Jesse Johnson: Bringing Together AI and Medical Research

Jesse Johnson: Bringing Together AI and Medical Research

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Today, we speak with Jesse Johnson, Ph.D., a prominent data scientist with over ten years of experience in AI. After a number of years leading data teams at biotech startups, Jesse recently founded a company called Merelogic, whose goal is to help biotech organizations turn their machine learning proof-of-concept projects into tangible impact. Jesse Johnson has transitioned from academia to biotechnology, applying his deep expertise in mathematics and data engineering to practical research and analysis of genomic structures […]

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Meta-Prompting: From “Using Prompts” to “Generating Prompts”

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Most of us start prompt engineering the same way: we type an instruction and hope the model behaves. “Write a 300-word product blurb for wireless earbuds. Mention noise cancelling and battery life.” That’s basic prompting: human designs the prompt, model executes. Meta-prompting flips the workflow. You ask the model to become the prompt designer. “Create a prompt that will make an LLM write a 300-word earbuds blurb, highlighting noise cancelling and battery life, with a punchy CTA.” Now […]

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Uncertainty-Aware Evidential Fusion for Multi-Modal Object Detection in Autonomous Driving

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The advancement of autonomous driving technologies necessitates the development of sophisticated object detection systems capable of integrating heterogeneous sensor data to overcome the inherent limitations of unimodal approaches. While multi-modal fusion strategies offer promising solutions, they confront significant challenges including data alignment complexities in early fusion and computational burdens coupled with overfitting risks in deep fusion methodologies. We propose a Multi-modal Multi-class Late Fusion (MMLF) framework that operates at the decision level. This design preserves the architectural integrity […]

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A Low-Overhead Inter-Process Communication Library with Minimal Dependencies for Efficient Microservice Communication

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In the modern microservice environment, library dependencies for inter-system communication have become bloated, and conflicts and complications during build and operation have become problems. In particular, in the conventional communication architecture that depends on the MySQL database, the multi-layer dependencies included in texttt{libmysqlclient} restrict the flexibility of system design. In this study, a replication-protocol-compatible patch was applied to the lightweight MySQL client library Trilogy, and a loosely coupled, low-footprint IPC library connecting the control plane and the data […]

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Learning Machine Learning

Learning Machine Learning

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Machine learning is one of the most interesting and advancing aspects of engineering and computer science. It shows you the potential of machines in our modern day world. Machine learning is essentially making a machine learn to perform different tasks by feeding enormous amounts of data. To accomplish this, there are multiple algorithms used for machines to learn and adapt to perform a task easier with new inputs. One of the algorithms is called neural networks. A Neural […]

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New Book: No-Blackbox, Secure, Efficient AI and LLM Solutions

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Large language models and modern AI is often presented as technology that needs deep neural networks (DNNs) with billions of Blackbox parameters, expensive and time consuming training, along with GPU farms, yet prone to hallucinations. This book presents alternatives that rely on explainable AI, featuring new algorithms based on radically different technology with trustworthy, auditable, fast, accurate, secure, replicable Enterprise AI. Most of the material is proprietary and made from scratch, showcasing the culmination of decades of research […]

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The TechBeat: Prompt Chaining: Turn One Prompt Into a Reliable LLM Workflow (1/5/2026)

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How are you, hacker? 🪐Want to know what’s trending right now?: The Techbeat by HackerNoon has got you covered with fresh content from our trending stories of the day! Set email preference here. ## A Developer’s Guide to Building Next-Gen Smart Wallets With ERC-4337 — Part 2: Bundlers By @hacker39947670 [ 15 Min read ] Bundlers are the bridge between account abstraction and the execution layer. Read More. Why Verifiability Matters for Security: 12 Key Cloud Application Use […]

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Hierarchical Clustering: A Tree-Based Approach to Data Grouping

Hierarchical Clustering: A Tree-Based Approach to Data Grouping

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In this blog, you will explore hierarchical clustering in Python, understand its application in machine learning, and review a practical hierarchical clustering example. We will delve into the hierarchical clustering algorithm, compare its implementation in R, and discuss its significance in data mining. What is Hierarchical Clustering?Types of Hierarchical ClusteringAgglomerative Clustering HierarchicalDivisive Hierarchical ClusteringSupervised vs Unsupervised LearningWhy Hierarchical Clustering?No Need to Pre-specify Number of ClustersCaptures Nested ClustersFlexibility with Cluster ShapesDistance Metrics and Linkage CriteriaHandling OutliersRobustness to InitializationVisual InterpretationPractical ExampleSteps […]

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C# Expression Trees: Property Getters

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There are times where I needed to do some things dynamically and I typically think of Expression Trees to do it. Don’t get me wrong, Reflection does the job most of the time, but it’s known to be very slow in almost all cases. I happen to have a bit of experience in the former.

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