Forza Motorsport revolutionizes its use of machine learning to craft … – Gamesradar
The Forza series has always wowed with its stunning visuals and commitment to realism in virtual racing. From the very first game's Mount Panorama Circuit to the third's Rally di Positano, and the fifth's Castillo Del Mar there's a certain, simple charm about hammering expensive, expertly-mirrored real-world cars around gorgeous settings; each one crafted with meticulous care. Forza Motorsport, Turn 10 Studio's latest entry to the enduring racing series, follows suit on all of these points.
But it's not just how Forza Motorsport looks and plays that's setting it up for the next evolution of the racing simulation genre, it's the process it's going through to get there.
"Part of what I love about working at Turn 10, and Xbox in general, is that we tackle weird problems that aren't always looked at in gaming," explains Forza general manager Dan Greenawalt. What the Forza mastermind is chiefly referring to here is Motorsport's new approach to machine learning, and during our hands-off demonstration at the Xbox Games Showcase, it feels like this will change the face of the racer entirely.
Greenawalt explains that the Forza series has long used machine learning to power its AI-controlled characters that player races against. In the pre-Xbox One days, this process was owed to a Bayesian machine learning system that operated on the console's local hard drive; but after this was moved onto the cloud. There, Greenawalt and his team used the network to train the Drivatar.
"Now, with the latest Forza, we've taken machine learning and applied it to build time and not run time or load time; so not while it's running or loading, but actually we're able to do it before the game launches. Instead of having machine learning power the moment-to-moment decisions of the Drivatar, we're having it train the Drivatar to control the car, and then we're using an optimizer to make the lines that Drivatar follows."
"What that's allowed us to do is train massive amounts of data so that we can take every car, with every upgrade, and all the tuning options through the wet, through the dry and train that controller so that the AI can make the car do everything it wants it to do. Ultimately, it was about applying the machine learning we were familiar with to a different place."
With that, Greenawalt says applying the machine learning to a different part of Drivatar has led he and his team to the fastest AI with no cheats or hacks, and to a position where they're maximizing their use of the technology in a non-arbitrary way.
Another area in which Forza has excelled throughout its 18-year existence is accessibility, and Motorsport also aims to be the most approachable so far.
Like machine learning, Forza has offered sophisticated assist options throughout its lineage, says Motorsport's creative director, Chris Esaki. Nodding to his colleague standing across the room, Esaki says: "Forza has always had amazing assist, even in the original games. Dan brought the amazing driving line into the world, and he did to simulation racing what Halo has done for shooters, in that he's made it so much more accessible and approachable on control pads."
"Over the years, we've added throttle assist, breaking assist, and turning assist, and you can turn all of those on and off at your will. And we have new additional levels of fidelity around all of those things. We even have one-button driving now, so if you want, you can play the entire game with a single input. If you only want to steer, you can. If you only want to brake, you can too. If you only want to accelerate, that's fine."
Esaki explains that in Forza Motorsport, the above has been evolved further still with the addition of audio assists that help streamline the process more than ever before. In practice, these might tell you when to turn when approaching a corner, or alert you to how near or far away you are to the apex.
He continues: "These audio assist cues can be toggled on and off, to the point where if you turn all of them on, you could literally put a blindfold on and drive around the track. We wanted this to be the most accessible racing simulation ever, no matter what your skill level is. Whether you are near-sighted, whether you're blind, fast or slow, you can have a great time with this game."
Both Esaki and Greenawalt promise more details on the above in the coming months, but at this early stage what Forza Motorsport is working with sounds impressive - all of this, of course, built around the series' signature looks and authentic racing simulation feel.
Forza Motorsport is coming to Xbox Series X, PC, and Xbox One on October 10, 2023.
