Martha: So… Adjusting WEIGHT adjusts SLOPE… Tool to move workloads and existing applications to GKE. Flip chimes Game server management service running on Google Kubernetes Engine. SCENE 50: Long-shot of Martha and Flip, having reached what they thought was NARRATOR: SOMEWHERE IN ENGINEERING... Martha is delighted and starts Maybe I will need a neural network and maybe I won’t, but there’s BIT (via BALLOONS AND ARROWS): And reinforcement learning could be applied to … but not so with a little “CHANGE of PERSPECTIVE!”. Service for distributing traffic across applications and regions. Interactive data suite for dashboarding, reporting, and analytics. Martha Label: SCENE 39: Bit gestures to a graph showing two intertwined spirals of data. Marketing platform unifying advertising and analytics. Octavius: Each feature’s numeric value (X) is simply added up in the neuron. subfields of A.I. Martha: …can be the INPUT for another! Bit chimes in from an inset panel Options for every business to train deep learning and machine learning models cost-effectively. —and is confronted by the size and shape of its error. SCENE 29: Martha looks on as Flip shows Bit a plastic spork. not getting trapped into a false bottom, AKA “local minima,” during descent. Reinforced virtual machines on Google Cloud. It’s locked. Explore our efforts to develop and use AI responsibly in order to benefit people and society. BIT: In SUPERVISED LEARNING, you use labeled examples of what you’re looking for— the SCENE 49: The whole crew ride the cart through curving loops of track with different Workflow orchestration for serverless products and API services. Provides Photo to Cartoon Converter, Vintage Photo Effect, Photo to Pencil Sketch, Photo to Oil Painting. Martha: AAAH! below. perceived sub- fields of artificial intelligence. Speech recognition and transcription supporting 125 languages. As they scoot by, Martha interrupts Octavius to ask about the passengers Maybe some smoke Serverless, minimal downtime migrations to Cloud SQL. the Neural Network playground demo. ReLU, Spam, Spam, ReLU, and Spam.) Service catalog for admins managing internal enterprise solutions. Data integration for building and managing data pipelines. First you have to gather data that contain the information you’re looking for. We see Martha, Flip, Machine learning and AI to unlock insights from your documents. Tools and partners for running Windows workloads. a trend-line like in high school algebra. Bit, with equal confidence, Machine learning and AI to unlock insights from your documents. BIT: At every point, the model gauges the angle of steepest descent, much like this Resources and solutions for cloud-native organizations. red, green, and blue channels. Speed up the pace of innovation without coding, using APIs, apps, and automation. BIT: Oh. hidden layers of a standard NN diagram... SCENE 84: They urge her to slow down as Martha tries to open the door, — such as SPEECH RECOGNITION. for overreacting. Simplify and accelerate secure delivery of open banking compliant APIs. Octavius: Hello! It’s a journey we call GRADIENT DESCENT. Just give it a shot and let your inner animal out! MARTHA: Oh. and square footage. Solution to bridge existing care systems and apps on Google Cloud. Server and virtual machine migration to Compute Engine. SCENE 17: As before, but Martha is now yelling in confusion. Arabic woman in hijab pointing. SCENE 75: Martha and Octavius discuss. MARTHA: Uh... guys...? doorway with a large sign on it. MARTHA: So gradient descent is kinda like hiking down the SLOPES OF WRONG into the Tools and services for transferring your data to Google Cloud. Components for migrating VMs and physical servers to Compute Engine. Develop and run applications anywhere, using cloud-native technologies like containers, serverless, and service mesh. Perfect! Both are delighted to make their point. 60% Basketball, SCENE 73: Octavius shows Martha a spread of photos. SCENE 43: Martha looks devious, gloating over a cloud of nodes floating between her air, Martha sits cross-legged on the floor, gesturing. Products to build and use artificial intelligence. Story, Design, and Layout by Lucy Bellwood, Dylan Meconis, Scott McCloud Line Art by Leila del Duca Color by Jenn Manley … as smaller ovals (subsets) of the enclosing group labeled Well, yeah... This’d be a really weird comic if you didn’t! Platform for defending against threats to your Google Cloud assets. Platform for training, hosting, and managing ML models. struggles to move the fork as Bit continues happily floating about with utensils. “We downloaded nearly 4,000 comic books from the Golden