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What Is E-Waste Hacking?

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Most e-waste goes to landfills, which is damaging to the environment — and to personal security....
Most e-waste goes to landfills, which is damaging to the environment — and to personal security. If people improperly dispose of a device, hackers can steal their personal data off the physical drives. To avoid e-waste hacking when disposing of a device, shred the data storage systems, use Darik's Boot and Nuke, leverage data encryption, and use reputable third parties.

data data-security e-waste environmental-impact hackers
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The TechBeat: Portfolio Management: All The Ways AI Is Transforming Modern Asset Strategies (4/27/2024)

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creativity hackernoon-newsletter latest-tect-stories tech-beat technology
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CGAAL: Wrapping It Up and What Comes Next

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CGAAL is our model checker of alternating-time temporal logic properties in concurrent games. CGAAL checks such...
CGAAL is our model checker of alternating-time temporal logic properties in concurrent games. CGAAL checks such properties by encoding the problem as an extended dependency graph. It then computes the satisfaction relation using the distributed local on-the-fly CERTAINZERO algorithm by Dalsgaard et al. We provide multiple novel search strategies for the algorithm and allow concurrent games to be expressed in our language LCGS.

atl-model-checker cgaal computer-science heuristics prism-games
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How We Evaluated CGAAL: The Experiments That We Ran

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To evaluate our tool, we run several experiments. In our experiments we compare our global algorithm,...
To evaluate our tool, we run several experiments. In our experiments we compare our global algorithm, our local algorithm using our various search strategies, and the established tool PRISM-games. We use several different concurrent game case studies. Some of these are PRISM-games case studies adapted to LCGS for CGAAL and determinised if needed. Others are well-known algorithms and games constructed during the development of...

cgaal computer-science heuristics how-does-cgaal-work prism-games
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A Tool Overview of CGAAL: A Distributed On-The-Fly ATL Model Checker

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This paper is available on arxiv under CC 4.0 license. The syntax of the language is...
This paper is available on arxiv under CC 4.0 license. The syntax of the language is inspired by PRISM-lang used by the PRISM model checker to model stochastic multi-player games with rewards. The primary feature of CGAAL is the verification of ATL properties for CGSs.

atl-model-checker cgaal cgaal-tool-overview heuristics what-is-atl
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How CGAAL Model-Checks: A Deeper Insight

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In order to check if a CGS satisfies an ATL property, CGAAL encodes the problem as...
In order to check if a CGS satisfies an ATL property, CGAAL encodes the problem as an extended dependency graph and finds a fixed-point assignment describing the satisfaction relation.

cgaal dependency-graphs heuristics how-does-cgaal-work model-checking
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How to Stitch Your Own Safety Net: Bonding Together

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The Dropout Early Warning System (DEWS) assesses every incoming high schooler in Wisconsin. It issues a...
The Dropout Early Warning System (DEWS) assesses every incoming high schooler in Wisconsin. It issues a numerical score as well as a color-coded label: green for low risk, yellow for moderate risk, or red for high risk. Irrespective of race, DEWS is wrong nearly three quarters of the time when it predicts a student won't graduate on time.

dews dropout-algorithm kids-racial-profiling racism the-markup
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Getting Code Coverage Data for Each Request Coming to A Python Web Server

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Code coverage is a metric used in software testing to measure the extent to which the...
Code coverage is a metric used in software testing to measure the extent to which the source code of a program has been executed during testing. It indicates the percentage of code that has been covered by the test cases. We will demonstrate how to get the coverage data for each incoming request on a python web server built using any web framework.

coverage-data duplicate-tests python python-requests python-web-server
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Skynet Is Not the One You Should Be Fearing - Fear Your Favourite Car Manufacturer Instead

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Xaoimi, the smartphone OEM, has entered the electric vehicle arena with the SU7 and with it,...
Xaoimi, the smartphone OEM, has entered the electric vehicle arena with the SU7 and with it, a factory setup that is 91% automated with 400 robots armed with HD cameras and can operate in the dark. The factory of the future will have only two employees, a man and a dog.

artificial-intelligence future-of-robots humans-vs-machines robotics skynet
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What Is Wrong With Token Rewards And How to Fix It

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Token rewards have become a popular mechanism for incentivizing various behaviors. Despite their widespread adoption, token...
Token rewards have become a popular mechanism for incentivizing various behaviors. Despite their widespread adoption, token reward systems often encounter significant challenges and criticisms. LIX, a loyalty management system, is one such name. We spoke with Andrew Doxsey — CEO and Co-Founder — to understand the vision for the platform.

andrew-doxsey-interview founder-interview lix-ceo-interview startup-founder-interview token-rewards
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"How Many Colors Can the Human Eye See?": The Application

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For instance, from this graph, we can conclude that given the same time to complete the...
For instance, from this graph, we can conclude that given the same time to complete the test, older users typically perform slightly better than their younger counterparts. This can be attributed to differences in visual experience and color perception needs across various age groups. You're invited to participate in the study by using the Dehancer Color Test. The second part of this series will...

appdevelopment color-picker human-eyesight-colors javascript-development learn-programming
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Pro-Cap: Leveraging a Frozen Vision-Language Model for Hateful Meme Detection: Appendix

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This appendix provides in-depth details on implementing hateful meme detection models, insights from ablation studies, visual...
This appendix provides in-depth details on implementing hateful meme detection models, insights from ablation studies, visual comparisons of Pro-Cap and basic PromptHate, and results highlighting the impact of using answers from single probing questions, suggesting optimization directions for meme detection models.

