Artificial Intelligence
30 articles

IIT Kharagpur Launches AI Executive Courses Online for 2026
IIT Kharagpur is now offering an Executive Post Graduate Certificate in Generative AI & Agentic AI for ₹1,99,000, making advanced AI education accessible online, but at a significant price point.

Ex-Google engineer predicts AI to cut 50% of Big Tech jobs
Steve Yegge, a former Google engineer, predicts AI will lead Big Tech companies to cut 50% of their engineers.

What are the foundational principles of trustworthy AI development?
The technology-based factors of AI that affect trust are unique and usually more challenging than other technologies, even compared to rule-based automation, according to Nature .
AI Lexicon Explains Essential Terms for Broader Understanding
Just last week, a major tech CEO admitted on a public earnings call that even he struggles to keep up with the new AI terminology emerging daily.

What are MLOps Principles and Why Do They Matter for AI Deployment?
Machine learning models, once deployed, inherently decay in their predictive accuracy, a critical challenge that manual updates cannot efficiently scale to meet.

AI Ethics Education Lags, Leaving Students Unprepared
A 4th grader using Adobe Express for a Pippi Longstocking book report received sexually explicit AI-generated images, exposing immediate, unaddressed ethical failures of artificial intelligence in edu

What Are the AI Implications for Work in 2026?
ChatGPT achieved 100 million monthly active users within two months of its public launch in 2022, setting a record for the fastest-growing user base in history, according to UCDavis .

What is Edge AI and Why is it Revolutionizing Data Processing?
By 2030, Edge AI device revenues will exceed $100 billion, capturing 55% of the overall AI market, a profound shift in how intelligence deploys ( Imagination Technologies ).

AI Leaders Need Deep Tech Skills for 2026 Success
A company's AI adoption isn't just about its tech stack; new research indicates that the digital background of its leadership team can be a more significant predictor of success than its R&D budget.

Cisco in talks to acquire Astrix Security for AI identity protection
Cisco Systems is reportedly in talks to acquire Israeli AI security startup Astrix Security for up to $350 million, marking its second AI-focused security acquisition in recent months.

What are AI tech debt management strategies for enterprises?
Data quality issues are the No.

What is Knowledge Distillation in AI and Why Does It Matter?
A state-of-the-art ResNet-50 model for ImageNet, achieving 82.

Software Engineer Jobs Surge Amid AI's Unforeseen Impact
Software engineering job listings have roughly doubled since a trough in mid-2023, reaching multi-year highs, according to Business Insider .

AI Drives Data Standardization, Faces 2026 Interoperability Hurdles
Despite decades of effort to standardize data, a significant portion of healthcare information remains siloed.

AI Education Must Now Include Ethics, Not Just Code
A graphic design software, Adobe Express for Education, generated sexualized images for a 4th grader's book report, starkly illustrating the immediate, unmanaged risks of artificial intelligence (AI)

AI Healthcare Diagnostics That Outperform Human Experts
Google Health developed a program predicting acute kidney injury up to two days before onset, offering a critical window for intervention.

A Guide to Essential AI Productivity Tools for the Modern Hybrid Workplace
Essential AI productivity tools are transforming the modern hybrid workplace, but selecting the right one is crucial for actual gains. This guide categorizes top AI tools by use case, from general assistance to specialized content creation, to help you make informed decisions.

What Is Prompt Engineering? A Guide for Large Language Models
Prompt engineering is the art and science of designing inputs to guide powerful AI toward specific, accurate, and useful outputs. Mastering this skill is crucial for unlocking the full potential of large language models.

What Is Federated Learning and How Does It Preserve AI Privacy?
Federated learning is a decentralized AI training technique that allows models to learn from sensitive data without compromising individual privacy. This innovative approach is crucial for industries like healthcare and finance, enabling collaborative AI development while keeping data local.

Artificial Intelligence vs. Machine Learning: Key Differences and Applications
Artificial Intelligence and Machine Learning are often used interchangeably, but they represent distinct concepts with a hierarchical relationship. This article clarifies their core differences, applications, and how they shape our technological world.

What Is Generative AI? A Guide to Models, Applications, and Ethical Considerations
Generative AI is rapidly transforming industries by creating novel content, from text to images. This guide explores its core models, applications, and the crucial ethical considerations surrounding its use.

What Is Synthetic Data? A Guide to Its Applications and Ethical Considerations
Synthetic data offers a powerful solution to train AI models on vast datasets without compromising individual privacy. This guide explores its applications, generation methods, and crucial ethical considerations.

Alabama A&M University Selected to Lead New Amazon AI Program
Alabama A&M University has been selected as one of five institutions nationwide to lead a new Amazon Web Services-Machine Learning University program. This partnership aims to broaden access to advanced AI and machine learning education, creating direct pathways for students into high-demand technology careers.

What Is Reinforcement Learning? A Guide to AI's Trial-and-Error Powerhouse
Reinforcement Learning (RL) is a powerful AI paradigm enabling machines to master complex tasks through digital trial and error. This approach drives breakthroughs in robotics, gaming, and autonomous systems by allowing agents to learn optimal behaviors directly from their environment.

What Is Explainable AI (XAI)? A Guide to Building Trust in AI Systems
While many organizations trust AI, few invest in safeguards for true trustworthiness. Explainable AI (XAI) bridges this gap by making AI decisions transparent and understandable, fostering confidence in its outcomes.

New AI Market Report Projects Industry Growth to $3.6 Trillion by 2033
A new AI market report projects the global artificial intelligence market will reach USD 3,636 billion by 2033. This significant growth reflects a compound annual growth rate of 37.3% from 2024.

Top 5 AI-Powered Project Management Tools for 2026
Looking to enhance team collaboration and efficiency? This guide breaks down the top 5 AI-powered project management tools for 2026, helping you integrate intelligent automation into your workflows.

The Personal AI Backlash Is Not Fear, It's a Crisis of Trust
The growing public backlash against personal AI is not simple technophobia; it is a rational and necessary response to the rapid, ungoverned integration of a technology fundamentally eroding foundational concepts of trust and authenticity. We are witnessing a societal immune response to tools that, while powerful, are being woven into the fabric of our daily lives without a coherent ethical framework.

AI in Journalism Is a Trust Crisis Waiting to Happen
The uncritical integration of AI in journalism content creation is not an efficiency upgrade; it is a systemic risk to media credibility that news organizations are dangerously underestimating.

What Is Neuromorphic Computing? A Guide to Brain-Inspired AI Hardware
Neuromorphic computing is an emerging paradigm that redesigns computer architecture by taking inspiration from the human brain. This approach promises to deliver AI performance with a fraction of the power consumption, unlocking new possibilities for intelligent devices and sustainable large-scale AI systems.