SK Telecom lays out plan to rebuild its core around AI
At MWC 2026 in Barcelona, SK Telecom outlined how it is rebuilding itself around AI, from its network core to...
AI News
From experiment to enterprise reality
AI adoption in financial services has effectively become universal–and the institutions still treating it as an experiment are now the...
How to Build an Explainable AI Analysis Pipeline Using SHAP-IQ to Understand Feature Importance, Interaction Effects, and Model Decision Breakdown
INSTANCE_I = int(np.clip(INSTANCE_I, 0, len(X_test)-1)) x = X_test.iloc.values y_true = float(y_test.iloc) pred = float(model.predict()) iv = explainer.explain(x, budget=int(BUDGET_LOCAL), random_state=0) baseline...
FireRedTeam Releases FireRed-OCR-2B Utilizing GRPO to Solve Structural Hallucinations in Tables and LaTeX for Software Developers
Document digitization has long been a multi-stage problem: first detect the layout, then extract the text, and finally try to...
When AI lies: The rise of alignment faking in autonomous systems
AI is evolving beyond a helpful tool to an autonomous agent, creating new risks for cybersecurity systems. Alignment faking is...
Google AI Introduces STATIC: A Sparse Matrix Framework Delivering 948x Faster Constrained Decoding for LLM Based Generative Retrieval
In industrial recommendation systems, the shift toward Generative Retrieval (GR) is replacing traditional embedding-based nearest neighbor search with Large Language...
How to Design a Production-Grade Multi-Agent Communication System Using LangGraph Structured Message Bus, ACP Logging, and Persistent Shared State Architecture
In this tutorial, we build an advanced multi-agent communication system using a structured message bus architecture powered by LangGraph and...
What if the real risk of AI isn’t deepfakes — but daily whispers?
Most people don’t appreciate the profound threat that AI will soon pose to human agency. A common refrain is that...
A Complete End-to-End Coding Guide to MLflow Experiment Tracking, Hyperparameter Optimization, Model Evaluation, and Live Model Deployment
best_C = best best_solver = best final_pipe = Pipeline() with mlflow.start_run(run_name="final_model_run") as final_run: final_pipe.fit(X_train, y_train) proba = final_pipe.predict_proba(X_test) pred =...
Alibaba Team Open-Sources CoPaw: A High-Performance Personal Agent Workstation for Developers to Scale Multi-Channel AI Workflows and Memory
As the industry moves from simple Large Language Model (LLM) inference toward autonomous agentic systems, the challenge for devs have...
Vibe coding with overeager AI: Lessons learned from treating Google AI Studio like a teammate
Most discussions about vibe coding usually position generative AI as a backup singer rather than the frontman: Helpful as a...
Microsoft's new AI training method eliminates bloated system prompts without sacrificing model performance
In building LLM applications, enterprises often have to create very long system prompts to adjust the model’s behavior for their...
Enterprise MCP adoption is outpacing security controls
AI agents now carry more access and more connections to enterprise systems than any other software in the environment. That...
Anthropic vs. The Pentagon: what enterprises should do
The relationship between one of Silicon Valley's most lucrative and powerful AI model makers, Anthropic, and the U.S. government reached...
OpenAI's big investment from AWS comes with something else: new 'stateful' architecture for enterprise agents
The landscape of enterprise artificial intelligence shifted fundamentally today as OpenAI announced $110 billion in new funding from three of...
Google's Opal just quietly showed enterprise teams the new blueprint for building AI agents
For the past year, the enterprise AI community has been locked in a debate about how much freedom to give...
Goldman Sachs and Deutsche Bank test agentic AI in trading
Banks are testing a new type of artificial intelligence, like agentic AI, that does more than scan for keywords or...
Sakana AI Introduces Doc-to-LoRA and Text-to-LoRA: Hypernetworks that Instantly Internalize Long Contexts and Adapt LLMs via Zero-Shot Natural Language
Customizing Large Language Models (LLMs) currently presents a significant engineering trade-off between the flexibility of In-Context Learning (ICL) and the...
Perplexity launches 'Computer' AI agent that coordinates 19 models, priced at $200 a month
Perplexity, the AI-powered search company valued at $20 billion, on Wednesday launched what it calls the most ambitious product in...
Upgrading agentic AI for finance workflows
Improving trust in agentic AI for finance workflows remains a major priority for technology leaders today.Over the past two years,...
ServiceNow resolves 90% of its own IT requests autonomously. Now it wants to do the same for any enterprise
ServiceNow is handling 90% of its own employee IT requests autonomously, resolving cases 99% faster than human agents. On Thursday...
Poor implementation of AI may be behind workforce reduction
Many organisations are eroding the foundations of business – productivity, competitiveness, and efficiency. This is happening due to poor implementation...
