Emerging Tech: Page
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Brand Experience Team/TechTarget
What is supervised learning?
Supervised learning is a subcategory of machine learning (ML) and artificial intelligence (AI) where a computer algorithm is trained on input data that has been labeled for a particular output.
By Alexander Gillis, David Petersson, Kinza Yasar • Aug. 21, 2024 -
Brand Experience Team/TechTarget
Industry experts share top tactics for AI-powered analytics
Unlock the power of AI in data analytics with expert guidance. Learn how to implement AI tools that drive strategic success and future-proof your business.
By Ana Salom-Boira • Aug. 20, 2024 -
Brand Experience Team/TechTarget
What is machine learning? Guide, definition and examples
Machine learning is a branch of AI focused on building computer systems that learn from data.
By Lev Craig , Linda Tucci • Aug. 16, 2024 -
Brand Experience Team/TechTarget
What is a backpropagation algorithm?
A backpropagation algorithm, or backward propagation of errors, is an algorithm that's used to help train neural network models.
By Alexander Gillis, Andrew Zola, Cameron Hashemi-Pour • Aug. 15, 2024 -
Brand Experience Team/TechTarget
Startup aims to upend old-school RPA with large action model
With its GenAI-based platform, Orby AI aims to provide enterprises with generative process automation and AI agents to automate a range of business workflows.
By Shaun Sutner • Aug. 12, 2024 -
Brand Experience Team/TechTarget
Expert Advice
How and why to run machine learning workloads on Kubernetes
Running ML model development and deployment on Kubernetes is an absolute must in a world where decoupling workloads can optimize resources and cut costs.
By Michael Levan • Aug. 12, 2024 -
Brand Experience Team/TechTarget
AI inference startup Groq raises $640M
The startup develops language processing units and sells them as a service. While the vendor must deal with market giant Nvidia, it has an opportunity to stay competitive.
By Esther Shittu • Aug. 5, 2024 -
Brand Experience Team/TechTarget
What new AI search features in Chrome mean for users
The features bring Google Lens to the desktop, and help users rediscover their search history and compare products on a single tab. They are useful for consumers and enterprises.
By Esther Shittu • Aug. 5, 2024 -
Brand Experience Team/TechTarget
Examining the tech stances of Kamala Harris and Donald Trump
Harris has been close to the tech and AI community in her home state of California but is markedly more pro-regulation than Trump. The candidates are vying for tech and AI support.
By Shaun Sutner , Esther Shittu • Aug. 5, 2024 -
Brand Experience Team/TechTarget
Perplexity AI revenue share model appeases publishers
Publishers earn a share of the startup's revenue when their work is referenced. They also have access to the vendor's LLM API and developer support. But writers are not included.
By Esther Shittu • July 31, 2024 -
Brand Experience Team/TechTarget
Expert Advice
Tips to prevent machine learning scalability problems
Addressing ML scalability challenges involves selecting the right models, planning resource usage and managing network connectivity to support expanding applications and data load.
By Tom Nolle • July 31, 2024 -
Brand Experience Team/TechTarget
What is natural language understanding (NLU)?
Natural language understanding (NLU) is a branch of artificial intelligence (AI) that uses computer software to understand input in the form of sentences using text or speech.
By Alexander Gillis • July 29, 2024 -
Brand Experience Team/TechTarget
What is clustering in machine learning and how does it work?
Clustering is a data science technique in machine learning that groups similar rows in a data set.
By Patrick Hall • July 29, 2024 -
Brand Experience Team/TechTarget
What is adversarial machine learning?
Adversarial machine learning is a technique used in machine learning (ML) to fool or misguide a model with malicious input.
By Alexander Gillis, Cameron Hashemi-Pour • July 29, 2024 -
Brand Experience Team/TechTarget
CNN vs. RNN: How are they different?
Convolutional and recurrent neural networks have distinct but complementary capabilities and use cases. Compare each model architecture's strengths and weaknesses in this primer.
By David Petersson, Lev Craig • July 29, 2024 -
Brand Experience Team/TechTarget
What is machine vision?
Machine vision is the ability of a computer to see; it employs one or more video cameras, analog-to-digital conversion and digital signal processing.
By Kinza Yasar , Ben Lutkevich • July 29, 2024 -
Brand Experience Team/TechTarget
What is fine-tuning in machine learning and AI?
Fine-tuning is the process of taking a pretrained machine learning model and further training it on a smaller, targeted data set.
By Lev Craig • July 29, 2024 -
Brand Experience Team/TechTarget
Video
An explanation of collaborative robots
Cobots are robotic arms equipped with sensors for manufacturing and assembly tasks. They also detect human presence for productivity enhancement.
By Kinza Yasar • July 29, 2024 -
Brand Experience Team/TechTarget
A year in review with the Targeting AI podcast
The show explored diverse angles on generative and mainstream AI technology. It delved into regulation, ethics, startups and trends with vendors, AI users, developers and thinkers.
By Shaun Sutner , Esther Shittu • July 29, 2024 -
Brand Experience Team/TechTarget
OpenAI takes on Google with new SearchGPT prototype
The AI engine will provide users with information from the web. The AI vendor is working with publishers such as Newsmax. It will incorporate some features in ChatGPT.
By Esther Shittu • July 26, 2024 -
Brand Experience Team/TechTarget
What is boosting in machine learning?
Boosting is a technique used in machine learning that trains an ensemble of so-called weak learners to produce an accurate model, or strong learner. Learn how it works.
By George Lawton • July 26, 2024 -
Brand Experience Team/TechTarget
What is Bayes’ theorem? How is it used in machine learning?
Bayes' theorem is a mathematical formula used in probability theory to calculate conditional probability, i.e., the revised likelihood of an outcome occurring given the knowledge of a related condition or previous outcome.
By Olivia Wisbey • July 23, 2024 -
Brand Experience Team/TechTarget
What is reinforcement learning?
Reinforcement learning (RL) is a machine learning training method that trains software to make certain desired actions.
By Joseph Carew, Alexander Gillis, Cameron Hashemi-Pour • July 23, 2024 -
Brand Experience Team/TechTarget
What is the future of machine learning?
Machine learning is changing how we write code, diagnose illnesses and create content, but implementation requires careful consideration to maximize benefits and mitigate risks.
By Lev Craig • July 22, 2024 -
Brand Experience Team/TechTarget
Video
An explanation of bots
Bots are automated programs with varied roles. They can be both helpful and malicious.
By Tommy Everson • July 19, 2024
Podcast
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