Difference between revisions of "IBM"

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|keywords=artificial, intelligence, machine, learning, models, algorithms, data, singularity, moonshot, Tensorflow, Google, Nvidia, Microsoft, Azure, Amazon, AWS  
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|keywords=ChatGPT, artificial, intelligence, machine, learning, GPT-4, GPT-5, NLP, NLG, NLC, NLU, models, data, singularity, moonshot, Sentience, AGI, Emergence, Moonshot, Explainable, TensorFlow, Google, Nvidia, Microsoft, Azure, Amazon, AWS, Hugging Face, OpenAI, Tensorflow, OpenAI, Google, Nvidia, Microsoft, Azure, Amazon, AWS, Meta, LLM, metaverse, assistants, agents, digital twin, IoT, Transhumanism, Immersive Reality, Generative AI, Conversational AI, Perplexity, Bing, You, Bard, Ernie, prompt Engineering LangChain, Video/Image, Vision, End-to-End Speech, Synthesize Speech, Speech Recognition, Stanford, MIT |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools
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|description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools  
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[http://www.youtube.com/results?search_query=IBM+artificial+intelligence+deep+learning Youtube search...]
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[https://www.youtube.com/results?search_query=IBM+artificial+intelligence+deep+learning Youtube search...]
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[http://www.google.com/search?q=IBM+gaming+deep+machine+learning+ML ...Google search]
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[https://www.google.com/search?q=IBM+gaming+deep+machine+learning+ML ...Google search]
  
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* [[Platforms: Machine Learning as a Service (MLaaS)]]
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* [[Development]] ... [[Notebooks]] ... [[Development#AI Pair Programming Tools|AI Pair Programming]] ... [[Codeless Options, Code Generators, Drag n' Drop|Codeless]] ... [[Hugging Face]] ... [[Algorithm Administration#AIOps/MLOps|AIOps/MLOps]] ... [[Platforms: AI/Machine Learning as a Service (AIaaS/MLaaS)|AIaaS/MLaaS]]
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* [[Explainable Artificial Intelligence (XAI)]]: [http://arxiv.org/abs/1802.07623 Explanations] based on the Missing: Towards Contrastive Explanations with Pertinent Negatives - IBM
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* [[Building Your Environment]]: [https://www.altexsoft.com/blog/datascience/comparing-machine-learning-as-a-service-amazon-microsoft-azure-google-cloud-ai-ibm-watson/ Comparing Machine Learning as a Service: Amazon, Microsoft Azure, Google Cloud AI, IBM Watson | Bradford Cross]
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* [[Assistants]]: [http://www.ibm.com/watson/how-to-build-a-chatbot How to build a chatbot for your business | IBM Watson Assistant]
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* [[Explainable / Interpretable AI]]: [https://arxiv.org/abs/1802.07623 Explanations] based on the Missing: Towards Contrastive Explanations with Pertinent Negatives - IBM
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* [[Processing Units - CPU, GPU, APU, TPU, VPU, FPGA, QPU]]: [http://en.wikipedia.org/wiki/Summit_(supercomputer) Summit (supercomputer) | Wikipedia]
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* [[Assistants]]: [https://www.ibm.com/watson/how-to-build-a-chatbot How to build a] [[Assistants#Chatbot | Chatbot]] for your business | IBM Watson [[Assistants|Assistant]]
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* [[Natural Language Tools & Services]]...
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* [[Processing Units - CPU, GPU, APU, TPU, VPU, FPGA, QPU]]: [https://en.wikipedia.org/wiki/Summit_(supercomputer) Summit (supercomputer) | Wikipedia]
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** [http://www.ibm.com/watson/services/speech-to-text/ Speech to Text | IBM]
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* [[Bot Framework]]: [https://www.ibm.com/cloud/watson-assistant/ IBM Watson] [[Assistants|Assistant]] building conversational interfaces into any application, device, or channel
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** [http://www.ibm.com/watson/services/text-to-speech/ Text to Speech | IBM]
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* [[Turi]]: [https://medium.com/flawless-app-stories/detecting-avengers-superheroes-in-your-ios-app-with-ibm-watson-and-coreml-fe38e493a4d1 Machine Learning in iOS: IBM Watson and CoreML | Khoa Pham | Medium]
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** [http://www.ibm.com/watson/services/natural-language-understanding/  Watson Natural Language Understanding | IBM]
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* [[Digital Twin]]: [https://www.ibm.com/blogs/internet-of-things/iot-digital-twin-enablers/ Digital Twin: Bridging the physical-digital divide | IBM]
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** [http://www.research.ibm.com/artificial-intelligence/project-debater/ Project Debater | IBM]
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* [[Graphical Tools for Modeling AI Components]]
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* [https://www.ibm.com/internet-of-things/learn/requirements-management-ai/#:~:text=AI%20offers%20the%20promise%20of,with%20documents%2C%20emails%20and%20spreadsheets. AI driven requirements management] ...[https://www.ibm.com/products/systems-engineering IBM Engineering Lifecycle Management (ELM) | IBM]
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* [[Quantum]]: [https://pennylane-pq.readthedocs.io/en/latest/ Documentation | Xanadu] This plugin provides three devices to work with PennyLane - the ProjectQ IBM device, the ProjectQ quantum simulator, and the ProjectQ classical simulator.
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* [https://www.research.ibm.com/haifa/projects/imt/AI%20Privacy/index.shtml Data Security and Privacy | IBM]  ...[[Privacy]]
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* * [[Large Language Model (LLM)]] ... [[Natural Language Processing (NLP)]]  ...[[Natural Language Generation (NLG)|Generation]] ... [[Natural Language Classification (NLC)|Classification]] ...  [[Natural Language Processing (NLP)#Natural Language Understanding (NLU)|Understanding]] ... [[Language Translation|Translation]] ... [[Natural Language Tools & Services|Tools & Services]]:
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** [https://www.ibm.com/watson/services/speech-to-text/ Speech to Text]
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** [https://www.ibm.com/watson/services/text-to-speech/ Text to Speech]
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** [https://www.ibm.com/watson/services/natural-language-understanding/  Watson Natural Language Understanding]
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** [https://www.research.ibm.com/artificial-intelligence/project-debater/ Project Debater]  ...[[Ethics#Debating|Debating]]
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** [https://www.ibm.com/products/cognos-analytics Cognos Analytics]
 
