AI

IBM Research AI: Advancing AI for industry and society

How the world’s first smartwatch inspired cutting-edge AI 

Between 2000 and 2001, IBM Research made headlines when it launched an internet-enabled designer watch running Linux, an open-source operating system. Dubbed WatchPad, its aim was to demonstrate the capabilities of the then-novel OS for mobile and embedded devices.

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Peeking into AI’s ‘black box’ brain — with physics

Our team has developed Physics-informed Neural Networks (PINN) models where physics is integrated into the neural network’s learning process – dramatically boosting the AI’s ability to produce accurate results. Described in our recent paper, PINN models are made to respect physics laws that force boundaries on the results and generate a realistic output.

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Who. What. Why. New IBM algorithm models how the order of prior actions impacts events

To address the problem of ordinal impacts, our team at IBM T. J. Watson Research Center has developed OGEMs – or Ordinal Graphical Event Models – new dynamic, probabilistic graphical models for events. These models are part of the broader family of statistical and causal models called graphical event models (GEMs) that represent temporal relations where the dynamics are governed by a multivariate point process.

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IBM’s Squawk Bot AI helps make sense of financial data flood

In our recent work, we detail an AI and machine learning mechanism able to assist in correlating a large body of text with numerical data series used to describe financial performance as it evolves over time. Our deep learning-based system pulls out from large amounts of textual data potentially relevant and useful textual descriptions that explain the performance of a financial metric of interest – without the need of human experts or labelled data.

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COVID-19 a year later: What have we learned?

We’ve learned a lot during the past year about how to address global crises, but in my mind, one lesson cannot be ignored: The need for more strategic collaborations across institutions and sectors.

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IBM’s innovation: Topping the US patent list for 28 years running

A patent is evidence of an invention, protecting it through legal documentation, and importantly, published for all to read. The number of patents IBM produces each year – and in 2020, it was more than 9,130 US patents – demonstrates our continuous, never-ending commitment to research and innovation.

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Light and in-memory computing help AI achieve ultra-low latency

Ever noticed that annoying lag that sometimes happens during the internet streaming from, say, your favorite football game? Called latency, this brief delay between a camera capturing an event and the event being shown to viewers is surely annoying during the decisive goal at a World Cup final. But it could be deadly for a […]

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IBM-Stanford team’s solution of a longstanding problem could greatly boost AI

IBM-Stanford team’s solution of a longstanding problem could greatly boost AI.

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IBM-MIT launch new AI challenge to push the limits of object recognition models

Today, we are announcing a challenge for the computer vision community to develop robust models for object recognition, demonstrating accurate predictions on ObjectNet images.

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Coders worldwide help computers understand natural language

The competition, called NLC2CMD for ‘Natural Language to Command,’ ran as part of the NeurIPS 2020 program until December – and this Saturday, we’ll finally see what the winners have come up with.

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IBM and MIT researchers find a new way to prevent deep learning hacks

Deep learning may have revolutionized AI – boosting progress in computer vision and natural language processing and impacting nearly every industry. But even deep learning isn’t immune to hacking.

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AI to help doctors develop personalized treatments

IBM researchers have created an AI-powered software to help doctors develop personalized treatments for different patients with the exact same diagnosis.

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