Author: Derrick D. JacksonTitle: Founder & Senior Director of Cloud Security Architecture & RiskCredentials: CISSP, CRISC, CCSPLast updated October 31th, 2025 What Are AI Hallucinations? When Air Canada’s chatbot fabricated a bereavement fare policy in 2024, the company was held legally liable. That case set a clear precedent: you’re responsible for what your AI systems confidently […]
Artificial Intelligence vs Augmented Intelligence The term “Artificial Intelligence” (AI) dominates headlines and boardroom talks. It brings to mind self-driving cars, robotic warehouses, and software that seems to think on its own. Much of the attention around AI focuses on automation and autonomy. But a growing movement is focused on partnership instead of replacement. This […]
DeepAgent: A Deep Reasoning AI Agent that Performs Autonomous Thinking, Tool Discovery, and Action Execution within a Single Reasoning ProcessMarkTechPost Most agent frameworks still run a predefined Reason, Act, Observe loop, so the agent can only use the tools that are injected in the prompt. This works for small tasks, but it fails when the toolset is large, when the task is long, and when the agent must change strategy in the middle of reasoning.
The post DeepAgent: A Deep Reasoning AI Agent that Performs Autonomous Thinking, Tool Discovery, and Action Execution within a Single Reasoning Process appeared first on MarkTechPost.
Most agent frameworks still run a predefined Reason, Act, Observe loop, so the agent can only use the tools that are injected in the prompt. This works for small tasks, but it fails when the toolset is large, when the task is long, and when the agent must change strategy in the middle of reasoning.
The post DeepAgent: A Deep Reasoning AI Agent that Performs Autonomous Thinking, Tool Discovery, and Action Execution within a Single Reasoning Process appeared first on MarkTechPost. Read More
The Pearson Correlation Coefficient, Explained SimplyTowards Data Science A simple explanation of the Pearson correlation coefficient with examples
The post The Pearson Correlation Coefficient, Explained Simply appeared first on Towards Data Science.
A simple explanation of the Pearson correlation coefficient with examples
The post The Pearson Correlation Coefficient, Explained Simply appeared first on Towards Data Science. Read More
Too much screen time may be hurting kids’ heartsArtificial Intelligence News — ScienceDaily More screen time among children and teens is linked to higher risks of heart and metabolic problems, particularly when combined with insufficient sleep. Danish researchers discovered a measurable rise in cardiometabolic risk scores and a metabolic “fingerprint” in frequent screen users. Experts say better sleep and balanced daily routines can help offset these effects and safeguard lifelong health.
More screen time among children and teens is linked to higher risks of heart and metabolic problems, particularly when combined with insufficient sleep. Danish researchers discovered a measurable rise in cardiometabolic risk scores and a metabolic “fingerprint” in frequent screen users. Experts say better sleep and balanced daily routines can help offset these effects and safeguard lifelong health. Read More
Anthropic’s New Research Shows Claude can Detect Injected Concepts, but only in Controlled LayersMarkTechPost How do you tell whether a model is actually noticing its own internal state instead of just repeating what training data said about thinking? In a latest Anthropic’s research study ‘Emergent Introspective Awareness in Large Language Models‘ asks whether current Claude models can do more than talk about their abilities, it asks whether they can
The post Anthropic’s New Research Shows Claude can Detect Injected Concepts, but only in Controlled Layers appeared first on MarkTechPost.
How do you tell whether a model is actually noticing its own internal state instead of just repeating what training data said about thinking? In a latest Anthropic’s research study ‘Emergent Introspective Awareness in Large Language Models‘ asks whether current Claude models can do more than talk about their abilities, it asks whether they can
The post Anthropic’s New Research Shows Claude can Detect Injected Concepts, but only in Controlled Layers appeared first on MarkTechPost. Read More
How to Build an End-to-End Data Engineering and Machine Learning Pipeline with Apache Spark and PySparkMarkTechPost In this tutorial, we explore how to harness Apache Spark’s techniques using PySpark directly in Google Colab. We begin by setting up a local Spark session, then progressively move through transformations, SQL queries, joins, and window functions. We also build and evaluate a simple machine-learning model to predict user subscription types and finally demonstrate how
The post How to Build an End-to-End Data Engineering and Machine Learning Pipeline with Apache Spark and PySpark appeared first on MarkTechPost.
In this tutorial, we explore how to harness Apache Spark’s techniques using PySpark directly in Google Colab. We begin by setting up a local Spark session, then progressively move through transformations, SQL queries, joins, and window functions. We also build and evaluate a simple machine-learning model to predict user subscription types and finally demonstrate how
The post How to Build an End-to-End Data Engineering and Machine Learning Pipeline with Apache Spark and PySpark appeared first on MarkTechPost. Read More
Google AI Unveils Supervised Reinforcement Learning (SRL): A Step Wise Framework with Expert Trajectories to Teach Small Language Models to Reason through Hard ProblemsMarkTechPost How can a small model learn to solve tasks it currently fails at, without rote imitation or relying on a correct rollout? A team of researchers from Google Cloud AI Research and UCLA have released a training framework, ‘Supervised Reinforcement Learning’ (SRL), that makes 7B scale models actually learn from very hard math and agent
The post Google AI Unveils Supervised Reinforcement Learning (SRL): A Step Wise Framework with Expert Trajectories to Teach Small Language Models to Reason through Hard Problems appeared first on MarkTechPost.
How can a small model learn to solve tasks it currently fails at, without rote imitation or relying on a correct rollout? A team of researchers from Google Cloud AI Research and UCLA have released a training framework, ‘Supervised Reinforcement Learning’ (SRL), that makes 7B scale models actually learn from very hard math and agent
The post Google AI Unveils Supervised Reinforcement Learning (SRL): A Step Wise Framework with Expert Trajectories to Teach Small Language Models to Reason through Hard Problems appeared first on MarkTechPost. Read More
Build reliable AI systems with Automated Reasoning on Amazon Bedrock – Part 1Artificial Intelligence Enterprises in regulated industries often need mathematical certainty that every AI response complies with established policies and domain knowledge. Regulated industries can’t use traditional quality assurance methods that test only a statistical sample of AI outputs and make probabilistic assertions about compliance. When we launched Automated Reasoning checks in Amazon Bedrock Guardrails in preview at
Enterprises in regulated industries often need mathematical certainty that every AI response complies with established policies and domain knowledge. Regulated industries can’t use traditional quality assurance methods that test only a statistical sample of AI outputs and make probabilistic assertions about compliance. When we launched Automated Reasoning checks in Amazon Bedrock Guardrails in preview at Read More
Graph RAG vs SQL RAGTowards Data Science Evaluating RAGs on graph and SQL databases
The post Graph RAG vs SQL RAG appeared first on Towards Data Science.
Evaluating RAGs on graph and SQL databases
The post Graph RAG vs SQL RAG appeared first on Towards Data Science. Read More