IBM

Academic researchers' work over ten years ago was crucial in developing contemporary artificial intelligence as we see it today. It was demonstrated that training...

Studies have shown that it is possible to adjust the pre-trained model for newly collected sensory data after deployment for on-device training. The model...

Amyotrophic lateral sclerosis (ALS), Alzheimer's disease, and Parkinson's disease are all examples of neurodegenerative disorders, which are complex and chronic illnesses. These disorders have...

Text analysis, including phrase completion, web translation, and text summaries produced by AI models, are becoming commonplace. But to adapt them to new tasks,...

In a recent research article by IBM, the research team raised concerns regarding how the machine learning and computer vision jobs be performed with...

Algorithmic bias is a well-known issue in which unjust human assumptions and judgments are frequently encoded into algorithms, resulting in unfair targeting of specific...

This Article is written as a summay by Marktechpost Staff based on the paper 'VALHALLA: Visual Hallucination for Machine Translation'. All Credit For This...

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...

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...

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...

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

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...

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

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...

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...

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

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

On a silicon sheet, the most modern processors resemble expansive suburbs, with transistors stacked like blocks of dwellings. IBM attempts to flatten the entire...

If you have checked your bank account, used a credit card, gone to the doctor, booked a ticket, paid your taxes, or bought anything...

'VanDEEPol', a hybrid AI/mechanistic model to predict brain activity and structure from imaging data, is IBM's most recent development in the field of brain...

We live in a world where significant technological developments in processing technology have dramatically transformed our way of life, with rapid improvements in computing...

Quantum Machine Learning techniques have become quite popular in recent years among many computer scientists and physicists investigating their potential.  Machine learning algorithms have achieved...

IBM has created an algorithm that can intelligently tell the computer which simulations are worth running and focus resources on them. The hope is...

The research on the power of AI and machine learning-based approaches for better understanding the circadian clock and its regulation has been published by...

New research by IBM researchers and Michael J. Fox Foundation for Parkinson’s Research (MJFF) published in Lancet Digital Health details an AI model that...

Imagine trying to solve a puzzle with one billion pieces. Imagine the feeling of accomplishment when you finish it, and then imagine how frustrating...

Building machines that can make decisions based on common sense is no easy feat. A machine must be able to do more than merely...

Many quantum machine learning algorithms have been believed to provide exponential speed-ups over classical machine learning (ML) approaches, based on the assumption that classical...

Data and machine-learning analytics are becoming more widespread, but they grow in complexity with larger datasets requiring much time for configuration. Researchers spend less...

Deep learning-based Artificial Intelligence (AI) systems have a history of generating overconfident predictions, even when they are inaccurate, which can have significant repercussions. If...

As the demand for energy-efficient, sustainable and smart technology is rapidly increasing, IBM has developed a new technology, considered the world’s first energy-efficient chips for AI inference...

Chemical space, a concept in cheminformatics, refers to the property space spanned by all possible chemical compounds and molecules adhering to a given set...

Object localization means locating an instance of a particular moving object in a scene. This is done by using visual data as the input...

Microsoft, in collaboration with MITRE research organization and a dozen other organizations, including IBM, Nvidia, Airbus, and Bosch, has released the Adversarial ML Threat...

Whenever any data scientist thinks of developing a pipeline, they try bringing automated machine learning into the picture to make the task easier. However,...

Scientists at IBM, the Broad Institute of MIT and Harvard, and health tech company Color published a study that states the nearness of genetic...

The global novel Coronavirus (COVID-19) pandemic is rapidly evolving and expanding. There is still a lot of news coverage about community spread every day. While...