· ai
[Paper] Feasibility of AI-Assisted Programming for End-User Development
End-user development,where non-programmers create or adapt their own digital tools, can play a key role in driving digital transformation within organizations. ...
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- · it
Why copper markets are feeling the pinch due to aggressive AI data center expansion — expansive buildout to demand 1.1 million tonnes of copper annually by 2030, close to 3% of global demand
Data center demand is skyrocketing as the generative AI revolution continues at pace. The racks of servers already use around 1.5% of global electricity, but by...
- · ai
[Paper] Unleashing Temporal Capacity of Spiking Neural Networks through Spatiotemporal Separation
Spiking Neural Networks (SNNs) are considered naturally suited for temporal processing, with membrane potential propagation widely regarded as the core temporal...
- · ai
[Paper] Model Gateway: Model Management Platform for Model-Driven Drug Discovery
This paper presents the Model Gateway, a management platform for managing machine learning (ML) and scientific computational models in the drug discovery pipeli...
- · ai
Robots that spare warehouse workers the heavy lifting
Founded by MIT alumni, the Pickle Robot Company has developed machines that can autonomously load and unload trucks inside warehouses and logistic centers....
- · ai
[Paper] Smart Timing for Mining: A Deep Learning Framework for Bitcoin Hardware ROI Prediction
Bitcoin mining hardware acquisition requires strategic timing due to volatile markets, rapid technological obsolescence, and protocol-driven revenue cycles. Des...
- · ai
AI Remedy Maker: Why Personalized Natural Medicine Needs Algorithms (Not Guesswork)
Why Remedies Aren’t One-Size-Fits-All and Never Were Let’s take two classics: turmeric and ashwagandha. To the supplement industry, these are static objects: “...
- · ai
[Paper] First Demonstration of Second-order Training of Deep Neural Networks with In-memory Analog Matrix Computing
Second-order optimization methods, which leverage curvature information, offer faster and more stable convergence than first-order methods such as stochastic gr...
- · ai
[Paper] NeuromorphicRx: From Neural to Spiking Receiver
In this work, we propose a novel energy-efficient spiking neural network (SNN)-based receiver for 5G-NR OFDM system, called neuromorphic receiver (NeuromorphicR...
- · ai
[Paper] The Universal Weight Subspace Hypothesis
We show that deep neural networks trained across diverse tasks exhibit remarkably similar low-dimensional parametric subspaces. We provide the first large-scale...
- · ai
[Paper] Light-X: Generative 4D Video Rendering with Camera and Illumination Control
Recent advances in illumination control extend image-based methods to video, yet still facing a trade-off between lighting fidelity and temporal consistency. Mo...
- · ai
[Paper] Value Gradient Guidance for Flow Matching Alignment
While methods exist for aligning flow matching models--a popular and effective class of generative models--with human preferences, existing approaches fail to a...