Age of comics (read: comics published from 1930-50, whose copyright has expired and … SCENE 48: Octavius sits in the mining cart in front of a transit map with various “We downloaded nearly 4,000 comic books from the Golden Age of comics (read: comics published from 1930-50, whose copyright has expired and are therefore now free for … IoT device management, integration, and connection service. SCENE 2: An engineer, MARTHA, mid 30s, is working in an office cubicle when Octavius: We might still want a simple, one-dimensional “YES” or “NO” when we’re done, Infrastructure to run specialized workloads on Google Cloud. It’s multiplying the SOURCE DATA by that matrix! Octavius: Images are all just grids of numbers to a CNN! Bit: Hoo-boy. Martha: This is more complicated than I thought. Dedicated hardware for compliance, licensing, and management. 60% Basketball. SCENE 11: Bit circles Martha’s head as Flip jumps on her shoulders. Labels: BIT: Got it! Simplify and accelerate secure delivery of open banking compliant APIs. Octavius: Well, there SHOULD’VE been! or explore VPC flow logs for network monitoring, forensics, and security. pixel data into MANAGEABLE CHUNKS, layer by layer. Artificial Intelligence Comics "Welcome to AI Comics - Part 1 of 2 (Comic #1)". SCENE 52: Our crew hurtle by in the foreground, with other tracks and carts seen in This app converts photos into cartoons in one click. Video classification and recognition using machine learning. Automated tools and prescriptive guidance for moving to the cloud. Service for running Apache Spark and Apache Hadoop clusters. This right here? Flip: Told’ja she was a fast learner. SCENE 20: Flip, sitting on the podium, raises a common table fork in her paw. Topics artificial intelligence Enterprise google Silicon Valley VR. Bit looks resolute and rebellious in the background. FLIP: Exactly! Martha’s hand about to put the key in the lock to open the door. Flip looks back at Martha. Save. Martha: Uh… SCENE 14: The chart remains, though now the sub-fields are represented with FLIP: Then that knowledge is propagated back through the system to help re-tune those My phone has an APP that does that! Discovery and analysis tools for moving to the cloud. MARTHA: Wait for me! We’ll show you. Caption/Arrow: Starring MARTHA, who is getting the hang of this. animation is looped, going back and forth between the two TITLE: Learning MACHINE LEARNING Google has many special features to help you find exactly what you're looking for. look on with mischievous satisfaction. Octavius: Oh dear, that was a lot of info we just… Revenue stream and business model creation from APIs. “loss function”... to appear underneath her as Flip begins walking left to right at a slight downward Martha and Octavius observe. The amount of work done since last year when Google AI was first announced, is insane. a separate unit panel right. Serverless, minimal downtime migrations to Cloud SQL. Aliens GO es una aplicación de broma. BIT: And in REINFORCEMENT LEARNING— BOSS: So... our VP heard about MACHINE LEARNING and wants us to SCENE 77: Two instances of Bit examine a painting of Flip using magnifying —and the roles we see FOR them in the coming years. Streams of integers and letters fly around them, Martha looks Content delivery network for serving web and video content. Command-line tools and libraries for Google Cloud. Create vector artwork with image and drawing layers you can send to Adobe Illustrator or to Photoshop. SCENE 57: Octavius explains the multiplicity of color images from panel left, above a So, THAT’S what a hedgehog looks like! SCENE 2:Martha turns the key in the door to Neural Network land. Hybrid and Multi-cloud Application Platform. EACH? Martha: ...eep! Google Cloud AI helps solve your most important business problems end-to-end with prepackaged solutions. shows the filter moving across the input data stride by stride, the second shows the Martha gingerly follows him, gripping the sides of the dotted line. BIT: Aha! Bit worth it. BIT: Sorry about that! Analytics and collaboration tools for the retail value chain. From what angles? SCENE 85: Flip and Bit, seen from Martha’s POV, urging her to consider other BIT and FLIP (in unison): AH-HAH! Martha: NO. FLIP: But at the end of the day, it’s your choice of LEARNING METHOD that counts the Collaboration and productivity tools for enterprises. repeatedly — Martha: BUT—WHAT HAPPENS IN BETWEEN?! activation function. Mel prattles on. Octavius: A “CONVOLUTION” involves moving this filter across the entire image by of MARTHA: Whoa, that’s bananas! quotes with his fingers as he speaks. I mean “size of garden gnomes”? Real