IBM

MIT And IBM Team Developed A Neural Network Pipeline, Called ‘RISP’, That...

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This Article Is Based On The Research Paper 'RISP: RENDERING-INVARIANT STATE PREDICTOR WITH DIFFERENTIABLE SIMULATION AND RENDERING FOR CROSS-DOMAIN PARAMETER ESTIMATION'. All Credit...

Researchers at MIT and IBM Propose an Efficient Machine Learning Method...

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This research summary is based on the paper 'DATA-EFFICIENT GRAPH GRAMMAR LEARNING FOR MOLECULAR GENERATION' Please don't forget to join our ML Subreddit Chemical engineers and...

IBM Researchers Showcase Their Non-Von Neumann AI Hardware Breakthrough in Neuromorphic...

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This research summary article is based on the paper. 'Phase-change memtransistive synapses for mixed-plasticity neural computations' Human brains are exceptionally good at remembering and learning...

Latest AI Research by IBM and JDRF Advances AI’s Ability To...

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This research summary article is based on the research paper 'Progression of type 1 diabetes from latency to symptomatic disease is predicted by distinct...

Researchers From The Hartree Centre, IBM, And REPROCELL Propose An Explainable...

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A project supported by the STFC Hartree Centre Discovery Accelerator accurately predicts patient response to treatments for ulcerative colitis and Crohn's disease. Artificial intelligence may...

Researchers from Tel Aviv Propose Long-Text NLP Benchmark Called SCROLLS

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Although lengthier texts contain a significant quantity of natural language in the wild, NLP benchmarks have always primarily focused on short texts, such as...

Understanding Bias in Artificial Intelligence Models and Ways to Mitigate

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Artificial intelligence's increased use in sensitive sectors such as recruiting, criminal justice, and healthcare has sparked a debate regarding bias and fairness. However, human...

IBM Researchers Built a Machine Learning Model That can Help Harness...

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The development of ecologically acceptable biochemical substitutes for industrial processes might be accelerated thanks to nature's molecular machinery. Enzymes are the master accelerators of nearly...

Yale University and IBM Researchers Introduce Kernel Graph Neural Networks (KerGNNs)

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Graph kernel approaches have typically been the most popular strategy for graph classification tasks. Graph kernels can be thought of as functions that measure...

IBM’s Approach Towards Preserving Adversarial Robustness of Machine Learning Systems

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In the real world, machine learning (ML) procedures can be sensitive to adversarial attacks. Algorithms take numeric vectors as inputs. A malicious attack is...
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