Emerging Tech: Page
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LexisNexis launches commercial version of AI research tool
Nexis+AI enables users to research and analyze news, summarize documents and create first drafts. The platform is built on GPT from Microsoft Azure and Anthropic Claude from AWS.
By Esther Shittu • July 17, 2024 -
Data science vs. machine learning: What’s the difference?
Data science and machine learning both play crucial roles in AI, but they have some key differences. Compare the two disciplines' goals, required skills and job responsibilities.
By Lev Craig • July 17, 2024 -
Expert Advice
10 popular libraries to use for machine learning projects
Machine learning libraries expedite the development process by providing optimized algorithms, prebuilt models and other support. Learn about 10 widely used ML libraries.
By Kerry Doyle • July 11, 2024 -
gradient descent
Gradient descent is an optimization algorithm that refines a machine learning (ML) model's parameters to create a more accurate model.
By George Lawton • July 10, 2024 -
Expert Advice // Getting started with machine learning operations (MLOps)
What are the benefits of an MLOps framework?
While maintaining machine learning models throughout their lifecycles can be challenging, implementing an MLOps framework can enhance collaboration, efficiency and model quality.
By Stephen Bigelow • July 9, 2024 -
Google targets GenAI accuracy, speed, size, efficiency
The tech giant advances again in the generative AI competition that has rocked the tech industry over the last two years, with key updates to its Gemini and Imagen models.
By Shaun Sutner • June 27, 2024 -
Supervised vs. unsupervised learning explained by experts
Learn the characteristics of supervised learning, unsupervised learning and semisupervised learning and how they're applied in machine learning projects.
By George Lawton • June 24, 2024 -
self-driving car (autonomous car or driverless car)
A self-driving car -- sometimes called an autonomous car or driverless car -- is a vehicle that uses a combination of sensors, cameras, radar and artificial intelligence (AI) to travel between destinations without a human operator.
By Alexander Gillis, Ben Lutkevich • June 20, 2024 -
Expert Advice
Choosing between a rule-based vs. machine learning system
Deciding between a rule-based vs. machine learning system comes down to complexity and organizational needs. Compare the advantages, drawbacks and use cases for each AI approach.
By Joseph Carew, Olivia Wisbey, Emily Foster • June 12, 2024 -
Expert Advice
Compare natural language processing vs. machine learning
Both natural language processing and machine learning identify patterns in data. What sets them apart is NLP's language focus vs. ML's broader applicability to many AI processes.
By Olivia Wisbey • June 7, 2024 -
machine learning engineer (ML engineer)
A machine learning engineer (ML engineer) is a person in IT who focuses on researching, building and designing self-running artificial intelligence (AI) systems to automate predictive models.
By Kinza Yasar • June 3, 2024 -
telepresence robot
A telepresence robot is a robotic device that enables a user to maintain a virtual presence in a remote location.
By Ivy Wigmore, Robert Sheldon • May 28, 2024 -
Lessons from the 2024 MIT Sloan CIO Symposium
Insights on generative AI for automation vs. augmentation
At the MIT Sloan CIO Symposium, industry leaders shared experiences with generative AI's benefits and challenges, highlighting the technology's ability to assist human workers.
By Lev Craig • May 16, 2024 -
Google Gemini generative AI hits all products, including Search
The tech giant made its Gemini GenAI model more powerful and rolled out new Gemini-powered products for enterprises and consumers.
By Shaun Sutner • May 14, 2024 -
Best practices for getting started with MLOps
As AI and machine learning become increasingly popular in enterprises, organizations need to learn how to set their initiatives up for success. These MLOps best practices can help.
By Olivia Wisbey • May 6, 2024 -
What are graph neural networks (GNNs)?
Graph neural networks (GNNs) are a type of neural network architecture and deep learning method that can help users analyze graphs, enabling them to make predictions based on the data described by a graph's nodes and edges.
By Alexander Gillis • May 2, 2024 -
What are vector embeddings?
Vector embeddings are numerical representations that capture the relationships and meaning of words, phrases and other data types.
By Kinza Yasar • May 2, 2024 -
What are masked language models (MLMs)?
Masked language models (MLMs) are used in natural language processing (NLP) tasks for training language models.
By Kinza Yasar • May 2, 2024 -
Expert Advice
Tips for planning a machine learning architecture
When planning a machine learning architecture, organizations must consider factors such as performance, cost and scalability. Review necessary components and best practices.
By Chris Tozzi • April 15, 2024 -
Expert Advice
How to get started with machine learning
Machine learning roles are rapidly evolving and require a diverse range of skills. Looking to join the field? Start by exploring job responsibilities and required experience.
By Stephen Bigelow • March 29, 2024 -
Expert Advice // The role of data quality in AI and machine learning
Clean data is the foundation of machine learning
Clean data is crucial to achieving accurate, consistent and thorough machine learning models. With the right prep techniques, teams can improve data quality and model outcomes.
By Donald Farmer • March 20, 2024 -
Elon Musk sues Sam Altman, OpenAI for breach of contract
The owner of X argues that OpenAI's CEO and Greg Brockman breached the original agreement the AI company was founded on through its partnership with Microsoft and release of GPT-4.
By Esther Shittu • March 1, 2024 -
BERT language model
BERT language model is an open source machine learning framework for natural language processing (NLP).
By Cameron Hashemi-Pour, Ben Lutkevich • Feb. 15, 2024 -
Google turns Bard AI into Gemini, launches Gemini Advanced
The tech giant gave Bard a new name and introduced users to Ultra 1.0 through a new mobile app. It revealed changes to Duet AI and Cloud.
By Esther Shittu • Feb. 8, 2024 -
uncanny valley
The uncanny valley is a common unsettling feeling people experience when androids or humanoid robots and audio/visual simulations closely resemble humans in many respects but aren't quite convincingly realistic.
By Alexander Gillis • Feb. 6, 2024