Link:
Forza Motorsport revolutionizes its use of machine learning to craft ... - Gamesradar
- Machine learning helps identify 'thermal switch' for next-generation nanomaterials - Phys.org - October 17th, 2025 [October 17th, 2025]
- Machine Learning Makes Wildlife Data Analysis Less of a Trek - Maryland.gov - October 17th, 2025 [October 17th, 2025]
- An interpretable multimodal machine learning model for predicting malignancy of thyroid nodules in low-resource scenarios - BMC Endocrine Disorders - October 17th, 2025 [October 17th, 2025]
- In First-Episode Psychosis Patients, Machine Learning Predicted Illness Trajectories to Potentially Improve Outcomes - Brain and Behavior Research - October 17th, 2025 [October 17th, 2025]
- Novel Machine Learning Model Improves MASLD Detection in Type 2 Diabetes - The American Journal of Managed Care (AJMC) - October 17th, 2025 [October 17th, 2025]
- Hybrid machine learning models for predicting the tensile strength of reinforced concrete incorporating nano-engineered and sustainable supplementary... - October 17th, 2025 [October 17th, 2025]
- Modelling of immune infiltration in prostate cancer treated with HDR-brachytherapy using Raman spectroscopy and machine learning - Nature - October 17th, 2025 [October 17th, 2025]
- Association between atherogenic index of plasma and sepsis in critically ill patients with ischemic stroke: a retrospective cohort study using... - October 17th, 2025 [October 17th, 2025]
- AI enters the nuclear age: Pentagon modernizes warheads with machine learning - Washington Times - October 17th, 2025 [October 17th, 2025]
- AI and Machine Learning - Bentley Systems shares its vision for trustworthy AI - Smart Cities World - October 17th, 2025 [October 17th, 2025]
- Looking back to move forward: can historical clinical trial data and machine learning drive change in participant recruitment in anticipation of... - October 15th, 2025 [October 15th, 2025]
- Physics-Based Machine Learning Paves the Way for Advanced 3D-Printed Materials - Bioengineer.org - October 15th, 2025 [October 15th, 2025]
- Predicting one-year overall survival in patients with AITL using machine learning algorithms: a multicenter study - Nature - October 15th, 2025 [October 15th, 2025]
- Explainable machine learning models for predicting of protein-energy wasting in patients on maintenance haemodialysis - BMC Nephrology - October 15th, 2025 [October 15th, 2025]
- Feasibility of machine learning analysis for the identification of patients with possible primary ciliary dyskinesia - Orphanet Journal of Rare... - October 15th, 2025 [October 15th, 2025]
- Machine learning-based prediction of preeclampsia using first-trimester inflammatory markers and red blood cell indices - BMC Pregnancy and Childbirth - October 15th, 2025 [October 15th, 2025]
- Utilizing AI and machine learning to improve railroad safety: Detecting trespasser hotspots - masstransitmag.com - October 15th, 2025 [October 15th, 2025]
- Precision medicine meets machine learning: AI and oncology biomarkers - pharmaphorum - October 15th, 2025 [October 15th, 2025]
- Aether Pro Exchange Transforms Execution Dynamics with Machine-Learning Optimization - GlobeNewswire - October 15th, 2025 [October 15th, 2025]
- Prevalence, associated factors, and machine learning-based prediction of depression, anxiety, and stress among university students: a cross-sectional... - October 15th, 2025 [October 15th, 2025]
- Artificial Intelligence vs. Machine Learning: Which skills will open better career options in the global - Times of India - October 15th, 2025 [October 15th, 2025]
- Study Reveals Impact of Negative Class Definitions on Machine Learning Accuracy in Immunotherapy - geneonline.com - October 15th, 2025 [October 15th, 2025]
- Muna Al-Khaifi: Detection of Breast Cancer Using Machine Learning and Explainable AI - Oncodaily - October 13th, 2025 [October 13th, 2025]
- Expedia Group Unveils Innovative AI and Machine Learning Solutions to Transform Partner Travel Experiences - Travel And Tour World - October 13th, 2025 [October 13th, 2025]
- Machine Learning-Guided Prediction of Formulation Performance in Inhalable CiprofloxacinBile Acid Dispersions with Antimicrobial and Toxicity... - October 13th, 2025 [October 13th, 2025]
- Machine Learning and BIG DATA workshop planned Oct. 14-15 - West Virginia University - October 11th, 2025 [October 11th, 2025]
