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Analyse clinical outcomes to adapt clinical trial designAnalyse large text datasets to uncover trends from documentary evidenceAssess environmental health status and bio-diversity of natural sitesAssist developers by helping them to identify code errors in real-timeAutomate aircraft pilotingAutomate categorisation of documents for discovery and disclosureAutomate cybersecurity systemsAutomate data cleansing and validationAutomate driving with self-driving vehiclesAutomate protection of privacy in mapping data generation processesAutomate software coding, testing and production deploymentCollate data and evaluate potential architectural site remotelyCompose and conduct market researchConstruct detailed map of farm characteristics based on aerial image captureCreate maps from satellite and other remote imageryCreate new productsDeploy robots to replace human staffDetect defects and quality issues during production using visual and other dataDetect fake biometric credentialsDetect plagiarism in documentsDetect potentially dangerous electrical current surgesDetect potentially fraudulent or nefarious usersDiagnose 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 in data scanned from spaceEnable self-learning option generation in CAD softwareEnhance individual mobility through use of automated equipmentEnhance product and service offeringEnhance search process for new molecular structuresEvaluate school or college workForecast new product demandForecast product / service demand levelsGenerate synthetic datasets for deep learningGenerate works of literary fictionIdentify and validate a molecule to target with a drug compoundIdentify creature characteristics to assist in disease controlIdentify design problems in pre-production to reduce ramp-up time to maximum outputIdentify people through wallsIdentify plant type through image analysisIdentify risk of surface visible disease via camera phoneIdentify with satellite imagery areas of need for targeted supportImprove image (and video) qualityImprove weather forecasting accuracyLeverage molecule database with metabolic stability data to elucidate new stable structuresManage cybersecurity threats and regulatory reportingMimic creature or animal behaviour with drones or roboticsMininise need for sensors through generating likely input data from other sourcesMonitor animal populationsMonitor student''s attentiveness in class with facial recognition technologyOptimise crop or livestock yield management based on field sensorsOptimise driver or pilot choices and path routing to reduce length, cost or environmental impact of tripOptimise experimental efficiency through refining research process and operationsOptimise release dates and location targeting for film launch rolloutsOptimise retail network based on demand modellingPersonalise learningPersonalise public services to target individual citizens depending on situationPilot and resupply drone independentlyPlay perfect information games like chess to championship levelsPollinate plantsPredict appropriate data labelling to support data analytics workPredict asset price movements based on greater quantities of data to inform trading strategiesPredict case including litigation outcomesPredict cybersecurity risksPredict hazardous locations and establishments based on open source dataPredict individual hospital admission rates using historical and real-time dataPredict individualised educational and career paths to advise on life decisionsPredict likelihood of traffic accidents or queues and optimise traffic system to reduce the riskPredict maintenance on network assetsPredict optimal location and specification in construction for power generation equipmentPredict optimal medication type and dosagePredict outcomes from fewer or less diverse experiments to reduce research costs and time to marketPredict patient mortality to provide appropriate supportPredict personalised health outcomes to recommend individual treatment approachPredict population health patternsPredict potential adverse effects when drugs taken are combinedPredict risk from natural disasters such as wildfiresPredict risk of animal health issues through analysing audio patternsPredict risk of condition developing at an early stagePredict risk of long term diagnosis of disease such as heart attacksPredict testing outcomesProtect individual''s privacy from AI driven image recognitionRe-examine data from historic research to discover new applicationsReal time high volume data managementRecognise unstructured text, e.g. handwriting, in documents to extract information to streamline processes like account creation, loan and insurance origination and documentationRecommend individualised training activityRecommend recipes from identifying food types in imagesReduce data training set requirementsReduce side effects by collating patient data and optimising processesSmart home devices manage consumer energy expenditureStress test biometric seurity systemsTrack and predict disease vector in general populationTrack and predict risk of likely criminal activity by individuals
Education Case Studies