computational-efficiency fine-tuning-models hateful-meme-detection multimodal-analysis probing-based-captioning
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Hateful Meme Detection: Leveraging PVLMs for Zero-shot VQA Probing

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This study explores using pre-trained vision-language models (PVLMs) for hateful meme detection without fine-tuning, showcasing BERT's...
This study explores using pre-trained vision-language models (PVLMs) for hateful meme detection without fine-tuning, showcasing BERT's superiority and introducing PromptHate with probe-captioning. Limitations include heuristic probing question usage, suggesting future directions for optimization and deeper interpretation using gradient-based approaches.

computational-efficiency fine-tuning-models hateful-meme-detection multimodal-analysis probing-based-captioning
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Pro-Cap: Leveraging a Frozen Vision-Language Model for Hateful Meme Detection

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Pro-Cap introduces a novel approach to hateful meme detection by utilizing frozen Vision-Language Models (PVLMs) through...
Pro-Cap introduces a novel approach to hateful meme detection by utilizing frozen Vision-Language Models (PVLMs) through probing-based captioning, enhancing computational efficiency and caption quality for accurate detection of hateful content in memes.

computational-efficiency fine-tuning-models hateful-meme-detection multimodal-analysis probing-based-captioning
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Performance Analysis of Diverse Hateful Meme Detection Datasets

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We thoroughly evaluate and analyze the probing-based Pro-Cap method for hateful meme detection. Discover its performance...
We thoroughly evaluate and analyze the probing-based Pro-Cap method for hateful meme detection. Discover its performance on different datasets, understand its impact through an ablation study and baseline comparison, and gain insights into its effectiveness and stability in detecting hateful content.

computational-efficiency fine-tuning-models hateful-meme-detection multimodal-analysis probing-based-captioning
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Comparing Hateful Meme Detection Models: BERT-based vs. PromptHate with Pro-Cap

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Our method uses a probing-based approach to gather critical image details essential for detecting hateful content...
Our method uses a probing-based approach to gather critical image details essential for detecting hateful content in memes. We design VQA questions for this purpose, generate Pro-Cap as image captions, and integrate them with BERT-based and PromptHate models for comparison in hateful meme detection effectiveness.

computational-efficiency fine-tuning-models hateful-meme-detection multimodal-analysis probing-based-captioning
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Zero-Shot Visual Question Answering with PVLMs

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This section defines the task of zero-shot visual question answering (VQA) and explores the use of...
This section defines the task of zero-shot visual question answering (VQA) and explores the use of pre-trained vision-language models (PVLMs) like BLIP-2, highlighting its Querying Transformer component for bridging the modality gap in cross-modal understanding.

blip-2-model fine-tuning-models hateful-meme-detection multimodal-analysis probing-based-captioning
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Navigating the Complexity of Hateful Meme Detection

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Explore various methodologies in hateful meme detection, including fine-tuning PVLMs, model ensembling, and leveraging pre-trained models...
Explore various methodologies in hateful meme detection, including fine-tuning PVLMs, model ensembling, and leveraging pre-trained models like BERT and CLIP. Learn how the probing-based captioning approach enhances contextual understanding for improved detection of hateful content in memes.

computational-efficiency fine-tuning-models hateful-meme-detection multimodal-analysis probing-based-captioning
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Navigating Complex Search Tasks with AI Copilots: AI Copilots

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ai-copilots assistive-agents complex-search-tasks contextual-search-results generative-ai
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Decrypting the Future: Programmable Cryptography And Its Role in Modern Tech

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Programmable cryptography is still a new concept, but one that offers the chance to make very...
Programmable cryptography is still a new concept, but one that offers the chance to make very complicated problems much simpler.

breaking-ciphers cryptographic-protocols cryptography programmable-cryptography the-cesar-cipher
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Inside the dYdX Chain: Exploring the Future of Cryptocurrency Governance

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Unveil the dynamic governance model of the dYdX Chain and how it empowers community involvement in...
Unveil the dynamic governance model of the dYdX Chain and how it empowers community involvement in shaping the future of decentralized finance.

crypto-governance cryptocurrency dlt dydx dydx-chain
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PIECHAIN Demo: Exploring a Practical Blockchain Interoperability Framework

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PIECHAIN introduces a Kafka-based framework for blockchain interoperability, ensuring atomic cross-chain transactions and enabling practical applications...
PIECHAIN introduces a Kafka-based framework for blockchain interoperability, ensuring atomic cross-chain transactions and enabling practical applications like cross-chain auctions, with support for Ethereum, Hyperledger Fabric, and Quorum blockchains.

atomicity-in-blockchain cross-chain-communication digital-asset-exchange hackernoon-top-story kafka-based-communication
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Learn How Free Apps Make Money

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There are countless ways to profit from free apps. Monetization is the ability to earn from...
There are countless ways to profit from free apps. Monetization is the ability to earn from your creations. Free apps provide trial periods where users can use them at no cost. The aim is to lure them into paying a subscription fee once they are used to the product or service.

app-monetization business-growth business-strategy data-monetization digital-advertising
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Running Your Own Local LLMs: Updated for 2024 with 8 New Open Source Tools!

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Think Local LLMs are beyond you? Guess again! They are more accessible than ever! An absolutely...
Think Local LLMs are beyond you? Guess again! They are more accessible than ever! An absolutely fantastic collection of local llms all run through open source tools. Have a blast running these LLMs. Some of them, like oobabooga and Academic GPT are incredibly capable in multiple domains and useful in more ways than you know!

llm-research llms-in-2024 local-llms open-source-llm run-your-own-local-llm
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