IBM

Incorporating demonstrating examples, known as in-context learning (ICL), significantly enhances large language models (LLMs) and large multimodal models (LMMs) without requiring parameter updates. Recent studies confirm the efficacy of few-shot multimodal ICL, particularly in improving LMM...
Machine learning models, which can contain billions of parameters, require sophisticated methods to fine-tune their performance efficiently. Researchers aim to enhance the accuracy of these models while minimizing the computational resources needed. This improvement is crucial...

IBM and MIT Researchers Introduce a New Machine Learning Approach that Finds Nonlinear Patterns of Neurodegenerative Disease Progression

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...

IBM Open-Sources Label Sleuth: Allowing Users Without Machine Learning Knowledge to Create Unique Text Classification Models From Scratch

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

IBM Researchers Showcase an Image Classifier Pretrained on Synthetic Data and Fine-Tuned on Real Data for Tasks, Did as Well as One Trained Exclusively...

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

IBM’s New Open-Source Tool Assist Businesses In Identifying Advertising Bias

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...

Meet ‘VALHALLA’, a Machine Learning Method That can Hallucinate an Image of Written Words, and Then Use It to Help Translate The Text into...

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

MIT And IBM Team Developed A Neural Network Pipeline, Called ‘RISP’, That Can Capture The Characteristics Of A Physical System’s Dynamic Motion From Video

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 That Uses Graph Grammar to Generate New Molecules

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 Computing That Can Help Create Machines To Recognize Objects Just Like Humans

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 Predict Onset of Type I Diabetes

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 Machine Learning Approach That Combines Bioinformatics And Domain Insight To Inform Precision Medicine...

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

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

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...

Snowflake AI Research Team Unveils Arctic: An Open-Source Enterprise-Grade Large Language Model (LLM) with...

0
Snowflake AI Research has launched the Arctic, a cutting-edge open-source large language model (LLM) specifically designed for enterprise AI applications, setting a new standard...

Google DeepMind Releases RecurrentGemma: One of the Strongest 2B-Parameter Open Language Models Designed for...

0
Language models are the backbone of modern artificial intelligence systems, enabling machines to understand and generate human-like text. These models, which process and predict...

Finally, the Wait is Over: Meta Unveils Llama 3, Pioneering a New Era in...

0
Meta has revealed its latest large language model, the Meta Llama 3, which is a major breakthrough in the field of AI. This new model is not just...

TrueFoundry Releases Cognita: An Open-Source RAG Framework for Building Modular and Production-Ready Applications

0
The field of artificial intelligence is rapidly evolving, and taking a prototype to production stage can be quite challenging. However, TrueFoundry has recently introduced a new...

Meet Zamba-7B: Zyphra’s Novel AI Model That’s Small in Size and Big on Performance

0
In the race to create more efficient and powerful AI models, Zyphra has unveiled a significant breakthrough with its new Zamba-7B model. This compact,...

Recent articles

🐝 🐝 Join the Fastest Growing AI Research Newsletter Read by Researchers from Google + NVIDIA + Meta + Stanford + MIT + Microsoft and many others...

X