AppGuard Critiques AI Hyped Defenses; Expands Its Insider Release for Its Next-Generation Platform
McLean, Virginia, United States, 15th January 2026, CyberNewsWire The post AppGuard Critiques AI Hyped Defenses; Expands its Insider Release for its Next-Generation Platform appeared first on The Security Ledger with Paul F. Roberts.
Aembit Announces Agenda and Speaker Lineup for NHIcon 2026 on Agentic AI Security
Silver Spring, Maryland, 15th January 2026, CyberNewsWire The post Aembit Announces Agenda and Speaker Lineup for NHIcon 2026 on Agentic AI Security appeared first on The Security Ledger with Paul F. Roberts.
How to Build a Stateless, Secure, and Asynchronous MCP-Style Protocol for Scalable Agent Workflows
In this tutorial, we build a clean, advanced demonstration of modern MCP design by focusing on three core ideas: stateless communication, strict SDK-level validation, and asynchronous, long-running operations. We implement a minimal MCP-like protocol using structured envelopes, signed requests, and...
Understanding the Layers of AI Observability in the Age of LLMs
Artificial intelligence (AI) observability refers to the ability to understand, monitor, and evaluate AI systems by tracking their unique metrics—such as token usage, response quality, latency, and model drift. Unlike traditional software, large language models (LLMs) and other generative AI...
How to Build a Multi-Turn Crescendo Red-Teaming Pipeline to Evaluate and Stress-Test LLM Safety Using Garak
In this tutorial, we build an advanced, multi-turn crescendo-style red-teaming harness using Garak to evaluate how large language models behave under gradual conversational pressure. We implement a custom iterative probe and a lightweight detector to simulate realistic escalation patterns in...
How This Agentic Memory Research Unifies Long Term and Short Term Memory for LLM Agents
How do you design an LLM agent that decides for itself what to store in long term memory, what to keep in short term context and what to discard, without hand tuned heuristics or extra controllers? Can a single policy...
A Coding Guide to Demonstrate Targeted Data Poisoning Attacks in Deep Learning by Label Flipping on CIFAR-10 with PyTorch
In this tutorial, we demonstrate a realistic data poisoning attack by manipulating labels in the CIFAR-10 dataset and observing its impact on model behavior. We construct a clean and a poisoned training pipeline side by side, using a ResNet-style convolutional...
Meet SETA: Open Source Training Reinforcement Learning Environments for Terminal Agents with 400 Tasks and CAMEL Toolkit
What does an end to end stack for terminal agents look like when you combine structured toolkits, synthetic RL environments, and benchmark aligned evaluation? A team of researchers from CAMEL AI, Eigent AI and other collaborators have released SETA, a...
How to Build Portable, In-Database Feature Engineering Pipelines with Ibis Using Lazy Python APIs and DuckDB Execution
In this tutorial, we demonstrate how we use Ibis to build a portable, in-database feature engineering pipeline that looks and feels like Pandas but executes entirely inside the database. We show how we connect to DuckDB, register data safely inside...
Sayd Agzamkhodjaev: “Users Don’t Trust that the System Never Makes Mistakes; They Trust that It Can Safely Recover.”
Founding Engineer at Treater knows how a properly organized pipeline and analytics based on AI agents turn complex LLMs into practical and reliable business tools. In 2025, companies around the world are actively adopting generative AI technologies and large language...
Stanford Researchers Build SleepFM Clinical: A Multimodal Sleep Foundation AI Model for 130+ Disease Prediction
A team of Stanford Medicine researchers have introduced SleepFM Clinical, a multimodal sleep foundation model that learns from clinical polysomnography and predicts long term disease risk from a single night of sleep. The research work is published in Nature Medicine...
Claude Code Addiction Is Addiction to Creation
 I'm starting to hear people talk about Claude Code addiction. *gasp* First, even if that were true, it would still be an upgrade over Porn, or Netflix, or TikTok. But I don't...
