What’s Next in AI is fluid intelligence

What’s Next in AI is fluid intelligence

Our vision

Today's AI is narrow. While many AI models deliver value in specific, well-defined situations, applying those same models to new challenges requires an immense amount of new data and training.

Enterprises need AI that is fluid and adaptable, capable of applying knowledge acquired for one purpose to new domains and challenges. They need AI that can combine different forms of knowledge, unpack causal relationships, and learn new things on its own.

In short, enterprises need AI with fluid intelligence — and that's exactly what we're building.

Strategy

Four workstreams will achieve our vision

To achieve our vision, we'll have to make significant strides in algorithm development while improving our AI engineering tools and hardware.


Neurosymbolic AI ↓

There is no AI without algorithms. In our pursuit of fluid intelligence, we are continuing to advance our work in deep learning, and are putting significant investment into neurosymbolic AI, which combines the power of neural networks with symbolic methods to help AI reason more effectively.

Secure, Trusted AI ↓

In parallel, we're delivering secure, trusted
AI, with work focused on explainability, fairness, and bias reduction.

AI Engineering ↓

AI engineering, tools and capabilities that simplify and automate key tasks like data preparation, training and lifecycle management.

AI Hardware ↓

Finally, we're developing a new class of
AI hardware, that is inherently energy- efficient, increasing compute power by orders of magnitude without the demand
or increased energy.

Strategic teams

Neurosymbolic AI

We're integrating neural and symbolic techniques to build AI that can perform
more complex tasks by understanding and reasoning more like we do.

More on Neurosymbolic AI research

Featured progress

Blog

featured project

Neurosymbolic AI to Give Us Machines With True Common Sense


8-July-2020

featured project

Open Source

featured project

CLEVRER: The first video dataset for neuro-symbolic reasoning


18-Sept-2020

featured project

Secure, Trusted AI

Trust and security should be baked into
the core of any AI we put out into the world. We're building tools to help you ensure that it is.

More on Secure, Trusted AI research

Featured progress

Blog

featured project

Unleashing Cyber Reasoning Potential in The Era of AI Security


1-May-2020

featured project

Open Source

featured project

AI 360 Toolkits: Fairness, Explainability, and Robustness


18-Sept-2020

featured project

AI Engineering

We're building tools to help AI creators reduce the time they spend training, maintaining,
and updating their models.

Featured progress

Blog

featured project

AI for AI set to make it easy to create machine learning algorithms


3-Feb-2020

Featured project

Blog

featured project

Automating machine learning with a joint selection framework


1-May-2019

featured project

AI Hardware

Our digital and analog accelerators are driving massive improvements in computational power while remaining energy-efficient.

More on AI Hardware research

Featured progress

Blog

featured project

Fulfilling Brain-inspired Hyperdimensional Computing with In-memory Computing


1-June-2020

featured project

Blog

featured project

IBM Systems Research: AI and Hybrid Cloud Can Advance Only as Far as Hardware Can Take Them


16-June-2020

featured project