#anomalydetection

[rovermcfly]

🐠

🐠 author who inspires you

I think this question is asking for someone whose path as a writer is a path I would like to take and I don't think I really have anything like that. I write for fun, I've never seriously thought about publishing. in terms of writing style, I can usually find something that inspires me to wanna write in most things I read, I can't say someone specifically inspires my style. most authors are inspirational just by virtue of being committed to their art and brave enough to share it.

as I'm getting more into scripts, william goldman is definitely someone I find inspiring and I wanna read his books on his script writing soon.

#ask #anomalydetection #❤️❤️

[scienza-magia]

La velocissima anomaly detection quantistica

Il computer quantistico batte ancora quello tradizionale. In Italia, per la prima volta su un tema complesso. Per la prima volta un computer quantistico ha superato un computer tradizionale nell'analisi di un problema reale come la ricerca di attacchi informatici nel traffico internet. Gli annunci fatti finora sulla supremazia quantistica, arrivati dalla Cina, riguardavano infatti dimostrazioni su piccola scala. Il risultato, che segna un nuovo passo in avanti verso la supremazia quantistica, è pubblicato sulla rivista Nature Communication Physics, si deve alla ricerca coordinata dall'Università Statale di Milano, in collaborazione con il Politecnico di Milano.

I ricercatori hanno dimostrato che utilizzando l'intelligenza artificiale su un computer quantistico si rilevano gli attacchi informatici più velocemente che con i computer tradizionali e nell'esperimento hanno utilizzato il computer canadese D-Wave Advantage da 5.000 bit quantistici (qubit) su una banca dati da 3 milioni di pacchetti di traffico internet. "Due anni fa avevamo già dimostrato un nuovo modo di programmare l'algoritmo di intelligenza artificiale quantistica sviluppato in origine dalla Nasa, chiamato macchina di Boltzmann e ispirato a quello adottato, tra gli altri, da Netflix per raccomandare i film", osserva il coordinatore della ricerca, il fisico della materia condensata Enrico Prati, dell'Università Statale di Milano. "In quel caso per - aggiunge - i risultati erano limitati a piccoli database dimostrativi, anche per le limitazioni dei computer quantistici di allora. Lo sviluppo dell'hardware è così rapido che oggi siamo in grado di trattare database realistici come quelli tipici della cybersecurity. Quello che osserviamo - dice ancora Prati - è che vi sono condizioni per le quali impiegare il computer quantistico è più rapido, anche fino a 64 volte, che non a usare un computer tradizionale". L'originalità della ricerca italiana, aggiunge il ricercatore, è nel fatto che "il metodo di apprendimento è stato applicato a database reali di traffico internet, quelli solitamente usati per addestrare i sistemi di protezione dei nostri dati da parte delle grandi aziende, come Amazon o Microsoft, e dalle istituzioni governative". I ricercatori, aggiunge, hanno addestrato una rete di neuroni quantistici e in seguito hanno esaminato ogni pacchetto di dati. "Questo tipo di analisi informatica si chiama anomaly detection perché è in grado di individuare, tra milioni di pacchetti, quelli anomali e quindi da verificare perché potenzialmente rivelatori di un attacco", osserva Lorenzo Moro, il ricercatore del Politecnico di Milano che ha programmato l'algoritmo e oggi fondatore della prima startup italiana di software quantistico QBrain. Una delle mosse vincenti a favore del computer quantistico è stata la possibilità di ottenere più copie alla volta del programma sullo stesso processore quantistico, riducendo così il tempo di esecuzione. "Abbiamo trovato un modo - dice ancora Moro - per sfruttare con maggiore efficienza l'hardware quantistico che era già disponibile". Read the full article

#anomalydetection #attacchiinformatici #computerquantistico #computertradizionale #D-WaveAdvantage #intelligenzaartificiale #macchinadiBoltzmann #QBrain #qubit #trafficoInternet

[prnews-press]

Introducing Legalese Decoder’s Groundbreaking “Contract Analyzer For Risk, Fairness and Anomaly” for Professional and Business Plan Users