A Coding Implementation to Build a Unified Apache Beam Pipeline Demonstrating Batch and Stream Processing with Event-Time Windowing Using DirectRunner
In this tutorial, we demonstrate how to build a unified Apache Beam pipeline that works seamlessly in both batch and stream-like modes using the DirectRunner. We generate synthetic, event-time–aware data and apply fixed windowing with triggers and allowed lateness to...
AI Breakthroughs Coming in 2026: World Models, Spatial Intelligence & Multimodality
The Year AI Stops Making Videos and Starts Simulating Worlds
Small Yet Mighty: Improve Accuracy In Multimodal Search and Visual Document Retrieval with Llama Nemotron RAG Models
NVIDIA introduced two compact Llama Nemotron models—an image‑text embedding encoder and a cross‑encoder reranker—tailored for multimodal retrieval over visual documents. Both run on typical NVIDIA GPUs, emit a single dense vector per page, and integrate seamlessly with existing vector databases. Benchmarks...
Liquid AI Releases LFM2.5: A Compact AI Model Family For Real On Device Agents
Liquid AI has introduced LFM2.5, a new generation of small foundation models built on the LFM2 architecture and focused at on device and edge deployments. The model family includes LFM2.5-1.2B-Base and LFM2.5-1.2B-Instruct and extends to Japanese, vision language, and audio...
Generalist Robot Policy Evaluation in Simulation with NVIDIA Isaac Lab-Arena and LeRobot
NVIDIA and Hugging Face have merged NVIDIA Isaac Lab‑Arena with the LeRobot EnvHub, creating an open‑source pipeline for evaluating vision‑language‑action (VLA) robot policies in simulation. The integration gives developers access to pre‑trained GR00T N models, a library of 250+ Lightwheel tasks, and...
Introducing Falcon H1R 7B
The Technology Innovation Institute unveiled Falcon H1R 7B, a decoder‑only 7‑billion‑parameter LLM that rivals much larger reasoning models. Leveraging a two‑stage pipeline of curated supervised fine‑tuning and reinforcement learning with the GRPO algorithm, the model excels on math, code, and general...
Introducing Falcon-H1-Arabic: Pushing the Boundaries of Arabic Language AI with Hybrid Architecture
Falcon‑H1‑Arabic introduces a family of 3B, 7B and 34B parameter models that merge Mamba state‑space modules with Transformer attention in a hybrid block design. The architecture expands context windows to 128K tokens for the 3B model and 256K tokens for...
LLM-Pruning Collection: A JAX Based Repo For Structured And Unstructured LLM Compression
Zlab Princeton researchers have released LLM-Pruning Collection, a JAX based repository that consolidates major pruning algorithms for large language models into a single, reproducible framework. It targets one concrete goal, make it easy to compare block level, layer level and...
Tencent Researchers Release Tencent HY-MT1.5: A New Translation Models Featuring 1.8B and 7B Models Designed for Seamless On-Device and Cloud Deployment
Tencent Hunyuan researchers have released HY-MT1.5, a multilingual machine translation family that targets both mobile devices and cloud systems with the same training recipe and metrics. HY-MT1.5 consists of 2 translation models, HY-MT1.5-1.8B and HY-MT1.5-7B, supports mutual translation across 33...
AI Interview Series #5: Prompt Caching
Question: Imagine your company’s LLM API costs suddenly doubled last month. A deeper analysis shows that while user inputs look different at a text level, many of them are semantically similar. As an engineer, how would you identify and reduce...
NVIDIA Brings Agents to Life with DGX Spark and Reachy Mini
At CES 2026 NVIDIA demonstrated how its DGX Spark platform can power a personal AI assistant built on the Reachy Mini robot. Using open‑source Nemotron 3 Nano for reasoning and Nemotron Nano 2 VL for vision, the demo combined NVIDIA’s NeMo Agent Toolkit with ElevenLabs TTS to...
A Coding Implementation to Build a Self-Testing Agentic AI System Using Strands to Red-Team Tool-Using Agents and Enforce Safety at Runtime
In this tutorial, we build an advanced red-team evaluation harness using Strands Agents to stress-test a tool-using AI system against prompt-injection and tool-misuse attacks. We treat agent safety as a first-class engineering problem by orchestrating multiple agents that generate adversarial...
