Network

From Reactive to Predictive: Forecasting Network Congestion with Machine Learning and INT

Context centers, network slowdowns can appear out of nowhere. A sudden burst of traffic from distributed systems, microservices, or AI training jobs can overwhelm switch buffers in seconds. The issue shouldn't be just knowing...

Learn how to Address the Network Security Challenges Related to Agentic AI

Agentic artificial intelligence (AI) represents the subsequent frontier of AI, promising to transcend even the capabilities of generative AI (GenAI). Unlike most GenAI systems, which depend on human prompts or oversight, agentic AI is...

OpenAI’s secret social network

Good morning, AI enthusiasts. OpenAI’s future may stretch beyond frontier models…to a social network riding ChatGPT’s wave of success.The move could unlock much-needed real-time data for Sam Altman’s AI ambitions, however the query is:...

Attractors in Neural Network Circuits: Beauty and Chaos

is one thing in common between memories, oscillating chemical reactions and double pendulums? All these systems have a basin of attraction for possible states, like a magnet that attracts the system towards certain...

DevAI Raises $6M to Revolutionize Enterprise IT with Network Intelligence Agents

In a significant boost to enterprise IT, DevAI, a rising force in AI-powered IT solutions, has secured $6 million in an oversubscribed seed round led by Emergence Capital. The round also saw participation from...

Superposition: What Makes it Difficult to Explain Neural Network

When there are more features than model dimensionsIt could be ideal if the world of neural network represented a one-to-one relationship: each neuron prompts on one and just one feature. In such a world,...

Demystifying Azure Storage Account Network Access

Service endpoints and personal endpoints hands-on: including Azure Backbone, storage account firewall, DNS, VNET and NSGsThat is nevertheless counterintuitive, since first a non-public endpoint is created within the VNET after which traffic is blocked...

Using JPEG Compression to Improve Neural Network Training

A brand new research paper from Canada has proposed a framework that deliberately introduces JPEG compression into the training scheme of a neural network, and manages to acquire higher results – and higher resistance...

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