Latest AI & Business News
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The best robot vacuums for 2024: Expert tested and reviewed
We’ve tested nearly every popular robot vacuum on the market from brands like Roomba, Dreame, Narwal, Roborock, and more. These are our favorite models.
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18 Best Fitness Trackers (2024), Tested and Reviewed
Whether you’re skiing in the backcountry or trampolining in the backyard, we have an activity tracker for you.
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4 Useful Slack Features You May not Be Using Yet
From Canvases to Lists, learn how to use some of these recently added—but still not widely known—Slack features.
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This New Pac-Man Machine Brought Me Closer to My Teen Kids
The Pac-Man arcade cabinet from Arcade1Up brings retro gaming joy to the whole family.
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Michelangelo: An Artificial Intelligence Framework for Evaluating Long-Context Reasoning in Large Language Models Beyond Simple Retrieval Tasks
In artificial intelligence and natural language processing, long-context reasoning has emerged as a crucial area of research. As the volume of information that needs to be processed grows, machines must be able to synthesize and extract relevant data from massive datasets efficiently. This goes beyond simple retrieval tasks, requiring models to locate specific pieces of…
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Sony Bravia 9 TV Review: Can LED Screens Get Much Better?
Sony’s top mini LED TV is the ultimate in decadent brightness.
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MathPrompt: A Novel AI Method for Evading AI Safety Mechanisms through Mathematical Encoding
Artificial Intelligence (AI) safety has become an increasingly crucial area of research, particularly as large language models (LLMs) are employed in various applications. These models, designed to perform complex tasks such as solving symbolic mathematics problems, must be safeguarded against generating harmful or unethical content. With AI systems growing more sophisticated, it is essential to…
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Meet the People Traveling the World, Thanks to Crowdfunding
To finance their travels, these people turned to the bank of friends, family, and strangers.
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HERL (Homomorphic Encryption Reinforcement Learning): A Reinforcement Learning-based Approach that Uses Q-Learning to Dynamically Optimize Encryption Parameters
Federated Learning (FL) is a technique that allows Machine Learning models to be trained on decentralized data sources while preserving privacy. This method is especially helpful in industries like healthcare and finance, where privacy issues prevent data from being centralized. However, there are big problems when trying to include Homomorphic Encryption (HE) to protect the…
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CORE-Bench: A Benchmark Consisting of 270 Tasks based on 90 Scientific Papers Across Computer Science, Social Science, and Medicine with Python or R Codebases
Computational reproducibility poses a significant challenge in scientific research across various fields, including psychology, economics, medicine, and computer science. Despite the fundamental importance of reproducing results using provided data and code, recent studies have exposed severe shortcomings in this area. Researchers face numerous obstacles when replicating studies, even when code and data are available. These…