Vancouver, Canada – Legalese Decoder, a leading innovator in legal technology solutions, is thrilled to announce the launch of its revolutionary “Contract Analyzer For Risk, Fairness and Anomaly” feature, exclusively available to users of its Professional and Business plans. This cutting-edge tool represents a significant advancement in contract analysis, empowering legal professionals and businesses to navigate complex agreements with unparalleled precision and insight. The “Contract Analyzer For Risk, Fairness and Anomaly” is a game-changing addition to Legalese Decoder’s suite of intelligent contract analysis tools. Built on state-of-the-art artificial intelligence and natural language processing technologies, this feature goes beyond conventional contract review processes by offering an in-depth assessment of potential risks, fairness issues, and anomalies present within legal documents. Key highlights of the “Contract Analyzer For Risk, Fairness and Anomaly” include: Risk Assessment: The advanced AI algorithm meticulously scans each contract, identifying and evaluating potential risks that might impact parties involved. By highlighting these risks, users can make informed decisions and take proactive steps to mitigate potential legal challenges. Fairness Evaluation: The fairness analysis component assesses contractual clauses to ensure equity and fairness among parties. Legalese Decoder’s proprietary technology detects any clauses that might disproportionately favor one party, promoting transparency and balance in contractual relationships. Anomaly Detection: Uncover hidden irregularities and deviations from standard practices within contracts through the anomaly detection feature. This helps users identify potential errors or non-compliance issues that could have otherwise gone unnoticed. “Our commitment to innovation and addressing the evolving needs of legal professionals and businesses has led us to develop the ‘Contract Analyzer For Risk, Fairness and Anomaly’,” said William Tsui, founder at Legalese Decoder. “We understand the challenges that come with contract analysis, and this new feature is designed to empower our users with a comprehensive understanding of their agreements, enabling them to make strategic decisions with confidence.” The “Contract Analyzer For Risk, Fairness and Anomaly” is exclusively available to users subscribed to Legalese Decoder’s Professional and Business plans, reflecting the company’s dedication to providing exceptional value to its valued customers. This tool further solidifies Legalese Decoder’s position as a leader in the legal technology landscape, delivering transformative solutions that drive efficiency, accuracy, and success. For more information about Legalese Decoder and its groundbreaking “Contract Analyzer For Risk, Fairness and Anomaly,” please visit https://legalesedecoder.com/. About Legalese Decoder: Legalese Decoder is a trailblazing provider of AI-powered legal technology solutions that streamline contract analysis processes for legal professionals and businesses. Leveraging cutting-edge artificial intelligence and natural language processing capabilities, Legalese Decoder empowers users to extract actionable insights, mitigate risks, and optimize contract management strategies. Read the full article

#Accuracy #ActionableInsights #AIpowered #AnomalyDetection #BusinessPlans #ContractAnalysis #ContractAnalyzer #ContractManagement #Efficiency #Equitable #FairnessEvaluation #InnovativeSolutions #LegalChallenges #LegalProfessionals #LegalTechnology #MitigateRisks #NaturalLanguageProcessing #RiskAssessment #Transformative #Transparency

[avidbeam01]

Video Processing

AvidBeam Technologies is a leading video AI analytics provider that enables businesses to avail computer vision for enhanced video processing and surveillance.

Video Processing

#avidbeamtechnologies #videoai #videoaianalytics #videoanalysis #videoanalytics #videoforensicanalysis #videoprocessing #videoanalyticscompany #realtimevideoanalytics #videoanalyticsapplication #surveillance #deeplearning #computervision #videosearch #facerecognition #arabiclicenseplaterecognition #licenseplaterecognition #behavioranalysis #anomalydetection

[incorporationai]

Outlier/ Anomaly Detection || Incorporation.AI

🤖 Are you looking to better understand your customer's behavior and interests? Look no further than Outlier/Anomaly Detection with Incorporation.AI! 🚀

Outlier/Anomaly Detection is the process of separating customers into groups based on their shared behavior or other attributes such as gender, taste, shopping patterns, and interests. By analyzing these patterns and identifying outliers, you can better understand your customers and make informed business decisions.

