You might think that a machine learning (ML) specialist company likeIntellegens is always pursuing the perfect model - one that takes a new set of system inputs and predicts their outputs correctly every time. But, despite the importance of model accuracy, it is possible to focus on it too much in real-world R&D.
A near-perfect model typically considered a model that predicts outputs reliably to within 5% - could mean thatmachine learning (ML)has found a set of robust relationships not previously observed by cutting through multi-dimensional complexity.
Image Credit: Intellegens Limited
However, this can also mean that experiments were poorly designed or trivial, and the ML is simply confirming the obvious. Such perfection is, in any case, mathematically unachievable in many complex systems with inherent uncertainties.
In the real world of R&D, a typical use case might be designing a set of experiments to find more effective formulations, chemicals, or materials. Here, visualizing the range of possibilities is beyond the capacity of the human brain and even relatively sophisticated Design of Experiments methods still result in large, expensive and time-consuming experimental programs. Users dont want perfection they just want ML to shift the odds in their favor, with predictions that outperform the logic currently driving their work.
Pursuing the ideal model may also waste time that is better spent elsewhere. It may also lead to users inadvertently narrowing down their search space in ways that exclude more innovative solutions.
Instead of asking how accurate a model is, the right question may focus on the models usefulness. Below are Intellegens top five examples of questions that might help a user to shape their model:
1. Can we get to an answer in fewer experiments?
Does the ML that is being used have the ability to understand what missing data could best improve its accuracy? This information can then be deployed to decide what experiment to perform next, resulting in a significantly reduced time-to-market. In some cases, theAlchemitesoftware from Intellegens has reduced experimental workloads by 80%+. More commonly, reductions of 50% are reported.
2. How do we generate new ideas for formulations that achieve our goals?
New concepts with a chance of success can result from a moderately-accurate model. And R&D teams are given a big helping hand if the model comes with a robust estimate of its uncertainty, pointing them towards those most likely to succeed. If the ML can move the dial so that one in three candidate formulations succeed when the previous metric was one in five, this could make a big difference.
3. Can we remove costly or environmentally harmful ingredients?
Questions like this typically derive from consumer, regulatory, or market pressure and require a fast response. ML can screen potential solutions, and an indication of probable success can be given by quantifying the uncertainty of the predictions.
4. Where should we focus which inputs are the most significant?
The absolute accuracy of predictions may be less important than whether useful relationships are identified, for example, between structure, processing variables, and properties. Often, the latter is the most vital piece of information that users need. A series ofanalytical toolsthat enable users to explore the sensitivity of outputs to particular inputs are provided by Alchemite.
5. Can we make better use of the expertise weve already developed?
Insight developed at great expense in R&D projects is often not be re-used. A valuable starting point for future projects can be provided by the ability to capture this insight in anML model.
Alchemite Analytics How Do Changes in Inputs Impacts Outputs?
Rather than focusing on ML as a magic bullet, it is essential to consider its use in informing scientific intuition and functioning alongside it.
Image Credit: Intellegens Limited
It is vital to have the right tools like uncertainty quantification and graphical analytics to interrogate and understand the results. When data is messy, as it often is in R&D, rather than investing up-front effort to clean and enrich the data, it can be valuable to be able to generate an ML model even an imperfect one quickly. By exploring this model, users can gain insight and improve their work iteratively and at a much lower cost.
The team at Intellegens values accurate models, and sometimes, they are, of course, essential. Mostly they also work in the spirit of the aphorism commonly attributed to statistician George Box:All models are wrong; some are useful.
This information has been sourced, reviewed and adapted from materials provided by Intellegens Limited.
For more information on this source, please visit Intellegens Limited.
