment is expected to grow at the highest CAGR of 10.57% during the forecast period due to the demand for continuous support and training [5]. By Deployment - The cloud segment represented more than 71.48% of the market share in 2025, favored for its scalability, cost-efficiency, and accessibility [7]. - The on-premises segment is anticipated to grow at a CAGR of over 10.63%, offering customizable solutions for agencies [7]. Regional Insights - North America accounted for more than 36.23% of the law enforcement software market in 2023, integrating advanced technologies like AI and Big Data analytics [8]. - The Asia Pacific region is experiencing the highest growth rate with a CAGR of over 12.25% from 2026 to 2033, driven by urbanization and demand for advanced public safety solutions [9]. Key Players and Developments - Notable companies in the market include Axon, Motorola Solutions, Tyler Technologies, IBM, and Oracle, among others [12]. - Recent developments include Axon's introduction of new AI-powered tools and Oracle's enhancements to its Public Safety Suite with officer-worn cameras and real-time analytics [12].

Airbnb is using technology to stop disruptive parties before they start.By completing this form, you agree to receive marketing communications from PYMNTS and to the sharing of your information with our sponsor, if applicable, in accordance with our Privacy Policy and Terms and Conditions .Complete the form to unlock this article and enjoy unlimited free access to all PYMNTS content — no additional logins required.The online marketplace for short-term rentals uses machine learning-powered “anti-party techno ...

RT Avi Chawla (@_avichawla)- Google Maps uses graph ML to predict ETA- Netflix uses graph ML in recommendation- Spotify uses graph ML in recommendation- Pinterest uses graph ML in recommendationHere are 6 must-know ways for graph feature engineering (with code): ...

Core Insights - Digital Turbine (APPS) and PubMatic (PUBM) operate in the digital advertisement market, focusing on different segments: APPS as an on-device advertising platform and PUBM as a sell-side platform for ad publishers [1][2] Digital Turbine (APPS) - APPS' App Growth Platform (AGP) is gaining traction, connecting demand-side platforms (DSPs) with publishers, driven by an expanding SDK footprint and strong performance in the APAC region [3] - In Q2 of fiscal 2026, APPS' AGP supply volumes saw a 30% year-over-year increase in impressions, with improvements in targeting and return on ad spend through AI and machine learning [4][5] - The On Device Solutions segment is experiencing over 30% year-over-year revenue growth per device, supported by strong advertiser demand and improved pricing and fill rates [6] - APPS' AGP segment generated $44.7 million in revenue, reflecting a 20% year-over-year growth [5] PubMatic (PUBM) - PUBM is focusing on CTV, AI-driven automation, and sell-side data intelligence to mitigate macro pressures and reduced spending from legacy DSP customers [7] - Mid-tier DSP partners are driving growth, with ad spend from these partners increasing over 25% year-over-year, aided by the adoption of PUBM's AI-enabled tools [8] - PUBM launched Programmatic Guaranteed with a top-three DSP, enhancing efficiency in CTV and premium video deals, with Supply Path Optimization (SPO) accounting for over 55% of platform activity in Q3 2025 [9] - The company has invested heavily in AI, achieving a five times faster bid response speed and serving three times more ad requests per server [10] Performance Comparison - Over the past year, APPS shares increased by 246.2%, while PUBM shares declined by 42.7% [11] - APPS is experiencing strong growth in impressions and revenues, while PUBM is adapting through AI innovation and a diversified DSP mix [12] Earnings Estimates - The Zacks Consensus Estimate for APPS' fiscal 2026 earnings indicates a 5.7% year-over-year decline, with recent downward revisions [13] - PUBM's 2025 earnings estimate is 19 cents per share, reflecting a 75.6% year-over-year decline, but has been revised upward recently [13] Conclusion - APPS benefits from strong on-device demand and rapid revenue growth, while PUBM leverages CTV and AI to strengthen its market position [14] - In terms of valuation, APPS has a trailing P/B multiple of 3.75X, compared to PUBM's 1.76X [15] - APPS holds a Zacks Rank 1 (Strong Buy), indicating a stronger investment potential compared to PUBM, which has a Zacks Rank 3 (Hold) [17]

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. https://t.co/djM0vgEJOuAvi Chawla (@_avichawla):- Google Maps uses graph ML to predict ETA- Netflix uses graph ML in recommendation- Spotify uses graph ML in recommendation- Pinterest uses graph ML in recommendationHere are 6 must-know ways for graph feature engineering (with code): ...

Core Viewpoint - Planet Labs' stock surged 34% following the release of its latest earnings report, which included an increase in sales guidance for the full year [2][5]. Company Performance - Planet Labs operates the largest fleet of Earth orbit satellites, providing satellite imagery and geospatial data on a subscription basis [3]. - The company reported a break-even profit on an adjusted basis, which was better than the expected loss of 4 cents per share [4]. - Revenue for the quarter reached $81 million, exceeding estimates by $9 million and representing a 30% increase from $62 million in the same quarter last year [5]. Future Guidance - The company raised its revenue guidance for the next quarter to a range of $76 million to $80 million, with a conservative estimate of $78 million [5][6]. Sector Growth - Planet Labs is increasingly focusing on the government sector, having secured a contract with a European surveillance defense company, which contributed to growth [6]. - Revenue from the defense sector has shown significant year-over-year growth, offsetting some declines in the commercial segment due to seasonality [7][12]. Competitive Landscape - Competitors in the geospatial services market include private sector companies like Blue Sky and Safe Logic, but Planet Labs maintains a unique position due to its partnerships, such as with Google for geospatial data [9][10]. Stock Performance - The stock has appreciated by 350% over the past year, reflecting strong demand for surveillance programs associated with government and defense [12][14]. - The company is on a path toward consistent profitability, which is attracting investor attention [14].