~hackernoon | Bookmarks (1932)

Explore a novel AI framework for concept interoperability, using self-supervised learning and prototypes to ensure concept stability across domains.

See comprehensive experiments evaluating AI concept-learning across domains, showing superior generalization, concept fidelity, and detailed visual insights.

Discover detailed experiments evaluating a novel concept-learning AI framework across multiple datasets and comparing it to state-of-the-art methods.

Heuristic context significantly enhances crowdsourced label consistency, especially for relevance. LLM-generated context lags in quality, failing to match human-level context accuracy.

We propose a fast learning algorithm for quotient PDFA to model LLMs under constrained generation and validate its efficiency and real-world utility.

We propose a new congruence and learning algorithm to analyze constrained neural text generation using quotient probabilistic automata.

A deeper cryptanalysis shows IEACD remains insecure due to key reuse, weak keystreams, and flawed diffusion, even after fixing IEATD vulnerabilities.

A deep cryptanalysis reveals flaws in IEATD and IEACD image encryption schemes, exposing vulnerabilities to known and chosen plaintext attacks.

More context leads to higher agreement on relevance labels. However, usefulness ratings become inconsistent with excessive context due to user feedback contradictions.

In 2024, nearly one in five online purchases ended up being returned. The democratization of eCommerce platforms has created an explosion in online retail presence. Research shows that consumers are ten times more likely to make confident purchasing decisions when faced with fewer options.

Ever made a tough call on your own and immediately second-guessed it? Machine learning models can do the same.

SOLmates is a project that turns NFTs into connectors. Each token is minted with a soulmate, but that pair stays locked until the right two holders come along. It's Tinder meets cryptography, minus the awkward DMs.

There are a few easy ways to check when an SSL certificate expires. Write Your Own Shell Script. Use a Prebuilt Script. Get Notified with a Telegram Bot.

Prompt engineering is evolving. These 8 tools turn it from guesswork into infrastructure. Visual workflows, memory graphs, auto-tuning, and more.

Muddy Waters didn’t blow the lid off anything. They threw together a thesis with a pile of ominous-sounding tech jargon and AI fearbait, hoping that was enough to make competent tech look suspicious to a market too tired to question anything. This teardown walks through it all: what AXON actually does, how retargeting really works, why the pixel isn’t some surveillance hack, and how...

Annotators rate AI responses more positively when lacking context. Dialogue summaries improve relevance labels, but usefulness judgments remain challenging.

This study investigates how varying the amount and type of dialogue context affects the consistency and quality of crowdsourced relevance and usefulness judgments in AI evaluation.

Varying dialogue context impacts crowdsourced judgments on relevance and usefulness in AI evaluation. LLMs like GPT-4 help improve consistency and efficiency in assessments.

Too much or too little dialogue context skews how annotators rate AI systems. Summarized context from LLMs improves label consistency with less effort.

Explore how Black women harness imagination as resistance, redefining success, research, and healing beyond whiteness and institutional domination.

HackerNoon shares an awesome tech company from our tech company database. This week, we showcase Superlinked - a Python framework & cloud infrastructure for AI engineers. Superlinked has worked with a who’s who of tech companies that includes MongoDB, BrandAlley, and Redis.

HackerNoon’s monthly product update is here! 🚀 Explore your new reading recommendations, new mobile app inbox, words written stats, and more!

Big Tech is taking over healthcare by owning the data. Companies like Google, Amazon, and Microsoft are partnering with hospitals and collecting sensitive health data to fuel AI, insurance, and targeted advertising. This raises concerns about privacy, AI bias, and the ethics of data monetization. Patients need stronger control over their health data to avoid a future where profits trump patient care.

Explore the power of radical acceptance for Black women in academia, envisioning a liberated future beyond institutional violence and oppression.