With the power of Incorporation.AI, Outlier/Anomaly Detection becomes even more effective. Machine learning algorithms can analyze vast amounts of data to identify patterns and anomalies that might otherwise be missed. This allows businesses to gain a deeper understanding of their customers and tailor their marketing strategies accordingly.

By grouping customers into different segments based on their shared behaviors and interests, businesses can create targeted marketing campaigns that are more likely to resonate with their audience. This can lead to increased customer engagement, higher conversion rates, and ultimately, increased revenue.

So if you want to better understand your customers and drive business success, consider incorporating Outlier/Anomaly Detection with Incorporation.AI into your business strategy. 🙌

#Incorporation.AI #OutlierDetection #AnomalyDetection #CustomerBehavior #MarketingStrategy #AI

[reportwire]

Kaizen Analytix Launches New Product, the KaizenInsights Anomaly Detection Engine

Kaizen Analytix Launches New Product, the KaizenInsights Anomaly Detection Engine

Press Release – Jun 7, 2022 09:00 EDT ATLANTA, June 7, 2022 (Newswire.com) – Kaizen Analytix LLC, a leading provider of data, analytics, and technology solutions, today introduced its new Anomaly Detection Engine that systematically searches through all segments of a company’s data to quickly identify outliers which lead to fraud, customer churn, revenue leakage and other issues that impact…

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#analytics #anomalies #anomalydetection #insights #technology

[catabasis]

i was tagged by @flowergrenades to post some characters that are 'me-coded'. thanks!

tagging: @dracfields @coop-of-coffee @jeanlucpiquark @hawkeyeqierce @anomalydetection @markoliphant @merrilark (no pressure!)

#look at this mess #i never know what characters to choose because most characters i can think of are characters i love/want to be like #but these are a few i share traits with #most of them are just depressed like me #tag game

[somehowmags]

music bingo!! thank you @honeyblockm for the tag!!

feel free to do this if you want to and ill tag @anomalydetection @etherealumbrella @witchlightsands @felinedetached @time-is-restored and @ranboo5!

#personal #no pressure to anyone tagged!

[mangobanana7]

ArcFace: Additive Angular Margin Loss for Deep Face Recognition

Prompting for a conversation | Promptagator | RoSPR

Language Models as Knowledge Bases? (EMNLP 2019)

AMuLaP(Automatic Multi-Label Prompting) | PERFECT(Prompt-free Fine-Tuning)

 A Multi-Horizon Quantile Recurrent Forecaster

CSI: novelty detection via contrastive learning on distributionally shifted instances

Multi-Scale Patch-Based Representation Learning for Image AD and Segmentation

GPT Understands, Too

Towards better understanding of self supervised representations

Deep anomaly detection using geometric transformations

FuSAGNet - Learning Sparse Latent Graph Representations for AnomalyDetection

Slot Self-Attentive Dialogue State Tracking

A Simple Unified Framework for Detecting OOD Samples and Adversarial Attacks

Sub-Image Anomaly Detection with Deep Pyramid Correspondences

Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding

CvT: Introducing Convolutions to Vision Transformers

[yourexpo2015]

Interesting paper: "Navigating the Metric Maze: A Taxonomy of Evaluation Metrics for Anomaly Detection in Time Series" on #metrics for #machineLearning based #anomalyDetection in #timeseries. By M. Ruocco @SINTEF & #ml4its https://t.co/ieC4qtCvqk

Interesting paper: "Navigating the Metric Maze: A Taxonomy of Evaluation Metrics for Anomaly Detection in Time Series" on #metrics for #machineLearning based #anomalyDetection in #timeseries. By M. Ruocco @SINTEF & #ml4its https://t.co/ieC4qtCvqk

— Marco Brambilla (@MarcoBrambi) Mar 10, 2023

from Twitter https://twitter.com/MarcoBrambi

#SEO #PPC #PPC Marketing

[aztecaread]

KirkDBorne https://twitter.com/KirkDBorne/status/1558274199017254912 https://t.co/989CMBVF5R August 13, 2022 at 11:08AM

