R and D
Use Cases
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All R and D AI Use Cases
Accelerate data integration from multiple sourcesAccelerate drug discovery by automating research stages and data integration and analysisAccelerate identification and protection of intellectual propertyAccelerate product discovery based on modelling of componentsAddress employee concerns anonymouslyAlerting and diagnostics from real time patient dataAnalyse biomarkers such as genes for medical potentialAnalyse clinical outcomes to adapt clinical trial designAnalyse social media data to evaluate architectural or planning impact of new developmentsAssess building damage from weather or natural disasters with drones and satellite delivered imageryAssess environmental health status and bio-diversity of natural sitesAssist developers by helping them to identify code errors in real-timeAssist hearing impaired people by translating to and from sign languageAssist physicians by diagnosing and providing the latest medical information about rare conditionsAssist visually impaired people by describing images or reading textAssisted or automated diagnosis and prescriptionAutogenerate captioning on video or audio filesAutomate aircraft pilotingAutomate analysis of customer surveys and reviewsAutomate background checking for potential employeesAutomate content generation for video and image based marketing materialsAutomate content generation for written based marketing materialsAutomate customer service voice conversations with conversational agentAutomate data cleansing and validationAutomate driving with self-driving vehiclesAutomate generation of articles or other written work like press releasesAutomate generation of conversational media contentAutomate generation of reports including basic research materialAutomate image tagging to improve product discoveryAutomate key tasks to support human driverAutomate product testing and quality assuranceAutomate protection of privacy in mapping data generation processesAutomate review of contracts such as NDAsAutomate software coding, testing and production deploymentAutomate through a robo-advisor client portfolio investments and rebalancing recommendations based on defined investment strategiesBetter understand product usageCollate and evaluate site data for architectural planningCollate and visualise connected dataCollate data and evaluate potential architectural site remotelyCompose and conduct market researchConfirm animal identity through eye scansConstruct detailed map of farm characteristics based on aerial image captureCreate 3D models of 2D imagesCreate ersatz individual digital presence based on digital content captureCreate maps from satellite and other remote imageryCreate musicCreate new productsCreate tailored emailsCreate text based content optimised for customers and consumersCreate video and image based content optimised for customers and consumersCreate visual artDeliver appropriate information to user at relevant timesDeliver visual search capability (e.g. for apps dealing with specific product categories like wine or fashion)Deploy decoy assets to support activities such as network security managementDeploy robots to replace human staffDetect defects and quality issues during production using visual and other dataDetect fake biometric credentialsDetect manipulated or falsified mediaDetect potential medical events from wearable sensor data and signal emergency responseDetect suspicious nautical vessel activity indicating overfishing or smugglingDiagnose disease based on physical behaviourDiagnose emotional reaction to enhance customer experienceDiagnose injury like brain trauma from visual scansDiagnose known diseases from scans, images, biopsies, audio and other dataDiscover anomalies across fleet of vehicle sensor data to identify potential risksDiscover anomalies in data scanned from spaceDiscover new trends in content consumption patternsEnable gesture control user interfaceEnable image analysis or GCMS analysis in a high throughput mannerEnable self-learning option generation in CAD softwareEnhance doctors surgical skills with roboticsEnhance individual mobility through use of automated equipmentEnhance individual physical support during therapy and rehabilitationEnhance motor insurance by predicting driving behaviour through the use of language in Facebook postsEnhance product and service offeringEnhance search process for new molecular structuresExamine ground composition to reduce required volume of exploratory drilling for samplesForecast new product demandForecast product / service demand levelsGenerate cloned voicesGenerate research for news contentGenerate synthetic datasets for deep learningGenerate works of literary fictionIdentify and manage potentially fraudulent activityIdentify and navigate roads and obstructions in real time for autonomous drivingIdentify and validate a molecule to target with a drug compoundIdentify and validate a molecule to target with a drug compound for agricultural useIdentify candidates for trial recruitmentIdentify creature characteristics to assist in disease controlIdentify design problems in pre-production to reduce ramp-up time to maximum outputIdentify disease via biopsyIdentify existing drugs for improvementIdentify negative responses to drug trials by for example monitoring social networks for early problem indicatorsIdentify new therapeutic uses for existing drugsIdentify people through wallsIdentify physical properties of scanned imagesIdentify plant type through image analysisIdentify risk of surface visible disease via camera phoneIdentify security-related individual targets from range of data including sensors, camera feeds and suspect activityIdentify target patient subgroups that are underserved or underdiagnosed
R and D Case Studies
