MIB: A Mechanistic Interpretability Benchmark for Business AI
The field of mechanistic interpretability (MI) is rapidly advancing, but how do we know if new methods actually improve our
Beyond Transformers: How Miras is Redefining Sequence Models with Attentional Bias and Retention Gates
In a groundbreaking paper titled It’s All Connected: A Journey Through Test-Time Memorization, Attentional Bias, Retention, and Online Optimization,
Sleep-time Compute: How Offline Thinking Can Revolutionize AI Efficiency in Business
Large language models (LLMs) have become indispensable tools for businesses, but their high latency and computational costs at inference time
PerceptionLM: A Fully Open and Reproducible Framework for Detailed Visual Understanding
Vision-language models (VLMs) are now a cornerstone of computer vision research, widely used in both academia and industry. However, many
HLS-Eval: The First Benchmark for Evaluating LLMs in High-Level Synthesis Design
The rise of LLMs in hardware design
Large language models (LLMs) have been making waves in hardware design, particularly in
SHeaP: A Breakthrough in Self-Supervised 3D Head Reconstruction Using 2D Gaussians
The Future of 3D Head Reconstruction is Here—and It’s Self-Supervised
Imagine being able to create a photorealistic 3D
SCENT: A Scalable Framework for Spatiotemporal Learning in Scientific Data
Spatiotemporal learning—modeling data that evolves across space and time—is a critical challenge in scientific domains, from climate modeling
AI Can Now Predict How Your Hands Will Move—Here’s Why That Matters
Imagine teaching someone how to screw in a lightbulb or stir a cup of coffee without demonstrating it yourself. Thanks
How Multimodal Protein Language Models Are Pushing the Boundaries of AI in Biotech
Protein language models (PLMs) have become a cornerstone of AI-driven biotechnology, integrating sequence and structural data to model, generate, and
Greedy Restart Schedules: A Simple Yet Powerful Baseline for Dynamic Algorithm Selection in Optimization
How a Simple Greedy Approach is Closing the Gap Between Specialized and General Optimization Algorithms
In the world of numerical