Tencent Released Tencent HY-Motion 1.0: A Billion-Parameter Text-to-Motion Model Built on the Diffusion Transformer (DiT) Architecture and Flow Matching
Tencent Hunyuan’s 3D Digital Human team has released HY-Motion 1.0, an open weight text-to-3D human motion generation family that scales Diffusion Transformer based Flow Matching to 1B parameters in the motion domain. The models turn natural language prompts plus an...
A Coding Implementation of an OpenAI-Assisted Privacy-Preserving Federated Fraud Detection System From Scratch Using Lightweight PyTorch Simulations
In this tutorial, we demonstrate how we simulate a privacy-preserving fraud detection system using Federated Learning without relying on heavyweight frameworks or complex infrastructure. We build a clean, CPU-friendly setup that mimics ten independent banks, each training a local fraud-detection...
From Turbines to Algorithms: The Engineer Bridging Global Energy Gaps
In an era where artificial intelligence is reshaping industries, the energy sector stands on the cusp of its most profound transformation. A recent report by the International Energy Agency (IEA) underscores that AI and digitalization are critical to managing increasingly...
Beyond the Blue Dot: The Rise of Visual Positioning Systems (VPS)
Decoding VPS: The foundational tech for the next generation of AR and robotics to navigate the world.
Meet LLMRouter: An Intelligent Routing System Designed to Optimize LLM Inference by Dynamically Selecting the Most Suitable Model for Each Query
LLMRouter is an open source routing library from the U Lab at the University of Illinois Urbana Champaign that treats model selection as a first class system problem. It sits between applications and a pool of LLMs and chooses a...
Ishu Anand Jaiswal, Senior Engineering Leader — Owning Outcomes, Customer-Facing Systems, Trust Over Speed, Scaling Systems, AI with Guardrails, Lasting Impact
In this interview, we speak with Ishu Anand Jaiswal, a Senior Engineering Leader whose work has shaped large-scale, customer-facing systems at Apple, including global platforms used by millions. Drawing on more than 18 years of experience, Ishu reflects on the...
NVIDIA AI Researchers Release NitroGen: An Open Vision Action Foundation Model For Generalist Gaming Agents
NVIDIA AI research team released NitroGen, an open vision action foundation model for generalist gaming agents that learns to play commercial games directly from pixels and gamepad actions using internet video at scale. NitroGen is trained on 40,000 hours of...
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Liquid AI’s LFM2-2.6B-Exp Uses Pure Reinforcement Learning RL And Dynamic Hybrid Reasoning To Tighten Small Model Behavior
Liquid AI has introduced LFM2-2.6B-Exp, an experimental checkpoint of its LFM2-2.6B language model that is trained with pure reinforcement learning on top of the existing LFM2 stack. The goal is simple, improve instruction following, knowledge tasks, and math for a...
How to Build Production-Grade Agentic Workflows with GraphBit Using Deterministic Tools, Validated Execution Graphs, and Optional LLM Orchestration
In this tutorial, we build an end-to-end, production-style agentic workflow using GraphBit that demonstrates how graph-structured execution, tool calling, and optional LLM-driven agents can coexist in a single system. We start by initializing and inspecting the GraphBit runtime, then define...
A Coding Implementation on Building Self-Organizing Zettelkasten Knowledge Graphs and Sleep-Consolidation Mechanisms
In this tutorial, we dive into the cutting edge of Agentic AI by building a “Zettelkasten” memory system, a “living” architecture that organizes information much like the human brain. We move beyond standard retrieval methods to construct a dynamic knowledge...
The Silent Infrastructure Powering AI: How Mohammed Arbaaz Shareef Shapes Enterprise Intelligence Through Data Engineering
Field Impact: Data Engineering as the Determinant of Enterprise AI Success Artificial intelligence has entered the boardroom. No longer confined to research labs or experimental pilots, it now shapes capital allocation, operational resilience, regulatory posture, and competitive advantage. In regulated...
