January 2026

The best financial APIs in 2026 empower developers, analysts, and fintech startups with real-time and historical data for stocks, forex, crypto, and commodities. From Marketstack’s global market coverage to Intrinio’s financial statements, these APIs streamline trading, portfolio tracking, and AI-powered analysis, making enterprise-grade market insights accessible to all.

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The automation of analog integrated circuit (IC) design remains a longstanding challenge, primarily due to the intricate interdependencies among physical layout, parasitic effects, and circuit-level performance. These interactions impose complex constraints that are difficult to accurately capture and optimize using conventional design methodologies. Although recent advances in machine learning (ML) have shown promise in automating specific stages of the analog design flow, the development of holistic, end-to-end frameworks that integrate these stages and iteratively refine layouts using post-layout, […]

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This paper presents the web-based platform Machine Learning with Bricks and an accompanying two-day course designed to teach machine learning concepts to students aged 12 to 17 through programming-free robotics activities. Machine Learning with Bricks is an open source platform and combines interactive visualizations with LEGO robotics to teach three core algorithms: KNN, linear regression, and Q-learning. Students learn by collecting data, training models, and interacting with robots via a web-based interface. Pre- and post-surveys with 14 students […]

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Fully Homomorphic Encryption (FHE) enables computations directly on encrypted data, but its high computational cost remains a significant barrier. Writing efficient FHE code is a complex task requiring cryptographic expertise, and finding the optimal sequence of program transformations is often intractable. In this paper, we propose CHEHAB RL, a novel framework that leverages deep reinforcement learning (RL) to automate FHE code optimization. Instead of relying on predefined heuristics or combinatorial search, our method trains an RL agent to […]

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While model-based reinforcement learning (MBRL) improves sample efficiency by learning world models from raw observations, existing methods struggle to generalize across structurally similar scenes and remain vulnerable to spurious variations such as textures or color shifts. From a cognitive science perspective, humans segment continuous sensory streams into discrete events and rely on these key events for decision-making. Motivated by this principle, we propose the Event-Aware World Model (EAWM), a general framework that learns event-aware representations to streamline policy […]

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After acquiring AutoDS in July 2024, Fiverr has expanded its dropshipping footprint further with the acquisition of Yaballe, a company that notes that artificial intelligence (AI) and dropshipping automation are driving modern e-commerce.  Dedicated to Independent Operation Across Shopify dropshipping and eBay dropshipping, Yaballe’s automation platform has earned trust for its listing, tracking, and order processing technology. To maintain this, Yaballe will remain independently operated. The automation platform will collaborate closely with both Fiverr and AutoDS to maximize […]

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