Read more here:
Its Not Just About Accuracy - Five More things to Consider for a Machine Learning Model - AZoM
- Machine learning provides a new picture of the great gray owl - Phys.org - April 2nd, 2024
- What is Machine Learning? Definition, Types, Tools & More - April 2nd, 2024
- Revolutionizing Industries: The Convergence of RFID, AI, and Machine Learning - yTech - April 2nd, 2024
- Layerwise Importance Sampled AdamW (LISA): A Machine Learning Optimization Algorithm that Randomly Freezes Layers of LLM Based on a Given Probability... - April 2nd, 2024
- Dimensionality reduction for images of IoT using machine learning | Scientific Reports - Nature.com - April 2nd, 2024
- 3 Machine Learning Stocks That Could Be Multibaggers in the Making: March Edition - InvestorPlace - April 2nd, 2024
- Researchers use machine learning to improve the taste of Belgian beers Physics World - physicsworld.com - April 2nd, 2024
- PM Modi Emphasizes The Importance Of Incorporating AI & Machine Learning To Enhance Digital Infra - Business Today - April 2nd, 2024
- Accurate and rapid antibiotic susceptibility testing using a machine learning-assisted nanomotion technology platform - Nature.com - March 21st, 2024
- Machine Learning Accelerates the Simulation of Dynamical Fields - Eos - March 21st, 2024
- Quantum Machine Learning: Exploring the Intersection of New Frontiers - DataScientest - March 21st, 2024
- Advancements in Pancreatic Cancer Detection: Integrating Biomarkers, Imaging Technologies, and Machine Learning ... - Cureus - March 21st, 2024
- Google Health Researchers Propose HEAL: A Methodology to Quantitatively Assess whether Machine Learning-based Health Technologies Perform Equitably -... - March 21st, 2024
- A change in the machine learning landscape - InfoWorld - March 21st, 2024
- Informing immunotherapy with multi-omics driven machine learning | npj Digital Medicine - Nature.com - March 21st, 2024
- Crypto Entities That Neglect AI and Machine Learning Investment Will Lag Behind, Warns Binance CTO Bitcoin News - Bitcoin.com News - March 21st, 2024
- MIT Researchers Developed an Image Dataset that Allows Them to Simulate Peripheral Vision in Machine Learning Models - MarkTechPost - March 21st, 2024
- BurstAttention: A Groundbreaking Machine Learning Framework that Transforms Efficiency in Large Language Models with Advanced Distributed Attention... - March 21st, 2024
- A machine learning system to identify progress level of dry rot disease in potato tuber based on digital thermal image ... - Nature.com - January 24th, 2024
- Mind the Gap Machine Learning, Dataset Shift, and History in the Age of Clinical Algorithms | NEJM - nejm.org - January 24th, 2024
- Cracking the Business Code of Clusters Machine Learning Times - The Machine Learning Times - January 24th, 2024
- Machine-learning-based models found to have predictive abilities no better than chance in out-of-sample evaluations - 2 Minute Medicine - January 24th, 2024
- Hybrid machine learning method boosts resolution of electrical impedance tomography - Tech Xplore - January 24th, 2024
- Cow moos and burps to be monitored using machine learning - FoodNavigator.com - January 24th, 2024
- Enhancing foveal avascular zone analysis for Alzheimer's diagnosis with AI segmentation and machine learning using ... - Nature.com - January 24th, 2024
- How to Use AI and Machine Learning for Academic Research - Innovation & Tech Today - January 24th, 2024
- Smart Use of Machine Learning Algorithms: Beyond the Hype, Into Real-World Solutions - Medium - January 24th, 2024
- How A.I./Machine Learning Is Boosting the Diversity of U.S. Med Students and Americas Future Doctors - Higher Education Digest - January 24th, 2024
- Weekly AiThority Roundup: Biggest Machine Learning, Robotic And Automation Updates - AiThority - January 24th, 2024
- How to Develop and Deploy Machine Learning Project in Python - Analytics Insight - January 24th, 2024
- Machine learning education | TensorFlow - January 7th, 2024
- How LinkedIn Uses Machine Learning to Address Content-Related Threats and Abuse - InfoQ.com - January 7th, 2024
- What is AI and Machine Learning? - GovernmentCIO Media & Research - January 7th, 2024
- Overview: Machine Learning Specialization by Andrew Ng (Course 1) - Medium - January 7th, 2024
- Study uses new tools, machine learning to investigate major cause of blindness in older adults - Medical Xpress - January 7th, 2024
- Leveraging AI and Machine Learning on AWS | by Be | Jan, 2024 - Medium - January 7th, 2024
- The Future at the Intersection of AI, Machine Learning, and Data Science - Medriva - January 7th, 2024
- Navigating the AI Landscape: From Machine Learning Foundations to Multimodal Advancements - Medium - January 7th, 2024
- Brake Noise And Machine Learning (3 of 4) - The BRAKE Report - January 7th, 2024
- 'Local' machine learning promises to cut the cost of AI development in 2024 - ITPro - January 7th, 2024
- Voice Recognition with Machine Learning on Arduino Nano 33 BLE Sense - Medium - January 7th, 2024
