New & Notable
News
Lack of training data stifling humanoid bot development
AI models train on information available on the internet. Robots can’t do that.
News
Can Nvidia's physical AI strategy replicate its AI dominance?
Nvidia is building a broad physical AI ecosystem across training, simulation and deployment, but in a fragmented market, the chipmaker will need to coexist before it can dominate.
News
Global, tech leaders weigh in on AI development debate
In this episode of Tech News this Week, Esther Shittu explains the AI development debate, the arguments against a slowdown in AI advancement, and how business leaders can respond.
News
Accelerating AI adoption and governance amid an AI slowdown
While many organizations are accelerating their use of AI, they need to focus on governance and invest in trust, security and alignment.
Trending Topics
-
Quantum Computing News
What Claude Mythos revealed about post-quantum security
Quantum computing will break standard security codes and change how we protect data and prepare for the future. Claude Mythos proved we're still not ready for the quantum era.
-
Enterprise AI Strategy News
Can Nvidia's physical AI strategy replicate its AI dominance?
Nvidia is building a broad physical AI ecosystem across training, simulation and deployment, but in a fragmented market, the chipmaker will need to coexist before it can dominate.
-
Emerging Tech News
Lack of training data stifling humanoid bot development
AI models train on information available on the internet. Robots can’t do that.
-
AI Technologies & Platforms News
Gemini 3.8 Live Transforms Conversational AI
The models support real-time conversation by enabling users to interact without the traditional prompt-response structure.
-
AI Infrastructure News
Nvidia-backed Skild AI teaches robots new tasks from a single video
The development adds to the rising momentum toward general-purpose robots and the real-world deployment of physical AI.
-
AI Ethics & Governance News
Global, tech leaders weigh in on AI development debate
In this episode of Tech News this Week, Esther Shittu explains the AI development debate, the arguments against a slowdown in AI advancement, and how business leaders can respond.
Sponsored Sites
-
Artificial Intelligence
HPE & Intel: Harness AI
Learn how HPE & Intel are pioneering advancements in artificial intelligence (AI) and machine learning (ML) technologies. As a global leader in semiconductor innovation, Intel continues to drive the evolution of AI across diverse industries, from healthcare and finance to autonomous vehicles and edge computing. Explore the latest developments and strategies shaping the future of AI-driven technologies.
-
Information Management
Microsoft & Cognite
Microsoft and Cognite unify Industrial and Enterprise AI, accelerating end-to-end digital transformation from site to broader business.
-
Artificial Intelligence
Intel & Red Hat: Leading the way in Enterprise AI
Combining Intel’s silicon experience with Red Hat’s software innovation to enable AI-driven hybrid multi-cloud solutions.
Find Solutions For Your Project
-
Evaluate
Can Nvidia's physical AI strategy replicate its AI dominance?
Nvidia is building a broad physical AI ecosystem across training, simulation and deployment, but in a fragmented market, the chipmaker will need to coexist before it can dominate.
-
Colossus data center buildouts: Can they ever be duplicated?
-
Physical AI deployment challenges and how to address them
-
What it finally takes to make quantum commercially viable
-
-
Problem Solve
Prompt engineering and other tips to prevent AI sycophancy
AI sycophancy can reinforce biases and lead to poor business outcomes. But what are the signs that AI has become sycophantic, and are there techniques to avoid it?
-
Key guardrails to defend against rogue AI agents
-
AI agent security: How reliable is enterprise AI testing?
-
Embodied AI vs. physical AI: Why their differences matter
-
-
Manage
AI extinction: What IT leaders need to know -- and do -- now
AI extinction concerns are growing among experts, but for enterprises, the focus should be on governance, accountability and risk management to prevent operational failures.
-
Key enterprise strategies for AI agent observability
-
AI cloud migration: Key steps to success
-
Planning AI infrastructure upgrades: Four steps for success
-
AI & Emerging Tech Basics
-
Get Started
Can Nvidia's physical AI strategy replicate its AI dominance?
Nvidia is building a broad physical AI ecosystem across training, simulation and deployment, but in a fragmented market, the chipmaker will need to coexist before it can dominate.
-
Get Started
Colossus data center buildouts: Can they ever be duplicated?
SpaceX's fast pace, energy capacity and crafty permitting in building the Colossus 1 and 2 data centers provide some worthy lessons that can be emulated -- and others that can't.
-
Get Started
Physical AI deployment challenges and how to address them
Physical AI can conjure up unique but solvable issues surrounding unpredictability, data quality, safety and cost overruns. Avoid business disruptions with these best practices.
Multimedia
Vendor Resources
- From Code to Production –Analyst Report
- The DevOps Roadmap for Security –eBook
- Enterprise Networking Sees Age of SASE and Network as a Service –Research Content
-
News
View All -
AI Ethics & Governance
Accelerating AI adoption and governance amid an AI slowdown
While many organizations are accelerating their use of AI, they need to focus on governance and invest in trust, security and alignment.
-
Enterprise AI Strategy
AI changes the ROI equation. Here’s how some have found success
A significant portion of enterprises struggle to demonstrate clear ROI from AI initiatives, but some have found areas where AI can provide productivity gains and even revenue growth.
-
AI Ethics & Governance
Calls for AI slowdown raise new challenges for open-weight models
Regulating frontier AI could sideline smaller open source developers and push enterprises to take on more of the safety and governance burden themselves.
AI & Emerging Tech Definitions
- What is automated machine learning (AutoML)?
- What is a data scientist? What do they do?
- What are AI agents? Types and examples
- What is an intelligent agent? Definition, use cases and benefits
- What is natural language processing (NLP)?
- Agentic AI explained: Key concepts and enterprise use cases
- What is a neural network?
- What is a robot? Definition, purpose, uses