Deep dive into the state of AI & ML. Landscape, trends, regulation. Part 1. What is AI? AI & ML Landscape
It’s no secret that AI & ML have been all the rage in recent years, finding applications in various business domains more frequently than ever. However, as the popularity of this technology soars, so do the associated risks. Here at LAB325, we’ve delved into the topic, conducting an in-depth study based on numerous publications and reports to unravel what lies ahead for AI & ML in the near future.
Artificial Intelligence, often referred to as AI, is a revolutionary process that involves constructing intelligent machines through vast amounts of data. These systems learn from previous experiences and knowledge to perform tasks akin to human capabilities. By augmenting speed, precision, and efficiency, AI complements human efforts. The foundation of AI lies in intricate algorithms and methodologies that empower machines to make independent decisions. At its core, AI is powered by Machine Learning and Deep Learning, paving the way for incredible advancements in technology. As the learning process progresses, the performance of ML algorithms dynamically enhances with a larger pool of available samples. Take deep learning, for instance, a sub-domain of machine learning that empowers computers to imitate human traits like learning from examples. It outperforms conventional ML algorithms, delivering superior performance parameters.
Artificial Intelligence can be categorized based on its capabilities and functionalities.
In terms of capabilities, there are three types of AI:
1. Narrow AI
Narrow AI, also known as Weak AI, is designed to handle specific tasks within its limited scope and cannot extend beyond those boundaries. It focuses on excelling in a particular subset of cognitive abilities, and its prevalence is on the rise as machine learning and deep learning techniques progress.
Examples of Narrow AI are widespread in our daily lives. Take Apple Siri, for instance, which operates with a predefined set of functions and may encounter challenges when faced with tasks outside its capabilities. Another notable Narrow AI is the IBM Watson supercomputer, which leverages cognitive computing, machine learning, and natural language processing to process information and provide answers. Notably, IBM Watson showcased its capabilities by defeating human contestant Ken Jennings on the renowned game show, Jeopardy!
Additional examples of Narrow AI encompass Google Translate, image recognition software, recommendation systems, spam filtering, and Google’s page-ranking algorithm. These applications demonstrate the practicality and effectiveness of Narrow AI in various domains.
2. General AI
General AI, or strong AI, possesses the ability to comprehend and learn any intellectual task akin to a human being. It empowers machines to apply knowledge and skills across various contexts. However, as of now, AI researchers have not succeeded in creating strong AI. The challenge lies in programming machines with full cognitive abilities, including consciousness, a feat yet to be achieved. The pursuit of General AI continues to drive innovation and exploration in the field of artificial intelligence.
Fujitsu has engineered the K computer, one of the world’s fastest supercomputers, making significant strides toward achieving strong AI. However, simulating a single second of neural activity took nearly 40 minutes, making the timeline for achieving strong AI uncertain. In the realm of supercomputers, Tianhe-2, developed by China’s National University of Defense Technology, holds an impressive record of 33.86 petaflops (quadrillions of cps). While this achievement is remarkable, it pales in comparison to the human brain’s estimated capacity of one exaflop, equivalent to a billion cps. The quest for AI’s advancement continues to push the boundaries of computational capabilities.
3. Super AI
Super AI, the pinnacle of artificial intelligence, goes beyond human capabilities and excels in every task. This concept of artificial superintelligence envisions AI reaching a level where it not only comprehends human emotions and experiences but also possesses emotions, needs, beliefs, and desires of its own. Currently, it remains a hypothetical existence. Key traits of super AI encompass independent thinking, problem-solving, and the ability to make judgments and decisions autonomously. As we explore the realm of AI, the potential for super AI challenges our understanding of intelligence and consciousness.
The various types of Artificial Intelligence are categorized based on functionalities.
1. Reactive Machine
Reactive machines form the fundamental type of artificial intelligence, relying solely on current data without storing memories or using past experiences for future actions. They perceive and respond to the immediate world around them. Reactive machines are designed for specific tasks and lack capabilities beyond those assigned to them.
IBM’s Deep Blue, which famously defeated chess grandmaster Garry Kasparov, exemplifies a reactive machine. Deep Blue can analyze the chessboard’s current state, identify pieces and their possible moves, and make predictions about future moves. However, it doesn’t refer to past experiences or improve with practice, focusing solely on the present moment to make decisions.
2. Limited Memory
Limited Memory AI, also known as Memory-Based AI, utilizes past data to inform its decision-making process. However, the memory of these systems is temporary, and they can only access this past data for a limited duration. Unlike humans who can accumulate knowledge over time, Limited Memory AI cannot retain and add past experiences to its repository. This technology finds applications in self-driving vehicles, where the system relies on recent data to navigate and make real-time driving decisions.