- This Paper from MIT and Microsoft Introduces LASER: A Novel Machine Learning Approach that can Simultaneously Enhance an LLMs Task Performance and... - January 7th, 2024
- How to Choose the Right Advanced Certification Program in AI & Machine Learning - TechGraph - January 7th, 2024
- What Is Machine Learning? | A Beginner's Guide - Scribbr - November 17th, 2023
- AI vs. Machine Learning vs. Deep Learning vs. Neural Networks ... - IBM - January 30th, 2023
- The Latest Google Research Shows how a Machine Learning ML Model that Provides a Weak Hint can Significantly Improve the Performance of an Algorithm... - January 30th, 2023
- What Is Machine Learning and Why Is It Important? - January 22nd, 2023
- Achieving Next-Level Value From AI By Focusing On The Operational Side Of Machine Learning - Forbes - January 22nd, 2023
- UCLA Researcher Develops a Python Library Called ClimateLearn for Accessing State-of-the-Art Climate Data and Machine Learning Models in a... - January 22nd, 2023
- Alto Neuroscience Presents New Data Leveraging EEG and Machine Learning to Predict Individual Response to Antidepressants at the 61st Annual Meeting... - December 12th, 2022
- Apple has released a Set of Optimizations that allow the Stable Diffusion AI Image Generator to be used on Apple Silicon, making use of Core ML,... - December 12th, 2022
- Genomic Testing Cooperative to Present Data at the American Society of Hematology Meeting on New Applications of its Proprietary Tests that Combine... - December 12th, 2022
- Astronomers at Caltech Have Used a Machine Learning Algorithm to Classify 1,000 Supernovae Completely Autonomously - MarkTechPost - December 4th, 2022
- Deep Learning | NVIDIA Developer - November 25th, 2022
- Check Out This Tool That Uses Machine Learning To Animate 3D Models In Real-Time And Will Soon Be Compatible With Unreal Engine - MarkTechPost - November 17th, 2022
- The NFT World is Evolving, and That's No Secret. Machine Learning and Algorithmic Tools ... - Latest Tweet - LatestLY - October 23rd, 2022
- Machine learning operations offer agility, spur innovation - MIT Technology Review - October 15th, 2022
- Machine learning to predict the development of recurrent urinary tract infection related to single uropathogen, Escherichia coli | Scientific Reports... - October 15th, 2022
- The more data, the more deep learning capacity - Innovation Origins - October 15th, 2022
- Outlook on the Machine Learning in Life Sciences Global Market to 2027 - Featuring Alteryx, Anaconda, Canon Medical Systems and Imagen Technologies... - October 15th, 2022
- Forensic Discovery Taps Reveal-Brainspace to Bolster its Analytics, AI and Machine Learning Capabilities - Business Wire - October 15th, 2022
- Long-term exposure to particulate matter was associated with increased dementia risk using both traditional approaches and novel machine learning... - October 15th, 2022
- Machine Learning | Google Developers - October 7th, 2022
- Machine Learning in Oracle Database | Oracle - October 7th, 2022
- Learning on the edge | MIT News | Massachusetts Institute of Technology - MIT News - October 7th, 2022
- Study: Few randomized clinical trials have been conducted for healthcare machine learning tools - Mobihealth News - October 7th, 2022
- The Worldwide Industry for Machine Learning in the Life Sciences is Expected to Reach $20.7 Billion by 2027 - ResearchAndMarkets.com - Business Wire - October 7th, 2022
- Dominos MLops release focuses on GPUs and deep learning, offers multicloud preview - VentureBeat - October 7th, 2022
- MLOps Company Iterative Sees Steady Growth in First Half of 2022 - Business Wire - October 7th, 2022
- Machine learning tool could help people in rough situations make sure their water is good to drink - ZME Science - October 7th, 2022
- Developing Machine-Learning Apps on the Raspberry Pi Pico - Design News - October 7th, 2022
- Arctoris welcomes on board globally recognized experts in Machine Learning, Chemical Computation, and Alzheimer's Disease - Business Wire - October 7th, 2022
- Machine vision breakthrough: This device can see 'millions of colors' - Northeastern University - October 7th, 2022
- RBI plans to extensively use artificial intelligence, machine learning to improve regulatory supervision - ETCIO - October 7th, 2022
- Artificial intelligence may improve suicide prevention in the future - EurekAlert - October 7th, 2022
- Google turns to machine learning to advance translation of text out in the real world - TechCrunch - September 29th, 2022
- Machine learning has predicted the winners of the Worlds - CyclingTips - September 29th, 2022
- Peking University released the first open-source dataset for machine learning applications in fast chip design - EurekAlert - September 29th, 2022
- Predicting the effects of winter water warming in artificial lakes on zooplankton and its environment using combined machine learning models |... - September 29th, 2022
- Bryant launches graduate programs in Business Analytics, Data Science, Healthcare Informatics, and Taxation - Bryant University - September 29th, 2022