* [[Case Studies]]...
 
* [[Case Studies]]...
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** [[Gaming]]: [http://www.techrepublic.com/article/ibm-watson-the-inside-story-of-how-the-jeopardy-winning-supercomputer-was-born-and-what-it-wants-to-do-next/ IBM Watson: The inside story of how the Jeopardy-winning supercomputer was born, and what it wants to do next | Jo Best - TechRepublic]
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** [[Gaming]]: [https://www.techrepublic.com/article/ibm-watson-the-inside-story-of-how-the-jeopardy-winning-supercomputer-was-born-and-what-it-wants-to-do-next/ IBM Watson: The inside story of how the Jeopardy-winning supercomputer was born, and what it wants to do next | Jo Best - TechRepublic]
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** [[Healthcare]]: [http://futurism.com/doctors-ibm-watson-ai Doctors Are Losing Faith in IBM Watson’s AI Doctor "They came in with marketing first, product second, and got everybody excited." | Dan Robitzski - Futurism]
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** [[Healthcare]]: [https://futurism.com/doctors-ibm-watson-ai Doctors Are Losing Faith in IBM Watson’s AI Doctor "They came in with marketing first, product second, and got everybody excited." | Dan Robitzski - Futurism]
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** [[Pharmaceuticals]]: [http://www.statnews.com/2019/04/18/ibm-halting-sales-of-watson-for-drug-discovery/ IBM halting sales of Watson AI tool for drug discovery amid sluggish growth | Casy Ross - STAT]
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** [[Pharmaceuticals]]: [https://www.statnews.com/2019/04/18/ibm-halting-sales-of-watson-for-drug-discovery/ IBM halting sales of Watson AI tool for drug discovery amid sluggish growth | Casy Ross - STAT]
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** [[Agriculture]]: [http://www.ibm.com/blogs/research/2018/09/smarter-farms-agriculture/ Smarter Farms: Watson Decision Platform for Agriculture | IBM]
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** [[Agriculture]]: [https://www.ibm.com/blogs/research/2018/09/smarter-farms-agriculture/ Smarter Farms: Watson Decision Platform for Agriculture | IBM]
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* [https://developer.ibm.com/open/projects/fabric-for-deep-learning-ffdl/ Fabric for Deep Learning (FfDL)] way to run these deep-learning frameworks as a service on [[Containers; Docker, Kubernetes & Microservices|Kubernetes]]
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IBM, like pretty much every tech giant these days, is betting big on AI. At its annual Think conference, the company announced IBM <b>Watsonx</b>, a new platform that delivers tools to build AI models and provide access to pretrained models for generating computer code, text and more. It’s a bit of a slap in the face to IBM’s back-office managers, who just recently were told that the company will pause hiring for roles it thinks could be replaced by AI in the coming years. Watsonx solves this, IBM asserts, by giving customers access to the toolset, infrastructure and consulting resources they need to create their own AI models or fine-tune and adapt available AI models on their own data. Using Watsonx.ai, which IBM describes in fluffy marketing language as an “enterprise studio for AI builders,” users can also validate and deploy models as well as monitor models post-deployment, ostensibly consolidating their various workflows.  [https://techcrunch.com/2023/05/09/ibm-intros-a-slew-of-new-ai-services-including-generative-models IBM intros a slew of new AI services, including generative models | Kyle Wiggers - TechCrunch]
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<youtube>JpxkC6-bIaM</youtube>

Latest revision as of 20:55, 26 April 2024

Youtube search... ...Google search


IBM, like pretty much every tech giant these days, is betting big on AI. At its annual Think conference, the company announced IBM Watsonx, a new platform that delivers tools to build AI models and provide access to pretrained models for generating computer code, text and more. It’s a bit of a slap in the face to IBM’s back-office managers, who just recently were told that the company will pause hiring for roles it thinks could be replaced by AI in the coming years. Watsonx solves this, IBM asserts, by giving customers access to the toolset, infrastructure and consulting resources they need to create their own AI models or fine-tune and adapt available AI models on their own data. Using Watsonx.ai, which IBM describes in fluffy marketing language as an “enterprise studio for AI builders,” users can also validate and deploy models as well as monitor models post-deployment, ostensibly consolidating their various workflows. IBM intros a slew of new AI services, including generative models | Kyle Wiggers - TechCrunch


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