3. Theory of Mind
Theory of Mind AI is an advanced and theoretical form of technology that is currently conceptual. This type of AI would require a deep comprehension that individuals and objects in an environment can influence emotions and actions. It would need to understand human emotions, feelings, and thoughts. While significant advancements have been made in this area, Theory of Mind AI is still a work in progress and has not been fully realized yet.
A practical illustration of Theory of Mind AI is demonstrated through Kismet, a robot head created by a researcher from the Massachusetts Institute of Technology in the late 90s. Kismet can mimic and recognize human emotions, showcasing significant advancements in this field. However, it lacks the ability to track gazes or convey attention to humans. Another notable example of Theory of Mind AI is Sophia from Hanson Robotics. Equipped with cameras in her eyes and advanced computer algorithms, Sophia can see, maintain eye contact, recognize individuals, and track faces. Her capabilities highlight the progress made in implementing Theory of Mind AI.
4. Self Awareness
Self-awareness AI remains a theoretical concept for now. These hypothetical systems possess the ability to comprehend their internal traits, states, and conditions, as well as perceive human emotions. If realized, these machines would surpass human intelligence. They would not only understand and evoke emotions in their interactions but also possess emotions, needs, and beliefs of their own. This level of AI represents a fascinating and thought-provoking possibility for the future.
Diverse Branches of Artificial Intelligence
AI research has made remarkable strides, unveiling effective techniques to solve a wide array of problems, spanning from game playing to medical diagnosis. Within the realm of AI, numerous branches have emerged, each with its own focus and set of techniques. Here are some of the pivotal branches of AI:
Machine Learning: This field revolves around developing algorithms with the capacity to learn from data. Machine learning finds applications in image recognition, spam filtering, and natural language processing, among others.
Deep Learning: A subset of machine learning, deep learning employs artificial neural networks to acquire knowledge from vast datasets. It has proven immensely successful in solving challenges such as NLP, image recognition, and speech recognition.
Natural Language Processing (NLP): NLP centers on the interaction between computers and human language. It empowers systems to comprehend and process human speech, driving applications like machine translation, speech recognition, and text analysis.
Robotics: Robotics, a field of engineering, delves into the design, construction, and operation of robots. These automated machines undertake tasks in diverse industries, including manufacturing, healthcare, and transportation.
Expert Systems: Designed to emulate the reasoning and decision-making abilities of human experts, expert systems find applications in various fields, from medical diagnosis and financial planning to customer service.
Each branch of AI holds tremendous promise, propelling us toward a future brimming with innovation and possibilities.
Here is the list of the most popular AI platforms and services:
Text Applications
Search: Internet
Andi, Friday Go, Hotbot, Komo, Metaphor, Microsoft new Bing, Neeva
Search: Enterprise, Sales, Marketing & Accounting
ExactBuyer, Glean, Hebbia, keywrds.ai, Pinecone, Vectara, weaviate.io
Search: Jobs
Apply AI, hireBrain, JobHuntMode, MatchThatRoleAI, NetworkAI
Search: Books, Images, Podcasts, Videos, & TV
All Search, Anypod, BOOKCLUB.AI, Context, EveryPixel, Sona, Tapesearch, Twelve Labs, Watch Now
Search: Research
AlphaResearch, Elicit, NewsDeck, OpenRead, Semantic Scholar, SciSpace, WolframAlpha
Search: Programming/Software Development
Bloop, Phind, Context, GitHub Data Explorer, Buildt
Chat
OpenAI ChatGPT, Google Bard, Claude
Sales & Marketing Copy Generation
Anyword, copy.ai, copymatic, Creatext, Frase, Hypotenuse, Jasper, Lately, Letterdrop, Longshot, Peppertype, Persado, Podium, Regie, Rytr, SmartWriter, Writesonic
Email Generation
Autobound, Benchmark, HyperType, leadIQ Scribe, MailMentor, mails.ai, Rytr, Salesboom.ai
