AI-Driven Antitrust and Competition Law: Algorithmic Collusion, Self-Learning Pricing Tools, and Legal Challenges in the US and EU

AI-Driven Antitrust and Competition Law: Algorithmic Collusion, Self-Learning Pricing Tools, and Legal Challenges in the US and EU

AI in Market Economics and Pricing Algorithms AI-driven pricing models, particularly those utilizing reinforcement learning (RL), can lead to outcomes resembling traditional collusion, fundamentally altering market dynamics. Unlike human-set strategies in oligopoly models, AI agents, like Q-learning, autonomously learn pricing strategies from data, often resulting in supra-competitive pricing due to agents’ ability to detect rivals’…

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Data-Driven Solutions to Waste Management Challenges

Data-Driven Solutions to Waste Management Challenges

Scrapp Founder Brings Engineering Rigor and a Practical Approach (Source: john / stock.adobe.com; generated with AI) Based on an interview with Mikey Pasciuto Despite numerous public service campaigns and policy improvement initiatives, meeting waste management goals remains a significant challenge. The Environmental Protection Agency (EPA) asserts that from 1990 to 2015, US-recycled municipal solid waste…

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How NoC architecture solves MCU design challenges

How NoC architecture solves MCU design challenges

Microcontrollers (MCUs) have undergone a remarkable transformation, evolving from basic controllers into specialized processing units capable of handling increasingly complex tasks. Once confined to simple command execution, they now support diverse functions that require rapid decision-making, heightened security, and low-power operation. Their role has expanded across industries, from managing complex control systems in industrial automation…

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Future-Proofing Business Continuity: BCDR Trends and Challenges for 2025

Future-Proofing Business Continuity: BCDR Trends and Challenges for 2025

As IT environments grow more complex, IT professionals are facing unprecedented pressure to secure business-critical data. With hybrid work the new standard and cloud adoption on the rise, data is increasingly distributed across different environments, providers and locations, expanding the attack surface for emerging cyberthreats. While the need for a strong data protection strategy has…

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10 Key SOC Challenges and How AI Addresses Them

10 Key SOC Challenges and How AI Addresses Them

SOC challenges like alert fatigue, skill shortages and slow response impact cybersecurity. AI-driven solutions enhance SOC efficiency, automation and threat detection. In the latest technological era, SOCs which stands for Security Operations Centers play a prominent role in organizational protection. It protects organizations from cyber-attacks and threats. However, there are a lot of issues happening…

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Open-source revolution: How DeepSeek-R1 challenges OpenAI’s o1 with superior processing, cost efficiency

Open-source revolution: How DeepSeek-R1 challenges OpenAI’s o1 with superior processing, cost efficiency

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More The AI industry is witnessing a seismic shift with the introduction of DeepSeek-R1, a cutting-edge open-source reasoning model developed by the eponymous Chinese startup DeepSeek. Released on January 20, this model is challenging OpenAI’s o1 —…

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