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Prognostic model uses brain scans and machine learning to inform outcomes in TBI patients

Prognostic model uses brain scans and machine learning to inform outcomes in TBI patients

A prognostic model developed by University of Pittsburgh School of Medicine data scientists and UPMC neurotrauma surgeons is the first to use automated brain scans and machine...

Tackling multiple tasks with a single visual language model

Tackling multiple tasks with a single visual language model

One key aspect of intelligence is the ability to quickly learn how to perform a new task when given a brief instruction. For instance, a child may recognise real animals at the...

Neuro-symbolic AI emerges as powerful new approach

Neuro-symbolic AI emerges as powerful new approach

Symbolic AI algorithms have played an important role in AI's history, but they face challenges in learning on their own. After IBM Watson used symbolic reasoning to beat Brad...

What is behavioral analytics and when is it important?

What is behavioral analytics and when is it important?

You’re shopping for a car. You visit a manufacturer’s website to learn about model trims, review deals listed on the local dealer’s website, and then visit the dealership. What...

Exploring The Galaxy Of Fintech Services Within The Metaverse

Exploring The Galaxy Of Fintech Services Within The Metaverse

AR, VR, AI, IoT and blockchain are advancing fast. Similarly, their penetration into our daily lives, too, is increasing rapidly. They are being used across healthcare,...

Building ML Pipelines

Building ML Pipelines

In modern computing solutions, the concept of a DAG or Directed Acyclic Graph is central. While the term DAG has become quite the buzz word: understanding what they are, how...

 People in the Entire ML Lifecycle

People in the Entire ML Lifecycle

Editor’s note: Keith is a speaker for ODSC Europe 2022. Stay tuned for more information on his talk on human-in-the-loop in the ML lifecycle! I recently attended ODSC East 2022...

Artificial intelligence/machine learning reduces mistakes and waste

Artificial intelligence/machine learning reduces mistakes and waste

Good data—and lots of it—is key to making artificial intelligence/machine learning (AI/ML) production, inspection and packaging systems work without a hitch, plus well written...

IoT Trends: AI/ML and Edge Computing in IoT

IoT Trends: AI/ML and Edge Computing in IoT

There is something magical about the “edge.” For example, in environmental science, one studies “habitat borders” where certain varieties of plants grow heavily at the edge but...

Expanding the IBM Quantum Roadmap to anticipate the future of quantum-centric supercomputing | IBM Research Blog

Expanding the IBM Quantum Roadmap to anticipate the future of quantum-centric supercomputing | IBM Research Blog

A challenge of near-term quantum computation is the limited number of available qubits. Suppose we want to run a circuit for 400 qubits, but we only have 100 qubit devices...

Everything-As-A-Service: Why All Brands Must Consider Subscription Models

Everything-As-A-Service: Why All Brands Must Consider Subscription Models

One of the biggest business trends around, I believe the subscription and servitization model will shape the businesses of the future. Let's delve into what this trend means in...

What is neuromorphic computing? - University of York

What is neuromorphic computing? - University of York

What is neuromorphic computing? /in Articles , Artificial intelligence /by Samantha Bye Compared with first-generation artificial intelligence (AI), neuromorphic computing...