Other Copy Generation
Compose, copysmith, DeepReview, elaborate, HyperWrite, Jenni, Linguix, Scribe, Writer
Note-Taking & Document Summarization
A121 Labs WordTune Read, Cogram, genei, Hila, Notably, Scholarcy
Writing Assistance & Translation
A121 Labs WordTune, git18n, Grammarly
Image Applications
2D Image Generation
AI Images MagicStock, Artbreeder, Bing Image Creator, Craiyon, DALL-E 2, Midjourney, NightCafe, Shutterstock AI Image Generator, Solace Vision, Spellbrush, Stability DreamStudio, starryai, Stock AI, stockimg.ai, WOMBO Dream, Zazow
Web Design, Color Palette Generation
Colormind, Designs.ai, Fronty, Khroma, Mutiny, Uizard
Image Editing, Enhancement & Style Transfer
Autoenhance, Facet, Imagen, Let’s Enhance, PhotoRoom, Rosebud, Stability ClipDrop
Ad Generation
Blend, Collider AI, Memorable, Pencil, Re:cast
Presentations/Slide Generation
Autoslide, beautiful.ai, decktopus, MagicSlides, motionit, PowerMode, Powerpresent AI, presentations.ai, Prezo, SlidesAI
3D Image Generation
Bifrost, Common Sense Machines, Hypar, Kaedim, Maket, Sloyd
Digital People Generation
Botika, Soul Machines, Replika , anima, Colossyan, Metaphysic
Video Applications
Video Generation From Text
Runway, HeyGen, Synthesia, Pictory, Elai, Steve AI
Video Editing
PEECH, Pinterest VOCHI, Recut, VEED, Lumen5, Flexclip
Video Personalization & Derivative Content Generation
Exemplary.ai, Maverick, Tavus, Terra , Video Tap, vidyo.ai, Yepic
Audio Applications
Music Generation
Aimi, Aiva, AudioShake, beatoven.ai, Endel, HookGen, Mubert, Musico, OpenAI Jukebox, Soundful, Soundraw, Staccato
Text to Speech
Au Auris, Coqui, DeepZen, ElevenLabs Prime Voice, Listnr, Lovo, Murf, Replica, Resemble.ai, Speechify, Voicemaker, voicera, WellSaid
Speech to Text (Transcription)
Transcription: General
Deepgram, ermine.ai, MacWhisper, Revoldiv, Rhythmex, ScribeBuddy, Transkribieren, Type Studio, vid2txt, Vocapia
Transcription: Note Taking
Berrycast, Fathom, Good Tape, Read, Sembly , tl;dv, Zoom IQ
Transcription: Subtitle Generation
FREESUBTITLES.AI, izwe.ai, ScriptMe, Taption, Targum, Zubtitle
Transcription: Podcasts
Transcription: APIs
Transcription: Other
EchoFox, Heark, krekicki, TranscribeMe, Video2Recipe
Dubbing
Dübverse, Deepdub, DupDub, EZDubs, Papercup, TranslateVideo
Music Editing & Processing
AudioStrip, Cryo Mix, Krisp, LALAL.AI, Moises, VocalRemover
Speech Editing & Processing
Cleanvoice, Podcastle, Resemble.ai Speech-to-Speech, Vocal Clarity, VoiceMod
Coding Applications
Website Generation from Text
Aspen, Debuild, Durable, Enzyme, Galileo AI, Sitekick, Studio AI
Website Generation from Figma Designs
Website Personalization & Optimization
Aidaptive, Intellimize, The.com, uKit AI
Code Generation/Completion
aiXcoder, Bito, CodeAssist, CodeComplete, CodeGPT, CodeI, Codeium, GitHub Copilot, Mutable, Replit Ghostwriter, Tabnine, Warp AI
Code Analysis & DevOps Intelligence
Adrenaline, AI Code Reviewer, Codacy, Codeball, Coderbuds, Codiga, Metabob, What The Diff, Whispr
Documentation Generation
DocumentationLab, DocuWriter, FigStack, Mintlify, Stenography
Data Applications
Automated Analysis & Insights
AI2sql, Channel, Chat2Stats, Consensus, Dataherald, Defog, GenerativeBI, Finalle, Kanaries, Lookup, Maya, ProbeAI, SQL Genie, SQL Genius, String, Symbl, TableTalk, Windsor
Machine Learning & DataOps
Airops, aporia, beam , Deepset, FeatureForm, Gantry, Lang, Jina
Synthetic Training Data Generation
Datagen, gretel, Mirry, Syntegra, Synthesis AI, MostlyAI
Bots
Chatbots
Ada , Air Odin, Balto, Botsify, Certainly, Cohere, Cresta, Elise, Forethought, Haptik, IBM Watson Assistant, Intercom, Kasisto, Observe AI, Sapling, Tymely, Ultimate, Verloop
Personal Assistants & AI Agents
Adept, AgentGPT, Auto-GPT, BabyAGI, Incentivai, Merlin, PolyAI , prodigy AI, shepherd, Stork, Unique AI, Ushur, Xembly
Other Applications
Gaming
Inworld, charisma, Hidden Door narrative AI, latitude, Poly
Drug Development
JadBio, Lavo, PharmaTrace, Potion
Language Learning
Duolingo, Langotalk, Language Mate, LearnLingo, Lingobo, Praktika, Quazel, Saruna, Slai, Soofy, Tandem GPT
Miscellaneous
AnthemScore, Bladerunner, Hexo, Looria, Mixo, Salesforce Einstein
Continue to Part 2. Investments, Fundraising, Insights and trends.