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A solid data strategy is critical for business success in today's data-driven world. Many companies struggle to make their data strategies work, leading to missed opportunities, wasted resources, and stagnated growth. This article explores the common pitfalls of data strategies and provides practical steps for CEOs to align their teams.

AI is increasingly used in cybersecurity for tasks like threat detection, vulnerability assessment, and incident response. While AI helps manage large data sets and automates routine tasks, it still requires human oversight for decision-making. Cybercriminals also leverage AI for phishing and deepfakes. The future of AI in cybersecurity involves greater automation, but human expertise remains crucial for interpreting data and making strategic decisions.

In a world where digital currencies and blockchain-based games are on the rise, Meme Alliance is emerging as a unique player, bringing together the most popular memecoin communities in a groundbreaking first-person shooter game.

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. By @darragh [ 6 Min read ] The shift to interest-based algorithms on social media is a massive update, changing how we crea...

Aspiring to be a blockchain validator? Learn the process and earn rewards for securing the network, as shared by aelf, layer 1 AI blockchain.

Join me as I share the process of building LaunchFast, a Remix Stack, in public. Discover how I designed a high-converting landing page using ChatGPT and iterated through 100+ versions to improve sales. Learn about entrepreneurship, marketing, and the importance of copy that sells.

The concept of Zero Trust has emerged as the foundation for data access. Unlike previous models that assumed trust within a network, Zero Trust ensures that no one, whether inside or outside, is trusted by default. This is especially relevant in an era where AI and machine learning are reshaping how we use and manage data.

Bitcoin is a unique monetary revolution that highlights the importance of decentralization in enabling humans to regain power over the fruits of their labor. Bitcoin is intended to replace the current system. To do this, you need to think of Bitcoin as an MoE for everyday use. All the financial giants that have entered the Bitcoin world, except Fidelity, have delegated the management of...

Laxmi Sarat Chandra Nunnaguppala has over nine years of experience and a history of providing strong security information and event management (SIEM) solutions. Gartner estimates cybersecurity expenditures reached $150 billion worldwide, with most changes driven by AI and ML. His AI-based solutions find anomalies and forecast possible weaknesses, enabling companies to strengthen their defenses.

There were no AI-powered tools back in those days that could swoop in and solve your problems for you. Every problem was a mountain which you had to climb alone. Countless late nights staring at my screen, combing through lines of code trying to figure out where I did it wrong. Debugging was like detective work.

Phaver, a leading multi-protocol social application, has announced the launch of its native token, Phavercoin, with the ticker $SOCIAL. Phaver aims to create an environment where creators can monetize their content directly, and users become both owners and beneficiaries of their social interactions.

Chromia, a Layer-1 blockchain platform known for its relational database architecture, has announced significant developments at the TOKEN2049 conference in Singapore. The company unveiled a $20 million Data and AI Ecosystem Fund and detailed plans for its upcoming 'Asgard' Mainnet Upgrade. These initiatives aim to bolster Chromia's capabilities in handling data-intensive applications and integrating artificial intelligence (AI) functionalities.

Ledger has been a major player in the crypto storage sector since 2014. The Ledger Stax stands out with its sleek design and added features. It's equipped with a Secure Element Chip ST33K1M5, certified with CC EAL6+ for high security.

There is a lot of vacillation around what is open source in LLMs—maybe weights, datasets or codes—but even if everything that is used to train a language model is open source, how much can be technically gleaned there to solve bias, since closed source LLMs have teams with access to everything yet are unable to solve it.   What can be done about bias—technically—that...

The study highlights vulnerabilities in DAG-based consensus protocols, revealing how greedy miners selecting transactions by fees outcompete honest miners, reducing throughput and encouraging centralization. Game theory analysis shows that the random transaction selection strategy fails to create a Nash equilibrium, making the system exploitable.

This section reviews DAG-based consensus protocols, comparing their performance, security, and scalability. It highlights the technical issues surrounding miner behavior and transaction processing, including novel approaches like Sycomore++ and challenges common to DAG protocols, such as double spending.

To mitigate greedy miners in DAG protocols, countermeasures include enforcing randomness in transaction selection via consensus protocols like Sycomore and implementing fixed transaction fees. These measures aim to reduce incentives for profit manipulation and ensure fairness, although fixed fees may still result in decreased throughput.

Arjun Kannan, co-founder of ResiDesk, is bringing a fresh perspective to real estate's age-old problems. He's harnessing the power of Large Language Models (LLMs) - AI systems that can understand and generate human-like text. It's a deceptively simple approach: use cutting-edge AI to handle tasks like decoding leases.

We used films of a ferromagnetic material of recognized technological importance, Bi:YIG. We obtained magnetic images of the labyrinthine patterns using a microscope with polarized light 31. We specifically focused on the evolution of the Labyrinthine patterns under the demagnetization field protocol described below.

This paper is the first in a series of articles on junction and terminal detection in computer vision. It is based on the R-CNN pipeline for identifying junctions and crossings in retinal vascular images. The authors present their method for identifying these linear structures using the Hessian Matrix. They also present the results of their experiments.

Token 2049 Attendees Can Collect DOTphin Proof of Presence Digital Avatars and Contribute to Real-World Environmental Impact Sovereign Nature Initiative (SNI) has joined forces with Unique Network and WalletConnect to launch DOT phin. Attendees are invited to visit the Polkadot booth (Booth P34 and 42, located on level 5 of the Marina Bay Sands Convention Center) and collect their Proof of presence (PoP)

Quantum thermodynamics is a rapidly progressing field aimed at understanding the thermodynamics at the quantum level. We construct a quantum critical Otto engine that is powered by finite temperature baths. We show that the work output of the engine shows universal power law behavior that depends on the critical exponents of the working medium, as well as the temperature of the cold bath.

TM-CNN (TM Matching - Convolutional Neural Network) was designed to detect a multitude of small objects in images, such as defects in magnetic labyrinthine patterns. TMCNN was used to identify these structures in 444 experimental images, and the results were explored to deepen the understanding of magnetic materials. In testing, TM-CNN achieved an impressive F1 score of 0.988.