Vision Transformers (ViTs) exhibit artifacts in feature maps due to high-norm tokens in low-informative areas, which can hinder performance during inference; the proposed solution introduces additional tokens to enhance input sequences, effectively addressing this issue.
AI Helps Find a Cause of Alzheimer's Disease and Identify Therapeutic Candidate
A recent study reveals that PHGDH, a gene previously identified as a biomarker for Alzheimer’s, is a causal factor in the disease, influencing its progression through a newly discovered regulatory role.
I built a hardware processor that runs Python
PyXL executes Python directly in hardware, achieving a GPIO round-trip time of 480ns, significantly faster than MicroPython's ~15,000ns, showcasing a 30x speed increase or 50x when normalized for clock speed.
Qwen3: Think Deeper, Act Faster
Qwen3 introduces two innovative models, Qwen3-235B-A22B and Qwen3-30B-A3B, which excel in coding and reasoning tasks, outperforming competitors with a significant increase in activated parameters and efficiency.
Show HN: Cleverb.ee – open-source agent that writes a cited research report
CleverBee is a Python-based research assistant leveraging Large Language Models (LLMs) like Gemini and Claude, enabling automated web browsing and content summarization tailored to user-defined research topics.
We Found Insurance Fraud in Our Crash Data
Matrisk AI's analysis of ~15 million crashes revealed potential insurance fraud through VIN tracking, highlighting patterns such as multiple accidents and insurer switches that warrant further investigation.
Inference-Aware Fine-Tuning for Best-of-N Sampling in Large Language Models
The proposed inference-aware fine-tuning paradigm optimizes large language models (LLMs) for the Best-of-N (BoN) inference strategy, enhancing performance by selecting the best responses from multiple outputs.
Co-designing a sparse music codec with ChatGPT o3
Co-designing a sparse music codec with ChatGPT o3 enabled rapid prototyping, transforming a long-held idea into a functional model in just one day through iterative dialogue and coding.
Beyond Elk: Lightweight and Scalable Cloud-Native Log Monitoring
GreptimeDB offers a modern alternative to ELK for log monitoring, featuring a cloud-native architecture that separates storage and computation, which enhances scalability and cost efficiency in high-demand environments.
Autonomous Driving project - F1 will never be the same!
The autonomous driving project aims to develop an agent that can outperform humans across various vehicle types, culminating in an ambitious goal of competing in F1 racing, leveraging Gaussian Process-based route planning for real-world applications.
How do you think the recent trend of multimodal LLMs will impact audio-based applications?
Multimodal LLMs are poised to revolutionize audio-based applications by enabling more sophisticated processing and generation of audio content, moving beyond traditional text-centric methods.
plan-lint - Open source project to verify plans generated by LLMs
plan-lint is an open-source tool that verifies machine-readable plans generated by LLMs, identifying potential issues like loops and raw secrets before execution, thus enhancing safety in production environments.
Oracle Cloud Infrastructure Deploys Thousands of NVIDIA Blackwell GPUs for Agentic AI and Reasoning Models
Oracle Cloud Infrastructure (OCI) has deployed thousands of NVIDIA Blackwell GPUs in its data centers, utilizing the GB200 NVL72 systems to enhance capabilities for developing advanced AI reasoning models and agents.
How Agentic AI Enables the Next Leap in Cybersecurity
Agentic AI transforms cybersecurity by enabling autonomous actions, allowing systems to interact with tools and sensitive data, thus necessitating a dual defense strategy against both threats and vulnerabilities.