AI system predicts risk of diabetes with an 88% accuracy rate in testsARUP saves 790 engineering hours using machine learning to detect utility clash points planning a light rail system for AucklandAction Against AMD and Benevolent AI aim to find treatments for age-related macular degeneration (AMD) that causes blindness using machine learningAdidas learns from its consumers'' design creation to better anticipate future demand trends using machine learningAdobe Research team investigates current approaches in machine learning for automating data cleansing and finds them inadequateeAdobe is developing technology to detect manipulation in images using a deep neural networkAdore Me generates product insights by determining customer sentiment with a 92% accuracy based on natural language processing analysis of thousands of reviewsAidyia fully automates hedge fund trading using genetic evolutionary and other algorithms claiming a 2% returnAipoly app identifies objects and uses voice to describe them to visually impaired peopleAirbnb increases booking conversions by 5% using machine learning to match property hosts'' guest preferences with consumersAirbus used deep machine vision to detect clouds in satellites decreasing the error rate from 11% to 3%Android is planning to extend battery life in its mobile phones by implementing convolutional neural networks developed by DeepMindAnglia Ruskin University researchers develop mobile system which detects tuberculosis with 98.4% accuracyAnthem aims to predict the occurrence of allergies using machine learningApple iOS 10 creates thematic movies from user photos using facial recognition while remaining low latencyAravind Eye Hospital identifies eye complications arising from diabetes with a 97.5% accuracy using machine learningAstraZeneca plans to crack down on online sale of counterfeit drugs in China using machine learning and natural language processingAutodesk redesigned iconic Scandinavian design chair achieving 18% less volume; 90% decrease in max displacement; and 79% in von Mises stress with generative design modelAutonomous Healthcare detects different types of ventilator asynchrony in ICU patients with machine learningAviva offers up to 30% discounts on insurance premiums based on actual driving behaviour that is monitored and analysed through machine learningBBC is developing interactive fictional programs utilising the natural language generation capabilities of smart home assistants such as Alexa and Google HomeBERG is attempting to identify genetic predisposition to certain conditions using machine learning with promising Phase I study resultsBERG is developing targeted cancer drugs using machine learning with promising Phase I study resultsBMW will self-diagnose faults and issues limiting car performance and collect data from connected vehicles with machine learning analyticsBabylon Health claims 82% accuracy for video medical diagnosis based on machine learning and natural language processingBaidu builds automated cat shelter for strays using image recognitionBaidu researchers synthesise speech through neural voice cloning with limited data samplesBayer aims to spot drug-associated side effects earlier with the use of machine learning, RPA and natural language processingBeck''s Hybrids is predicting the highest-yielding corn seeds from more than 30,000 genetic possibilities using an AI powered modeling engineBeijing Tian Tan Hospital is testing the detection of type, location and severity of a stroke using machine learningBerkeley Lab releases reinforcement learning training platform for training autonomous vehicles on traffic regulationBiogen to design individualized treatment plans for newly diagnosed patients with providers using machine learningCambridge researchers develop a system to analyse cancer research papers to discover previously unexplored molecular biology linksCapitol Health improves accuracy of diagnosis from scans, X-rays etc using deep learningCardiogram detects atrial fibrillation with 97% accuracy surpassing FDA-cleared wearable ECG devices using the Apple Watch and machine learningCenters for Disease Control and Prevention reduce polio report generation time to 1 hour using machine learning to automate regional mapping of the diseaseCereproc generates synthetic speech from text using natural language processing and machine learningChampion Brewing uses machine learning to create what they consider the perfect IPA beer - the ML IPAChildren''s Hospital of Los Angeles predicts when to discharge patients from pediatric intensive care using deep recurrent neural networksCisco improves its online conferencing platform using accurate voice and chat assistantsCleo offers personalised support system for expecting parents which maps user preferences and helps them find matching providers and other services using machine learningCleveland Clinic and Microsoft identify at-risk patients in ICU to prevent the occurrence of cardiac failure with machine learning ensemblesClinicial researchers at Imperial College London and the University of Edinburgh develop machine learning based software that could speed up treatment of patients showing signs of stroke or dementiaColumbia Business School researchers determine that unusual language in news stories can forecast future market stress through natural language processingCornell University researchers increase processing efficiency 300x by developing Adaboost algorithm to automate detection of elephant rumblingsCoyote improves the accurate reporting of speed limits by 9% using machine learningCray''s CosmoFlow can now predict cosmological parameters with unprecedented accuracy with a deep learning 3D convolutional neural networkDadabots creates lo-fi black metal album using deep neural networksDana Farber Cancer Institute accelerates clinical trial recruitment by using machine learning for genome mapping to identify best candidatesDeep Sentinel identifies neighbourhood security threats using machine vision that can detect potential intruders and other