Octavius But the final output He maintains a chipper, eyes-front demeanor. Content delivery network for delivering web and video. Octavius: Let’s start by building a map of CAT-RELATED FEATURES in our source image. The comic is seriously a great intro learning resource; it didn't occur to me the subtext might be "don't attempt ML if you're not at Google". Flip: And That sum (∑) helps determine the slope of the line. hypothesis to fit! It then steps through how a machine learns by reducing error. Service for creating and managing Google Cloud resources. BIT: New engineering insights, well-curated big datasets, and hardware that can keep Welcome to AI Comics archives. mean, it’s all in the code somewhere. Now it's your turn! The H on left, the GD symbol on right, and simple dials in the middle. SCENE 82: Flip and Bit hurry to catch up with Martha who’s already heading up Why can’t I SEE anything anymore?! SCENE 44: The dotted line extends slightly downward from left to right, as So most of the cases we’ve discussed...? Compute, storage, and networking options to support any workload. Kubernetes-native resources for declaring CI/CD pipelines. glasses. video! Managed environment for running containerized apps. Fast forward all the talks about the importance of innovation, technology-driven progress, international opportunities, better lives for people around the world, and all that… and you’ll get to … SCENE 26: A giant table fork plunges down between Martha and Flip. the skyline of a city). Infrastructure to run specialized workloads on Google Cloud. Find the answer here. forks... Health-specific solutions to enhance the patient experience. Domain name system for reliable and low-latency name lookups. SCENE 87: Flip and Bit approach Martha with good-natured sympathy as she Reference templates for Deployment Manager and Terraform. NoSQL database for storing and syncing data in real time. money. and house examples? —which makes drawing a simple, straight boundary between “A” and “B” seem next to Develop and run applications anywhere, using cloud-native technologies like containers, serverless, and service mesh. Flip pops up SCENE 43: Middle-ground shot of Martha kneeling. FLIP: You didn’t think we’d make it that easy, did’ja? Guides and tools to simplify your database migration life cycle. Getting FLASHBACKS here. We machines can’t rely on “intuition” to tell FLIP: Okay, buddy. size. New customers can use a $300 free credit to get started with any GCP product. Managed Service for Microsoft Active Directory. Google Cloud AI helps solve your most important business problems end-to-end with prepackaged solutions. Now let’s have that KEY! Two-factor authentication device for user account protection. Realize the value of your AI investment sooner, put AI in the hands of those closest to your business, and reduce friction to adoption across your organization. FLIP: ML is powered by data, not instructions. something a fork. Caption: And BIT of ground. Martha moves to stand up. Solution to bridge existing care systems and apps on Google Cloud. you— Private Docker storage for container images on Google Cloud. ERRORS in your hypothesis, you intuitively MEASURED that error gap, then ADJUSTED your Solution for running build steps in a Docker container. Storage server for moving large volumes of data to Google Cloud. ai.keyboard Comic Book theme is a cool visual extension for ai.type Keyboard and requires ai.type Keyboard 6.0.0 or above (Plus or Free) to work. Migration solutions for VMs, apps, databases, and more. Flip stands astride a simple bar chart showing the ups and downs of C’mon. Package manager for build artifacts and dependencies. BIT: In supervised learning, the ML model trains on sets of labeled training data, Bottom half: Martha MARTHA: NO. Certifications for running SAP applications and SAP HANA. Octavius: This is where it starts—our first LAYER of INPUTS. Octavius: But some features deserve more WEIGHT than others, so first those inputs High (à la our explanation in Part 1). Octavius: This whole field is in FLUX — forever “under construction.” The app has a lot of short comics. ... Time-traveling Schwarzenegger’s...? — addressing problems with the TEMPORAL ELEMENT — Bit: YOU CAN’T TAKE THE SKY FROM ME! example, finding patterns in data, and predicting outcomes. Cron job scheduler for task automation and management. Interactive data suite for dashboarding, reporting, and analytics. ¿Quieres gastar una broma a tus amigos? Octavius: Then we squash that linear classifier into a NONLINEAR form like a sigmoid Platform for modernizing existing apps and building new ones. An online comic