Neural network implementation for predicting income based on demographic data is complex but rewarding. Data encoding, training process, and network creation are crucial steps in achieving accurate predictions.
MIT CSAIL researchers developed MAIA, an automated agent that interprets AI vision models, labels components, cleans classifiers, and detects biases. MAIA's flexibility allows it to answer various interpretability queries and design experiments on the fly.
Meta introduces Llama 3.1 405B AI model, claiming it competes with OpenAI and Anthropic in various tasks. The new open-source system is set to challenge established competitors in the AI field.
IWF warns of rise in AI-generated child sexual abuse videos due to widespread AI tools. Majority involve manipulating existing material, with some entirely AI-made videos.
Ireland's datacentres consumed more electricity than urban homes in 2022, raising concerns about climate targets. The country's datacentres used 21% of its electricity, a 20% increase from the previous year, per the Central Statistics Office.
Large Language Models (LLMs) are too big for consumer hardware, requiring GPUs with large VRAM. Quantization is a key technique to make LLMs smaller, improving efficiency and reducing memory usage.
Real-time water quality monitors with AI help assess immediate risk of illness from bacteria in southern England's swimming spots. Wessex Water's sensors accurately predict high bacteria levels 87% of the time at pilot study site Warleigh Weir.
Machine-learning models can improve fairness by introducing randomization, preventing systemic injustices in resource allocation. Researchers from MIT and Northeastern University present a framework for introducing randomization without sacrificing efficiency or accuracy.
Russia-based hackers targeted a heating utility in Lviv, Ukraine, switching off heat to hundreds of buildings in the midst of winter. Industrial cybersecurity firm Dragos discovered the malware used to directly sabotage the heating infrastructure, leaving civilians in sub-zero temperatures for 48 hours.
MIT engineers have identified new materials for fast proton conduction, essential for clean energy technologies like fuel cells. Current high-temperature inorganic materials may be replaced by lower-temperature alternatives for more efficient and durable applications.
Researchers at the University of Hull developed a method to detect AI-generated deepfake images by analyzing reflections in human eyes. This technique utilizes tools from astronomy to scrutinize the consistency of light reflections in eyeballs, potentially revolutionizing deepfake detection.
Master Cargo.toml formatting rules to avoid frustration. Rust's consistency compared to JavaScript, with surprises in Cargo.toml explained in 9 wats and wat nots.
CEO Sarah Franklin faced intense pushback on Lattice's plans, leading to their suspension after 3 days. People are not ready for "digital workers" according to the lesson learned by the CEO of the HR platform.
MIT researchers propose evaluating large language models based on alignment with human beliefs. Misalignment can lead to unexpected failures, especially in high-stakes situations.
AI and accelerated computing by NVIDIA are enhancing energy efficiency across industries, recognized by Lisbon Council Research. Transitioning to GPU-accelerated systems can save over 40 terawatt-hours of energy annually, with real-world examples like Murex and Wistron showcasing significant gains in energy consumption and productivity.