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TikTok has become the fifth most popular social media platform overall and the second most popular after YouTube among teenagers. The platform is popular for sharing short videos, but its popularity as a self-diagnosing tool for mental health disorders is a big reason it's outpacing competitors.

The Bipartisan Infrastructure Law generally targets broadband investments to areas with poor connectivity or high price barriers, effectively addressing communities in need. However, there are exceptions, such as Alaska's high per-capita investment due to its low population density and challenging geography, and Texas’s lower per-capita allocation despite its large grant. States like Ohio and New York show high ACP enrollment but low BEAD funding,...

This paper is available on arxiv(https://arxiv.org/abs/1608.00771) under CC BY 4.0 DEED license. Authors: Legal prose is linked via parameters (name-value pairs) to the smart contract code that provides automation. This could be achieved by using the list of parameters to connect the legal prose to a set of smart software agents.

We focus on smart contracts with the expectation that they will be performed using smart code. There is no consensus on the definition of this use of the term “smart contract’ — each definition is different in subtle ways. We adopt a higher-level definition based on the two topics of automation and enforceability. We elaborate four key topics of terminology, automation, enforceability, and semantics.

The Bipartisan Infrastructure Law’s broadband investments lead to significant supply chain impacts across sectors. Key sectors like Manufacturing and Professional Services are projected to see notable growth, with increases of $6.85 billion and $11.9 billion, respectively. The Arts sector will also benefit, while Agriculture, Mining, and Utilities show smaller growth. The BEAD program's indirect benefits are greater compared to ACP subsidies, with overall positive...

The Bipartisan Infrastructure Law’s broadband funding programs are estimated to increase US GDP by $146 billion, with direct impacts from the investment totaling $74.5 billion. The BEAD Program, ACP, and TBCP contribute significantly, with the BEAD Program potentially increasing GDP by $84.8 billion. The overall Keynesian multiplier for the broadband investment is 2.45, indicating substantial economic benefits from these initiatives.

The aim of Smart Contract Templates 2 is to support the management of the complete lifecycle of ‘smart’ legal contracts. Smart legal contracts could potentially be implemented as software agents operating on a wide range of technology platforms. We consider how contracts are written, how they are enforced, and how to ensure that the automated performance is faithful to the meaning of the legal...

Zuckerberg says he believes AI should and will develop in a similar way to Linux, but currently, most big tech companies are leading the charge with closed models. By making AI models freely available, more companies will access and experiment with the technology, which may fuel AI-startups and job creation.

This section analyzes broadband investment distribution under the Bipartisan Infrastructure Law, highlighting state-level BEAD allocation and ACP enrollment. It reveals significant differences in funding per household and enrollment rates across states, showing that wealthy states often have low BEAD allocation and ACP enrollment, while less connected states receive more funding but may have lower enrollment due to lack of existing infrastructure.

At EthCC, Ethan Buchman, co-founder of Cosmos and CEO of Informal Systems, emphasized moving beyond token launches to create sustainable and inclusive financial systems. His project, Cycles, aims to address real-world financial challenges by leveraging blockchain for collaborative finance. Buchman's unique background in biophysics, permaculture, and distributed systems shapes his vision for using blockchain to build more robust and equitable financial infrastructures. By focusing...

Coze and HackerNoon announce the #AI-chatbot writing contest with $6500 in prizes. Open to AI enthusiasts and writers, participants can explore Coze's no-code platform to create AI bots and share their experiences on HackerNoon. Contest runs from July 26, 2024, to October 26, 2024.

A whopping 55% of SaaS vendors hide their pricing. This lack of transparency frustrates customers and ultimately hurts businesses. Price transparency refers to how easily potential customers can find pricing information. In this article, we'll look at price transparency, its benefits, challenges, and strategies companies can use.

BiasPainter's bias detection was manually inspected for accuracy. With a high accuracy rate of 90.8%, the manual review confirmed that BiasPainter reliably identifies social biases, including age, gender, and race changes in generated images.

BiasPainter effectively detects social bias in image generation models by calculating image bias scores and analyzing word bias. Results show varied bias levels across models, with insights into gender, age, and race biases. For instance, Stable Diffusion 2.1 exhibits notable age bias, while InstructPix2Pix shows less bias overall.

This article rounds up a list of eight popular funds and ETFs specialising in the burgeoning fields of AI, blockchain, and autonomous technologies. As emerging technologies come with higher risks, these fund options let investors diversify their portfolios and minimise concentration risks.

Staying true to your principles while maintaining a good relationship with your colleagues is crucial and something you must balance. Navigating these conversations requires a nuanced approach, as respecting their authority and direction is essential. We explore the techniques an employee can use to help you communicate your perspective while preserving a productive and positive relationship.

BiasPainter is tested on five commercial and research image generation models, including Stable Diffusion, Midjourney, and InstructPix2Pix. Using 54 seed images and 228 prompts, we generate 12,312 image pairs to evaluate bias, ensuring a thorough assessment of each model's social bias.

HackerNoon’s Startups of the Year 2024 is just around the corner, and this year, we are going nuclear! If you are interested in targeting more than 100,000+ tech startups competing across 5,000+ cities and 100+ tech industries, this is the campaign for you. This massive campaign will run for 6 months (through Q4 2024 and Q1 2025), ending in March 2025.

In a crowded digital landscape, content loops are a vital growth engine for sustainable, long-term success. These loops revolve around the cyclical process of users or companies publishing and sharing content, which, in turn, triggers user signups or returns. We'll dive into seven distinct types of content loops that can elevate your product above the competition.

More than 6 million older adults in the U.S. are living with dementia. Mayo Clinic scientists are using AI and machine learning to analyze electroencephalogram (EEG) tests more quickly and precisely, enabling neurologists to find early signs of dementia. Researchers at University of Tsukuba and IBM Research identified a new way to recognize dementia.

A computer on the Internet can have a static IP address, which means it stays the same over time. A dynamic IP address is an IP address that an ISP lets you use temporarily. Dynamic IP addresses are assigned using either DHCP or PPPoE. If a dynamic address is not in use, it can be automatically assigned to a different device.

There is a tendency to view memecoins as the ‘NFT bubble ’ of the current cycle, destined to burst. Memecoins such as DOGE, SHIB, and PEPE, for example, have continued to strongly defy this expectation with their skyrocketing valuations and community growth. This article sheds light on the need for memecoin as a unique subculture in the crypto space to embrace an ecosystem approach...

The paper evaluates the proposed OOD detection method using MNIST, CIFAR10, and GTSRB datasets. Results show that the local conditional probability (LCP) measure outperforms traditional methods like kNN, KD, LOF, and MD in detecting out-of-distribution data. The LCP method, combined with deep autoencoders for feature learning, effectively identifies anomalies in various datasets, including noise and reformatted data.

The paper presents a framework for OOD detection that combines deep learning with statistical measures. Using autoencoders for feature extraction and the novel local conditional probability (LCP) for scoring, the study finds LCP to be superior to traditional methods like KD, LOF, MD, and kNN. The proposed method effectively identifies abnormal data across MNIST, CIFAR10, and GTSRB datasets, proving valuable for AI quality management...