A Coding Guide to Build an Autonomous Multi-Agent Logistics System with Route Planning, Dynamic Auctions, and Real-Time Visualization Using Graph-Based Simulation
In this tutorial, we build an advanced, fully autonomous logistics simulation in which multiple smart delivery trucks operate within a dynamic city-wide road network. We design the system so that each truck behaves as an agent capable of bidding on...
This AI Paper From Stanford and Harvard Explains Why Most ‘Agentic AI’ Systems Feel Impressive in Demos and Then Completely Fall Apart in Real Use
Agentic AI systems sit on top of large language models and connect to tools, memory, and external environments. They already support scientific discovery, software development, and clinical research, yet they still struggle with unreliable tool use, weak long horizon planning,...
InstaDeep Introduces Nucleotide Transformer V3 (NTv3): A New Multi-Species Genomics Foundation Model, Designed for 1 Mb Context Lengths at Single-Nucleotide Esolution
Genomic prediction and design now require models that connect local motifs with megabase scale regulatory context and that operate across many organisms. Nucleotide Transformer v3, or NTv3, is InstaDeep’s new multi species genomics foundation model for this setting. It unifies...
Google Health AI Releases MedASR: A Conformer Based Medical Speech to Text Model for Clinical Dictation
Google Health AI team has released MedASR, an open weights medical speech to text model that targets clinical dictation and physician patient conversations and is designed to plug directly into modern AI workflows. What MedASR is and where it fits?...
How to Build a Proactive Pre-Emptive Churn Prevention Agent with Intelligent Observation and Strategy Formation
In this tutorial, we build a fully functional Pre-Emptive Churn Agent that proactively identifies at-risk users and drafts personalized re-engagement emails before they cancel. Rather than waiting for churn to occur, we design an agentic loop in which we observe...
Redefining AI Leadership in Healthcare and High-Stakes Industries
Ali Altaf’s work sits at the intersection of healthcare governance, executive decision-making, and artificial intelligence at a moment of unprecedented institutional strain. Across the United States, healthcare organizations are operating under compressed decision timelines, expanding regulatory obligations, intensifying cybersecurity threats,...
Google DeepMind Researchers Release Gemma Scope 2 as a Full Stack Interpretability Suite for Gemma 3 Models
Google DeepMind Researchers introduce Gemma Scope 2, an open suite of interpretability tools that exposes how Gemma 3 language models process and represent information across all layers, from 270M to 27B parameters. Its core goal is simple, give AI safety...
How Daniel Fuentes Is Shaping Minority Leadership, Ethical AI, and Innovation in the U.S. Culinary Landscape
The U.S. culinary industry is transforming at an unprecedented pace. Globally, the foodservice market is projected to surpass $4.4 trillion by 2030, driven by shifting consumer expectations, sustainability demands, digital innovation, and a growing focus on health-conscious dining. Today, more...
AI-Enabled Self-Software
[](/images/ai-enabled-self-software.webp) One of the biggest changes that AI brought in 2025 is something that not enough people are talking about. Lots of people who used to pay for software like workout apps, or analytics softwar...
How to Build a Fully Autonomous Local Fleet-Maintenance Analysis Agent Using SmolAgents and Qwen Model
In this tutorial, we walk through the process of creating a fully autonomous fleet-analysis agent using SmolAgents and a local Qwen model. We generate telemetry data, load it through a custom tool, and let our agent reason, analyze, and visualize...
Anthropic AI Releases Bloom: An Open-Source Agentic Framework for Automated Behavioral Evaluations of Frontier AI Models
Anthropic has released Bloom, an open source agentic framework that automates behavioral evaluations for frontier AI models. The system takes a researcher specified behavior and builds targeted evaluations that measure how often and how strongly that behavior appears in realistic...
AI Interview Series #4: Explain KV Caching
Question: You’re deploying an LLM in production. Generating the first few tokens is fast, but as the sequence grows, each additional token takes progressively longer to generate—even though the model architecture and hardware remain the same. If compute isn’t the...
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