Anglia Ruskin University researchers develop mobile system which detects tuberculosis with 98.4% accuracyBerkeley Lab releases reinforcement learning training platform for training autonomous vehicles on traffic regulationBoston Public Schools''s plan to reconfigure start times for high school students using an optimisation algorithm backfiresCambridge researchers develop a system to analyse cancer research papers to discover previously unexplored molecular biology linksChina''s Hangzhou No. 11 Middle School monitors students through facial recognition camerasChina''s Ministry of Education grades students''s essays in one in four Chinese schools using deep learningClarivate Analytics aims to improve article peer review efficiency by adding natural language processing to its ScholarOne platformClinicial 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 rumblingsCoursera launches employee learning and skill gap assessment tool for businesses using machine learningCray''s CosmoFlow can now predict cosmological parameters with unprecedented accuracy with a deep learning 3D convolutional neural networkDeepMind develops a highly accurate machine learning method for predicting protein structuresDreambox offers students larger and faster gains in achievement through AI adaptive learning according to a Harvard reportGeorgia State University improved on-time enrolment by 3.3 percentage points using a machine learning chatbot to guide students during the processGuilford College improves Wi-Fi and Bluetooth wireless services using machine learningHarvard university seismologists developed a deep learning algorithm to predict the location of aftershocks with an AUC of .849Illinois Institutes''s Chicago-Kent College of Law researchers predict outcomes of US Supreme Court decisions with 70% accuracy using machine learningImperial College London researchers aim at designing a device that will improve dialysis procedure for patients using machine learningMIT AI Lab predicts Alzheimer''s disease before close family members with advanced motion detection and analysis with machine learningMIT Department of Mechanical Engineering developed smart power outlets that distinguish dangerous electrical from benign spikes with 99.95% accuracy with machine learningMIT Researchers design tool to optimise product designs according to optimal efficiencies and performance objectivesMIT researchers aim to make cancer treatments less toxic with machine learningMIT researchers develop system that can identify individuals with 96% accuracy for smart homes improvementMIT scientists develop system that crowdsources data to speed up drug discovery using neural networksMcGill University predicts signs of dementia two years before its onset with 84% accuracy with supervised learningMonta Vista High School students build a model to predict wildfires using Google TensorflowNYU researchers detected lymphedema with 93.8% accuracy using neural networksNational University of Singapore researchers use deep learning to outperform current methods in detecting glaucoma progression in patientsNewcastle University researchers automate identification of grip type needed to pick up objects by prosthetic limb with 88% successNvidia restores images by only looking at corrupted examples using machine learningOregon Health and Science University trained deep learning models on used machine learning to diagnose the leading childhood blindness disease with 91% accuracy bettering the 82% of opthalmologistsParticle physicists carry out complex analyses on the 1 million gigabytes of data produced per second during experiments using machine learning.Pearson is automating adaptive learning and intelligent tutoring with the us of AIPeptone accelerates protein research for drug discovery with a machine learning derived databaseResearchers aim to identify fibromyalgia patients from fMRI images using machine learningResearchers at Ben-Gurion University of the Negev are developing a system to monitor cybersecurity threats for medical equipmentResearchers at Columbia University automate the process of sex-sorting tsetse flies with machine learningResearchers at EPFL predict chemical shifts of molecular solids and their polymorphs to within DFT accuracy with machine learningResearchers at Harvard University and the University of Tübingen track animals’ movements in the lab using deep learningResearchers at IBM Research Australia, the University of Toronto, and University of Melbourne build model to generate sonnets using deep learningResearchers at Los Alamos National Laboratory identified a sound pattern that indicates slippage and fault failure using machine learningResearchers at MIT have developed a new deep neural network algorithm that can identify people by detecting movements across walls using Wifi signals with ~83% accuracyResearchers at Macau University of Science and Technology develop a new model for disease classification in cases of limited labelled data with ~90% accuracy by combining logistic regression and semi-supervised learningResearchers at Roma Tre to analyse and transcribe historical documents from the Vatican Secret Archives using deep learningResearchers at Stanford University develop an approach for modeling polypharmacy side effects with graph convolutional networks outperforming baselines by up to 69%Researchers at Stanford and Columbia predict restaurant affinity among lunch-goers in the Bay area using machine learningResearchers at Tomsk Polytechnic University Russia to launch a fleet of robot-bee prototypes suitable for greenhousesResearchers at UC Berkeley find 72 previously undetected bursts in data gathered on FRB 121102 using machine learningResearchers at UC Merced train algorithm to create ground-level images from satellite pictures outperforming conventional interpolation method used for classifying landResearchers at University of Washington explore diagnosis of early onset of pancreatic cancer by identifying increased bilirubin levels in sclera from selfies with 89% accuracyResearchers at the George Institute for Global Health improve emergency room admittance predictive models using machine learningResearchers at the University of Bristol detect trends in historical data using AIResearchers at the University of Glasgow develop platform to locate new molecules using machine learningResearchers detect