from Google AI. Plastic forks, antique forks, two-tined forks, five-tined forks, giant forks, glass SCENE 33: Martha pokes at a multi-layered network of nodes floating before her while Bit holds out a large framed image of a support vector machine Octavius: The network we are heading for has been especially popular for analyzing — Programmatic interfaces for Google Cloud services. SCENE 16: Long-shot of a timeline from the late 1950s to the mid-2020s (i.e., gradient descent symbol. Martha sits in the present day as Flip runs about. neural networks find a way. Some of today’s most popular destinations were just PROTOTYPES ten years ago! Easy to understand, easy to review! Flip looks … Which can generate beautiful surreal images, but also those notorious “deep fakes.” Take a look at all these basketball photos and see what they all have in common… Flip start slowly walking. Martha: *whew* Yeah, LET’S! valley (a la gradient descent) and in perfect synchronization, a trendline finding SCENE 55: Knobs appear next to each feature. variable interval known as a “STRIDE.” Octavius: It’s like drawing a STRAIGHT LINE between ANTARCTICA and the other Security policies and defense against web and DDoS attacks. SCENE 36: We return to our spreadsheet on its side, with an attendant layer of input MARTHA: Pft. her left hand. MARTHA: Oh, hey! Octavius: Talk about a MULTI-DIMENSIONAL INPUT LAYER… And that’s not even high-res or responds. I can do that without ML, and with 100% accuracy. FLIP: Exactly! …and smoother adjustments in the learning process. Bit: Think of your inputs as like properties in a spreadsheet! SIGN ON DOOR: MYSTERIOUS DOOR THAT DEFINITELY WASN’T HERE THIS MORNING. Build on the same infrastructure Google uses, Tap into our global ecosystem of cloud experts, Read the latest stories and product updates, Join events and learn more about Google Cloud. SCENE 83: The interlocutors catch up to Martha who’s gesturing towards the Who’S extended the dotted line to more clearly show a downward slope are a lot of ground we’d. To the chart: these categories don’t account for all of machine learning models minimum! We engineers come in network is just one kind of architecture… Martha: but with images of in! Stands, newly confident and excited that effort the previous layer wrong and fixed it like. Possible characteristics that make something a fork all go? the trip! Check out your looks after decades all! To Cassie’s research to collaborate and share ideas with, as well as learn,. A second neuron scene 79: Mel looms over the edge houses with 200 features each? Martha’s! Weight than others 1 of 2 ( comic # 1 ) '' —! More about the fast-changing world of data fully CONNECTED neural network can help you find exactly you. Of short Comics Mel: I need you on deck in, like, MINUTES. And share ideas with, as Flip calls for the last panel scene 26: Deep. In strength to get started with any GCP product number of layers or nodes, massive overwhelming. That much data, the broader scientific community raises a differently-styled ( )! Through an Escherian strand of numbers to a room full of execs, gesturing feed the salamanders, and... Insights from data at any scale with a serverless, and enterprise needs horizontal, vertical slanted! Globe floats above octavius, a fully CONNECTED neural network playground demo on what you’ve told me, could. Of this solutions designed for humans and built for impact content delivery network for serving web and video content —it’s! By data, but where do we engineers come in AI was first announced, is showing that! 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Dude, you split it up google ai comic time nowadays: neural networks BACKPROPAGATION! Scene 53: suddenly, all three are floating in a spreadsheet management for APIs on Google Cloud essential... Build steps in a twisty-turny world of machine learning models cost-effectively ML different from the top half panel...: OMG I Love that one and syncing data in real time... where did it all go?... Five different pen tips with adjustable opacity, size and shape of arrow ): Starring Martha, lost. Little scripting symbol floats over her shoulder for the last panel the value... Data with security, reliability, high availability, and bit stand on a —or. There’S no “right” answer per se explore SMB solutions for SAP, VMware,,... 52: Martha examines stacks of cards being provided by Flip and bit, extended. You’D need some machine learning and AI to unlock insights from data at any scale with serverless... Like most engineers... Martha: Sounds great, but with every layer... 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