Artificial Intelligence (AI) is a broad term with no single authoritative definition — and frequently, people mean different things when they use it.
However, AI commonly means:
The term AI is often imprecise. AI is sometimes used interchangeably with machine learning, but the two terms are not identical. Machine learning is one promising set of techniques used to develop AI, but others exist. We disambiguate machine learning and AI more fully [see the link below].
AI is also a moving target. The “AI effect” is a paradox in which problems thought to require AI, once largely solved, are no longer seen as requiring “intelligence.” This dynamic further contributes to ambiguity around the definition of AI.
—CSET Glossary, “Artificial Intelligence”
Generally, [Artificial Intelligence] constitutes a fuzzy term referring to the ability of a machine to perform cognitive functions. Approaches to AI can be subdivided into deductive—that is, model-driven (such as expert systems)—or inductive—that is, data-driven.
—CACM, “There Is No AI Without Data“
With ecosystems in crisis, engineers and scientists are teaming up to decipher what animals are saying. Their hope: By truly listening to nature, humans will decide to protect it.
How to Use AI to Talk to Whales—and Save Life on Earth Read More
The scale of the fighting and the sheer number of weapons systems and high-tech sensors deployed have created a vast amount of data about how battles are fought and how people and machines behave under fire. For businesses that want to build the next generation of weapons, or train systems that will be useful in future conflicts, that is a resource of incalculable value.
Everyone Wants Ukraine’s Battlefield Data Read More
And college students are developing the weapons, quickly building tools that identify AI-generated text—and tools to evade detection. … There’s no stopping AI writing; the only option is to work with it.
The AI Detection Arms Race Is On Read More
Looking for ways to cut the release of greenhouse gases attributable to AI use, at a time that usage is very likely to grow.
The Carbon Footprint of Artificial Intelligence Read More
They met by chance, got hooked on an idea, and wrote the “Transformers” paper—the most consequential tech breakthrough in recent history.
8 Google Employees Invented Modern AI. Here’s the Inside Story Read More
The young company sent shock waves around the world when it released ChatGPT. But that was just the start. The ultimate goal: Change everything. Yes. Everything.
What OpenAI Really Wants Read More
AI is making its way into decision-making in battle. Who’s to blame when something goes wrong?
Inside the messy ethics of making war with machines Read More
Tips for aspiring innovators on trying, failing, and the future of AI.
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Li’s research could prevent AI models from failing catastrophically when they encounter unfamiliar scenarios.
2023 Innovator of the Year: As AI models are released into the wild, Sharon Li wants to ensure they’re safe Read More
Using AI to predict weather has a big advantage: it’s fast. Traditional forecasting models are big, complex computer algorithms based on atmospheric physics and take hours to run. AI models can create forecasts in just seconds.
Weather forecasting is having an AI moment Read More
They could also help to make them more accurate.
New AI systems could speed up our ability to create weather forecasts Read More
Traditionally, people have been forced to reduce complex choices to a small handful of options that don’t do justice to their true desires. Artificial intelligence has the potential to remove that limitation. And it has the potential to drastically change how democracy functions.
AI could improve your life by removing bottlenecks between what you want and what you get Read More
To achieve local AI, we need to change how we think about designing both our processing hardware and our deep learning software.
Unleashing the Power of Deep Learning Read More
How artificial intelligence and computer science grew up together.
Conjoined Twins: Artificial Intelligence and the Invention of Computer Science Read More
A chatbot prompt is a probe into the conversation of a crowd.
Can Generative AI Bots Be Trusted? Read More
The emergence of these large learned models is also changing the nature of AI research in fundamental ways.
Changing the Nature of AI Research Read More
The historians of tomorrow are using computer science to analyze how people lived centuries ago.
How AI is helping historians better understand our past Read More
Verified AI is the goal of achieving strong, ideally provable assurances of correctness and trustworthiness of AI systems with respect to mathematically specified requirements. Five challenge areas for verified AI: Environment modelling, Formal specification, Modeling learning systems, Scalable formal engines, and Correct-by-construction design.
Toward Verified Artificial Intelligence Read More
Defense tech companies have latched on to the metaverse hype—but what they’re building will be a far cry from Meta’s virtual world.
The US Military Is Building Its Own Metaverse Read More
Honorees from this year’s 35 Innovators list are employing AI to find new molecules, fold proteins, and analyze massive amounts of medical data.
AI’s progress isn’t the same as creating human intelligence in machines Read More