restaurants with elevated risk of foodborne illness in real time using machine learningResearchers develop a model to provide individualised and clinically interpretable treatment decisions to improve sepsis patients outcomesResearchers from Boston University improve automatic parameter selection for synthetic data creationResearchers from MIT train AI to predict recipe ingredients by looking at a photo of food using machine vision and deep learningResearchers from Northwestern University achieved 88% accuracy predicting Amazon bestsellers with machine learningResearchers from Stanford University develop a predictive model to identify knee injuries in MRI scans and avoid misdiagnosisResearchers from Tampere University apply machine learning to Instagram posts to predict the spread of influenza in FinlandResearchers from Warsaw University of Technology identify irises as live or dead with a mean accuracy of 98.94% using convolutional neural networksResearchers from the University of California San Diego trained gliders to autonomously navigate atmospheric thermals with reinforcement learningResearchers from the University of Lincoln have built a learning computer system to early detect potentially harmful flaws in production and packaging of potatoesResearchers from the University of Technology Sydney aim at ensure livestock are in peak condition leading up to sale by analysing cattle through AIResearchers identified and counted wildlife with 96.6% accuracy using image recognition machine learningResearchers improve film box office success prediction using machine learning transduction algorithmsResearchers in South Korea demonstrate accuracy of 98.8% in diagnosing Parkinson''s disease using convoluted neural networksRice University researchers are developing an application that writes Java API code snippets using deep learningSanta Clara University improves pedestrian safety by automatically detecting approaching people and triggering a crosswalk signalScientists aim to eliminate animal testing by automating the proccess based on existing knowledge about chemical interactions using machine learningScientists at the Francis Crick Institute outperform medical models at predicting risk of death in patients with heart disease using machine learningScientists automate detection of polyps during colonoscopy using deep learningScientists develop an artificial neural network that can identify handwritten numbers and molecular handwritingScientists produce the largest photogrammetric map of one of the best studied gas hydrate deposits with the use of autonomous underwater vehicles and unsupervised learningStanford University Medical uses deep convolutional neural networks to predict skin cancer as well as dermatologistsStanford University Medical uses machine learning to improve palliative care by predicting end-of-life within the next year with 90% accuracyStanford University Parker Institute for Cancer Immunotherapy predict childhood leukemia patients relapse with 85% accuracy using machine learningStanford University researchers plan to improve palliative care by predicting mortality of patient with deep learningStanford University scientists identify 50% more solar installations than any previous survey with the use of deep learningStanford University trained deep neural networks to predict skin carcinomas from images with the same accuracy as determatologistsStanford University’s Department of Earth System Science identified the most poverty-stricken regions in parts of Africa using machine analysis of satellite imageryStanford researchers reduce heavy metal dose in MRIs using convolutional neural networksSun Yat-sen University researchers predict high myopia for young adults at clinically acceptable levels 8 years in advanceThe New York State Education Department blocks Lockport District''s plan to use facial recognition at state schoolsThe University of Alberta aims to ensure the safety and independence of seniors using deep learning and machine visionThe University of Alberta and IBM can predict schizophrenia with 74% accuracy by looking at images of the brain''s blood flowTransdev North America is ordered to stop self-driving school bus pilot project due to the participation of childrenUCL researchers optimise generated training set data for use in machine learning to decrease data requirements and improve model robustnessUS and Canada schools achieve a 70% decrease in students vaping at bathrooms with the use of machine learningUnanimous AI achieves 22% more accurate pneumonia diagnoses with the use of "swarm intelligence"United World College of South East Asia is providing security to its digital education by tackling cyber threats using machine learningUniversidad de la Republica de Uruguay researchers successfully identify varying types of bat species using machine learning to evaluate audio signalsUniversity of Alberta researchers create a program which cannot lose at checkers using AI planning algorithmsUniversity of California Los Angeles researchers maintain patient drug levels within target range using personally calibrated treatmentUniversity of California San Francisco researchers use principal component analysis to compare medical treatment outcomes across different studiesUniversity of Essex researchers compare machine learning models for improving weather condition classification of imagesUniversity of Glasgow researchers predict virus reservoir hosts with 83.5% accuracy and provide hypotheses about unknown viral vectorsUniversity of Kansas Medical Center identify drug interactions causing adverse effects in patients using a new method increasing accuracy by 10%University of Maryland researchers identify 10% of 150K plant species worldwide as being threatened by extinction