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With this short post, I’ll walk you through what comparable is, why it’s useful and how you can leverage it for cleaner, type-safe Go code.

With $50 or less, you can have your entire web stack running in a Coolify instance on EC2.

In early 2025, the potential of AI seems limitless, as showcased at CES 2025. Notable AI gadgets like Omi, Friend, and Limitless are designed to listen and interact with users in unprecedented ways. Despite concerns over privacy and acceptance, these devices reflect a shift towards integrating AI companions into daily life, pushing boundaries of technology.

Bipolar disorder is often described as a spectrum of emotional extremes, characterized by manic highs and depressive lows. To anyone facing similar struggles, remember that your unique experiences can be a source of creativity and inspiration.

Today AI is rapidly becoming part of everyday life, and NVIDIA has once again taken center stage with a new development: Project DIGITS.

Eric Blossom was an active participant in the cypherpunk mailing lists in the 1990s. He started with this inclination in 1994, trying to improve privacy in phone calls. In 1998, he joined several other entrepreneurs to found the company Starium. Starium aimed to offer affordable, highly secure voice encryption for businesses and individuals.

In this article you will build a simple AR demo by writing a few lines of code.

How are you, hacker? 🪐Want to know what's trending right now?: The Techbeat by HackerNoon has got you covered with fresh content from our trending stories of the day! Set email preference here. Donald Trump Executes The Ultimate Crypto Rug Pull By @maken8 [ 3 Min read ] Donald Trump has already withdrawn $500m from ...

The Pro-Sim is the pinnacle of the sequential shifter market. It is a generic USB device that requires no additional software or drivers. The Pro-sim is the car simulator of choice for many professional drivers including Lando Norris.

4 executive orders were signed by President Trump allowing America to tap its vast oil wealth to enrich itself. This will make oil cheaper and more readily available everywhere. Which imo is a good thing for Bitcoin, AI, oil backed cryptocurrency projects, and the world economy at large. Let the oil flow.

Liquidity is a feature of the cryptocurrency market by which an individual or an organization can immediately purchase or trade virtual currency without causing a radical change in its price. Low liquidity leads to wide and loose price swings, so investors get worse prices for their tokens. Limited trading volumes can render Bitcoin vulnerable to orchestrated schemes by small groups of people.

This section introduces algorithms to counter the Tie-Shift and Tie-Stay variants of the Win-Stay, Lose-Shift opponent. Against Tie-Shift, the strategy involves learning the opponent's action order, recording best responses, and predicting their next moves. For Tie-Stay, the approach is simpler, as the opponent only shifts actions after a loss. Both algorithms ensure nearly perfect wins after an initial learning phase.

The Hydra Doom Tournament highlighted Cardano’s Hydra solution, achieving 1M TPS and proving its scalability. With 15.5B transactions processed in 24 hours without failure, Hydra demonstrated its potential for gaming, DeFi, and P2P applications. Its horizontal scaling via Hydra heads and innovations like the temporary head model ensure efficiency, reliability, and adaptability, revolutionizing blockchain use cases across industries.

This section introduces algorithms to exploit the Myopic Best Responder and Gambler's Fallacy opponents in zero-sum games. For the Myopic Best Responder, Algorithm 2 guarantees wins after recording best responses in initial rounds. Against Gambler’s Fallacy, Algorithm 3 uses patterns of overdue actions to predict and counter the opponent, ensuring consistent wins after the initial rounds.

This section introduces Algorithm 8 for defeating the Highest Average Payoff opponent. By learning best responses through sequential play and employing the ellipsoid algorithm for prediction, players can exploit the opponent's average-based strategy. Losses are limited to O(4^n + n^4 log(nr)), balancing efficient play with accurate predictions over extensive rounds.

This section explores scenarios where the opponent’s strategy is unknown but comes from a known set. Using a modified halving algorithm, predictions can be made with bounded errors. Learning best responses depends on the shared properties of the strategies in the set or distinguishing between them. Some strategies, however, are indistinguishable, preventing consistent exploitation and guaranteeing only neutral outcomes in certain cases.

Algorithm 6 outlines a strategy to exploit the Tie-Stay variant of the Win-Stay Lose-Shift opponent in permissible games. By learning best responses and the opponent's action order in the initial phases, players can predict actions and counter them effectively.

This section covers three exoskeleton controllers: Time-Based Torque (TBC), Hybrid Torque (HTC), and Adaptive Model-based Torque Control (AMTC), explaining their distinct methods for improving performance.

Interaction portrait analysis shows HTC is ideal for reducing muscle activation in power augmentation, while AMTC suits rehabilitation by encouraging user control. Future research will focus on motor-impaired users.

IP analysis reveals AMTC fosters active user engagement, ideal for rehabilitation, while HTC reduces exertion, suiting industrial needs. Metrics guide controller optimization.

The study highlights how TBC controllers fail to adapt to users, leading to inconsistent metrics at slower speeds. Co-adaptation with smarter controllers improves exoskeleton performance.

This study reveals AMTC significantly lowers oxygen uptake and interaction torque compared to other controllers during exoskeleton-assisted walking, enhancing performance and reducing user effort.

This study introduces Interaction Portraits, a polar visualization metric, to evaluate human-exoskeleton co-adaptation. Findings reveal distinct strategies for rehabilitation and power augmentation, optimizing wearable robot performance.