Al, Analytics and Automation
Two from MIT named 2026 Knight-Hennessy Scholars | MIT News
MIT master’s student Sunshine Jiang ’25 and Rupert Li ’24 are recipients of this year’s Knight-Hennessy Scholarship. Now in its...
How to Build a Dynamic Zero-Trust Network Simulation with Graph-Based Micro-Segmentation, Adaptive Policy Engine, and Insider Threat Detection
In this tutorial, we build a realistic Zero-Trust network simulation by modeling a micro-segmented environment as a directed graph and...
Nous Research Releases Token Superposition Training to Speed Up LLM Pre-Training by Up to 2.5x Across 270M to 10B Parameter Models
Pre-training large language models is expensive enough that even modest efficiency improvements can translate into meaningful cost and time savings....
Q&A: Expanding MIT’s global reach through Universal Learning | MIT News
MIT's Universal Learning is a new initiative from MIT Open Learning designed to prepare learners everywhere to tackle complex global...
Mira Murati’s Thinking Machines Lab Introduces Interaction Models: A Native Multimodal Architecture for Real-Time Human-AI Collaboration
Most AI systems today work in turns. You type or speak, the model waits, processes your input, and then responds....
Universal AI is “a pathway to AI fluency that’s accessible and approachable to anyone, anywhere” | MIT News
“Artificial intelligence is not just for computer scientists anymore; it’s going to permeate every aspect of our lives and influence...
Build a Hybrid-Memory Autonomous Agent with Modular Architecture and Tool Dispatch Using OpenAI
class MemoryStoreTool(Tool): name = "memory_store" description = "Save an important fact or piece of information to long-term memory." def __init__(self,...
Tilde Research Introduces Aurora: A Leverage-Aware Optimizer That Fixes a Hidden Neuron Death Problem in Muon
Researchers at Tilde Research have released Aurora, a new optimizer for training neural networks that addresses a structural flaw in...
Understanding LLM Distillation Techniques – MarkTechPost
Modern large language models are no longer trained only on raw internet text. Increasingly, companies are using powerful “teacher” models...
Sakana AI and NVIDIA Introduce TwELL with CUDA Kernels for 20.5% Inference and 21.9% Training Speedup in LLMs
Scaling large language models (LLMs) is expensive. Every token processed during inference and every gradient computed during training flows through...
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