- How Google enables third-party circularity by increasing recycling rates with Machine Learning - The World Business Council for Sustainable... - October 11th, 2025 [October 11th, 2025]
- Integrating Artificial Intelligence and Machine Learning in Hydroclimatic Research - A Promising Step Forward - University of Northern British... - October 11th, 2025 [October 11th, 2025]
- Semi-automatic detection of anteriorly displaced temporomandibular joint discs in magnetic resonance images using machine learning - BMC Oral Health - October 11th, 2025 [October 11th, 2025]
- AI and Machine Learning - Partnership to bring infrastructure intelligence to US public sector - Smart Cities World - October 11th, 2025 [October 11th, 2025]
- Between rain and snow, machine learning finds nine precipitation types - Phys.org - October 9th, 2025 [October 9th, 2025]
- Between rain and snow, machine learning finds 9 precipitation types - Michigan Engineering News - October 9th, 2025 [October 9th, 2025]
- Machine learning optimizes nanoparticle design for drug delivery to the brain - Physics World - October 9th, 2025 [October 9th, 2025]
- Development and validation of a machine learning-based prediction model for prolonged length of stay after laparoscopic gastrointestinal surgery: a... - October 9th, 2025 [October 9th, 2025]
- G Sachs: Stock Mkt Not in Bubble Yet; Machine Learning/ AI Expected to Spawn New Wave of Superstars - AASTOCKS.com - October 9th, 2025 [October 9th, 2025]
- AI and Machine Learning - See.Sense works with City of Sydney to develop AI dashboard - Smart Cities World - October 9th, 2025 [October 9th, 2025]
- Machine Learning Used to Predict Live Birth Outcomes in Fresh Embryo Transfers - geneonline.com - October 9th, 2025 [October 9th, 2025]
- RIT researchers use machine learning to better understand the pathways of disease - Rochester Institute of Technology - October 7th, 2025 [October 7th, 2025]
- Leveraging machine learning to predict mosquito bed net utilization among women of reproductive age in sub-Saharan Africa - Malaria Journal - October 7th, 2025 [October 7th, 2025]
- Machine learning-based radiomics using magnetic resonance images for prediction of clinical complete response to neoadjuvant chemotherapy in patients... - October 7th, 2025 [October 7th, 2025]
- Machine Learning Self Driving Cars: The Technology Driving the Future of Mobility - SpeedwayMedia.com - October 7th, 2025 [October 7th, 2025]
- Investigating the relationship between blood factors and HDL-C levels in the bloodstream using machine learning methods - Journal of Health,... - October 7th, 2025 [October 7th, 2025]
- AI in the fast lane: F1 teams Alpine, Audi use machine learning as force multiplier - The Business Times - October 7th, 2025 [October 7th, 2025]
- Future Scope of Machine Learning in Healthcare Market Set to Witness Significant Growth by 2025-2032 - openPR.com - October 7th, 2025 [October 7th, 2025]
- AI and Machine Learning - AI readiness and adoption toolkit launched - Smart Cities World - October 4th, 2025 [October 4th, 2025]
- Machine Learning Model UmamiPredict Developed to Forecast Savory Taste of Molecules and Peptides - geneonline.com - October 4th, 2025 [October 4th, 2025]
- Machine Learning Boosts Crop Yield Predictions in Senegal - Bioengineer.org - October 4th, 2025 [October 4th, 2025]
- Machine learning-driven stability analysis of eco-friendly superhydrophobic graphene-based coatings on copper substrate - Nature - October 4th, 2025 [October 4th, 2025]
- Integrated machine learning analysis of proteomic and transcriptomic data identifies healing associated targets in diabetic wound repair - Nature - October 4th, 2025 [October 4th, 2025]
- Development and evaluation of a machine learning prediction model for short-term mortality in patients with diabetes or hyperglycemia at emergency... - October 4th, 2025 [October 4th, 2025]
- Fast and robust mixed gas identification and recognition using tree-based machine learning and sensor array response - Nature - October 4th, 2025 [October 4th, 2025]
- Estimation of sexual dimorphism of adult human mandibles of South Indian origin using non-metric parameters and machine learning classification... - October 4th, 2025 [October 4th, 2025]
- Cloud-Based Machine Learning Platforms Technologies Market Growth and Future Prospects - Precedence Research - October 4th, 2025 [October 4th, 2025]