#IoT #AnomalyDetection using #Python-based Deep Learning. ———— #IIoT #IoTPL #AI #BigData #MachineLearning #DataScience #DeepLearning #TimeSeries #Edge #EdgeAI #EdgeComputing #Observability #DataScientists #Coding #100DaysOfCode —— 👉See the book here: https://t.co/989CMBVF5R https://t.co/g2uUqfpMt7

— Kirk Borne (@KirkDBorne) Aug 13, 2022

#KirkDBorne

[rovermcfly]

🦋

🦋 tell us about your current wip

[explodes]

I mean. I MEAN @themoderngomorrah is literally my current wip. since I've said p everything there is to say about like, why I'm writing it and what it is and you can literally read the wip, I think I never really addressed why in gods name I'm writing it in script form with zero formal scriptwriting training.

that decision was made on a whim when @all-chickens-are-trans convinced me to talk about this fake movie enough that I felt I had to write stuff down to not lose the ideas and I sat down and went "oh, since it's a movie I should write a script". I had also shortly before read the Thunderheart script so my interest in the format was at its peak.

I'm also gonna tell an anecdote I always enjoy telling: when I was between 10 and 12 I taught myself how to write movie scripts by literally just downloading and looking at them and then wrote a scene-by-scene retelling of the fox and the hound that was a gritty human au set in the 80s (starring morten harket of a-ha as todd and sadly I don't remember who else I cast). it was like a proto-modern gomorrah, because it literally was a script for a movie that would have been made in the past and the themes were very similar. just like. an 11-year olds concept of those themes lmao. It makes me happy that so many years later, I'm doing the same thing that kid me discovered they enjoy

anyway read the modern gomorrah to make kid me happy ig? or current me. whomever you care more about

#JOKE you don't *have* to read it to make me happy #ask #anomalydetection #thank you for playing ❤️❤️ #the modern gomorrah

[deftboxsolutions]

Benefits of using Anomaly Detection: 1. Automated KPI analysis 2. Prevention of security breaches and threats 3. Discovery of hidden performance opportunities 5. Faster results We at DeftBOX Solutions will provide the machine learning services. For more info: https://bit.ly/3bOFcHq Please share your requirements on [email protected] Feel free to contact us at [phone] #anomalydetection #anomalydetectionservices #benefitsofanomalydetection #machinelearningservices #machinelearning #machinelearningsolutions #ai #deftboxsolutions https://www.instagram.com/p/CPPqLanFDLA/?utm_medium=tumblr

#anomalydetection #anomalydetectionservices #benefitsofanomalydetection #machinelearningservices #machinelearning #machinelearningsolutions #ai #deftboxsolutions

[johannagreenswe]

What can go wrong with GANs? Afroot Ebadat, Sr. Data Scientist at Analytics & AI, @swedbanksverige #minimax #generativeadversarialnetworks #disruptsynergies #anomalydetection (at Swedbank) https://www.instagram.com/p/B8LdHTUpG4b/?igshid=15hz0eov6dsnk

#minimax #generativeadversarialnetworks #disruptsynergies #anomalydetection

[avidbeam01]

Video Forensic Analysis

AvidHawk, AvidBeam Technologies’ video forensic analysis tool, uses computer vision and deep-learning algorithms to analyze video data for anomaly detection.

Video Forensic Analysis

#avidbeamtechnologies #videoai #videoaianalytics #videoanalysis #videoanalytics #videoforensicanalysis #videoprocessing #videoanalyticscompany #realtimevideoanalytics #videoanalyticsapplication #surveillance #deeplearning #computervision #videosearch #facerecognition #arabiclicenseplaterecognition #licenseplaterecognition #behavioranalysis #anomalydetection

[ultraemmathompson]

StreamAnalytix is a leading real-time anomaly detection platform. It is a specialized platform to rapidly build, run and continually update anomaly detection models using a visual UI and machine learning capabilities. It leverages open source engines like Apache Spark to create analytics applications at big data scale.

#anomalydetection #realtimeanomalydetection #streamingdata