CT wants to expand reading interventions. It won’t be easy

SB 220 would require that schools adopt an individual reading plan for every student in grades 4-9 who doesn't meet annual reading standards.

Researchers baked 3x inference speedups directly into LLM weights — without speculative decoding

Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...

7 Ways The Train Could Go Off The Track For Nvidia

Nvidia Corporation sits at the center of the AI trade, but “cheap” valuation signals may be a mirage amid bubble risks. Click ...

‘A.I. Literacy’ Is Trending in Schools. Here’s Why.

Artificial intelligence companies are urging teachers to prepare students for an “A.I.-driven future.” What that means varies ...

The Lesson of A.I. Literacy Class: Don’t Let the Chatbot Think for You

Teachers say they want to equip high school students to drive artificial intelligence, rather than be mere passengers steered by chatbots.
GitHub

Latency and Memory Analysis of Transformer Models for Training and Inference

Many formulas or equations are floating around in papers, blogs, etc., about how to calculate training or inference latency and memory for Large Language Models (LLMs) or Transformers. Rather than ...
Edutopia

Just Like Phonics, Comprehension Requires Explicit Teaching

Once students can decode, they need ongoing and thoughtful instruction to understand, interpret, and engage with what they read.
GitHub

Inference Gateway

The Inference Gateway is a proxy server designed to facilitate access to various language model APIs. It allows users to interact with different language models through a unified interface, ...
theregister

This dev made a Llama with three inference engines

Developers looking to gain a better understanding of machine learning inference on local hardware can fire up a new llama engine. Software developer Leonardo Russo has released llama3pure, which ...
IEEE

Dynamic Semantic Compression for CNN Inference in Multi-Access Edge Computing: A Graph Reinforcement Learning-Based Autoencoder

Abstract: This paper studies the computational offloading of CNN inference in dynamic multi-access edge computing (MEC) networks. To address the uncertainties in communication time and edge servers’ ...
IEEE

Human Cognition-Based Consistency Inference Networks for Multi-Modal Fake News Detection

Abstract: The existing models for multi-modal fake news detection focus mainly on capturing common similar semantics between different modalities to improve detection performance. However, they ignore ...
ZDNet

Why I replaced my Kindle with an iPad Mini for reading ebooks - and don't regret it

Accelerate your tech game Paid Content How the New Space Race Will Drive Innovation How the metaverse will change the future of work and society Managing the ...