eventsDeepMind achieves human specialist accuracy in diagnosing retina disease based on scans using machine learningDeepMind achieves superhuman performance with its Go-playing AI program using reinforcement learning and neural netsDeepMind develops a highly accurate machine learning method for predicting protein structuresDeputy introduces AI for automatic shift scheduling for its staffing management appDropbox''s in-house OCR system for document scanning outperforms commercial libraries by using neural networksDuke University is researching how to predict the onset of Parkinsons by analysing mouse usage with machine learning classifiersDuke University is researching how to predict the onset of neurological disorders such as Parkinsons by analysing Microsoft-Bing search logs using machine-learned classifiersElectronic Arts is developing an AI agent which can test for quality assurance during video game production by learning to play against humansEnel is reducing operational and capital expenses by predicting maintenance and improving asset performance using machine learningEnlicit classifies malignant tumours with 50% better accuracy than humans and 0 false-negatives with deep learningEnlitic augments radiologists to achieve 21% faster, 11% more sensitive and 9% more specific reading of fractures in X-rays with deep learningExpedia optimises its best fare search results using machine learningExxonMobil plans to automate hydrocarbon discovery by developing deepwater exploration robots in partnership with MITEyeo leverages machine learning and object detection to develop ad blocking technologyFANUC will offer advanced manufacturing capabilities by enhancing industrial robots with deep learningFacebook and CrowdAI researchers develop a machine learning method to identify geographic areas heavily affected by natural disastersFacebook create new location address schemes for developing areas decreasing travel times by 22% in testsFacebook improves fast, accurate translations for more languages using unsupervised machine learningFacebook improves user experience using ranking algorithm to optimise content based on user behaviourFacebook optimises experiments for server performance and ranking improvement using reinforcement learningFacebook provides technology able to turn 2D images into 3D modelsFacebook reduces time needed to support new queries to its internal reactive cache by using machine learning from weeks to minutesFast.AI more accurately classifies text while requiring less training data due to a new natural language processing techniqueFazenda futuro creates new vegan burger using AIFormula 1 aims at achieving smarter project management and streamlining the R&D process with the use of machine learningFoster Care Tech (FCT) finds better matching foster care families for children using machine learningFraunhofer Heinrich Hertz Institute and University Medical Center Schleswig-Holstein, a German University Hospital, has developed an algorithm to detect the probability of getting heart attack from ECG and EEG, matching accuracies achieved by cardiologistsGemological Institute of America predicts with 90% accuracy a diamond''s grade from camera images using neural networks in partnership with IBM ResearchGlaxoSmithKline (GSK) plans to accelerate drug discovery as well as new applications for existing drugs using machine learningGlaxoSmithKline (GSK) plans to reduce drug discovery to trial time from six years to 12 months using machine learning models to predict molecular behaviourGoldcorp plans to increase accuracy of identifying potential mining prospecting areas using IBM Watson and machine learning to analyse drilling and geological dataGoogle Brain researchers develops a method to avoid machine learning model discrimination against legally protected attributesGoogle DeepMind plans to build complete 3D models from a few pictures using generative query networkGoogle Health improves predictions of hospital patient medical outcomes by using deep neural networks trained on 46 billion data pointsGoogle Lookout audibly describes environments in real-time for the visually impairedGoogle Research detects diabetic eye disease as well as leading ophthalmologists with machine learningGoogle Translate reduced translation errors by more than 55% in its translation services using Recursive Neural NetworksGoogle claims it can prioritise an organisation''s files based on activity and calendar events using machine learningGoogle launches two apps for the hearing impaired on its Android phoneGoogle trials Duplex as a natural conversation agent and assistant to automate scheduling activitiesGoogle''s Gmail automated composition feature has led to 10% of English language replies being machine written and human approved, speeding up email compositionGoogle''s Verily prioritizes patients by diagnosing retinopathy more accurately than ophthalmologists using deep neural networksGoogle''s cocktail party effect uniquely identifies and focuses on an individual''s voice while watching a video of people talking in a crowded roomGruppo L’Espresso creates 2.5x more videos than it used to, with automatic video creation platform which uses social media trends to decide video contentHarvard university seismologists developed a deep learning algorithm to predict the location of aftershocks with an AUC of .849Healx''s scientist predicts effectiveness of combinations of antibiotics using machine learningHonda equips its NeuV concept vehicle with an emotion engine to facilitate automated drivingHoobox Robotics enables wheelchair users to control the motorized machines through their facial expressionsHuashan Hospital develops a robotics based radiosurgery procedure to treat inoperable intracranial tumour sizes achieving 55% reduction on averageHyundai Motor will offer voice-enabled intelligent personal agent to predict driver needs and facilitate vehicle functions in new models