- Machine Learning Framework Developed to Optimize Phosphorus Recovery in Hydrothermal Treatment of Livestock Manure - geneonline.com - October 4th, 2025 [October 4th, 2025]
- Unifying machine learning and interpolation theory via interpolating neural networks - Nature - October 2nd, 2025 [October 2nd, 2025]
- Anna: an open-source platform for real-time integration of machine learning classifiers with veterinary electronic health records - BMC Veterinary... - October 2nd, 2025 [October 2nd, 2025]
- The Future of Liver Health: Can Human Models and Machine Learning Reduce Disease Rates? - Technology Networks - October 2nd, 2025 [October 2nd, 2025]
- Machine Learning Radiomics Predicts Pancreatic Cancer Invasion - Bioengineer.org - October 2nd, 2025 [October 2nd, 2025]
- Next-generation COVID-19 detection using a metasurface biosensor with machine learning-enhanced refractive index sensing - Nature - October 2nd, 2025 [October 2nd, 2025]
- Machine learning-based models for screening of anemia and leukemia using features of complete blood count reports - Nature - October 2nd, 2025 [October 2nd, 2025]
- Estimating the peak age of chess players through statistical and machine learning techniques - Nature - October 2nd, 2025 [October 2nd, 2025]
- Optimizing water quality index using machine learning: a six-year comparative study in riverine and reservoir systems - Nature - October 2nd, 2025 [October 2nd, 2025]
- Physics-informed machine learning-based real-time long-horizon temperature fields prediction in metallic additive manufacturing - Nature - October 2nd, 2025 [October 2nd, 2025]
- The Silicon Revolution: How AI and Machine Learning Are Forging the Future of Semiconductor Manufacturing - FinancialContent - October 2nd, 2025 [October 2nd, 2025]
- Machine learning model for differentiating Pneumocystis jirovecii pneumonia from colonization and analyzing mortality risk in non-HIV patients using... - October 2nd, 2025 [October 2nd, 2025]
- Radiomics and Machine Learning Applied to CECT Scans Show Potential in Predicting Perineural Invasion in Pancreatic Cancer - geneonline.com - October 2nd, 2025 [October 2nd, 2025]
- Machine learning and response surface optimization to enhance diesel engine performance using milk scum biodiesel with alumina nanoparticles - Nature - October 2nd, 2025 [October 2nd, 2025]
- Landmark Patent Appeal Decision Strengthens Protection for AI and Machine Learning Innovations - The National Law Review - October 2nd, 2025 [October 2nd, 2025]
- Machine learning researchers and industry leaders gathering at Santa Clara University - Stories - News & Events - Santa Clara University - September 30th, 2025 [September 30th, 2025]
- Building better batteries with amorphous materials and machine learning - Tech Xplore - September 30th, 2025 [September 30th, 2025]
- Machine Learning-Supported Fragment Hit Expansion in Absence of X-Ray Structures - Evotec - September 30th, 2025 [September 30th, 2025]
- Machine learning model predicts which radiotherapy patients are most vulnerable to adverse side effects - Health Imaging - September 30th, 2025 [September 30th, 2025]
- How AI and Machine Learning Are Revolutionizing Laser Welding - Downbeach - September 30th, 2025 [September 30th, 2025]
- What if A.I. Doesnt Get Much Better Than This? - Machine Learning Week 2025 - September 30th, 2025 [September 30th, 2025]
- Sex estimation from the sternum in Turkish population using various machine learning methods and deep neural networks - SpringerOpen - September 30th, 2025 [September 30th, 2025]
- Predictive AI Must Be Valuated But Rarely Is. Heres How To Do It - Machine Learning Week 2025 - September 30th, 2025 [September 30th, 2025]
- Interpretable machine learning incorporating major lithology for regional landslide warning in northern and eastern Guangdong - Nature - September 28th, 2025 [September 28th, 2025]
- Building Machine Learning Application with Django - KDnuggets - September 28th, 2025 [September 28th, 2025]
- Evaluating the use of body mass index change as a proxy for anorexia nervosa recovery: a machine learning perspective - Journal of Eating Disorders - September 28th, 2025 [September 28th, 2025]
- Prediction of cutting parameters and reduction of output parameters using machine learning in milling of Inconel 718 alloy - Nature - September 28th, 2025 [September 28th, 2025]