Emerging Tech
Top Stories
-
Feature
19 Aug 2026
Power-hungry AI data centers weigh viable energy sources
AI data centers are encountering political resistance in some communities, but they'll be built elsewhere. Survival depends on the power sources chosen and their availability. Continue Reading
-
Feature
11 Aug 2026
Physical AI, robotics revive lagging U.S. shipbuilding
Physical AI and robotics speed shipyard operations, improve production planning, increase shipbuilding volume and automate labor-intensive tasks like welding and surface prep. Continue Reading
-
Feature
17 Dec 2020
Emerging AI startups to look at in 2021
AI startups in the legal, MLOps, NLP and data training markets make this year's list of emerging AI vendors to look out for. Continue Reading
-
News
09 Dec 2020
Sharing medical imaging data with AI apps raises concerns
Opening the door to third-party AI apps is a double-edged sword for patients. Its potential for healthcare is promising, but privacy is still a work in progress. Continue Reading
-
News
01 Dec 2020
AWS releases machine learning services for industrial clients
AWS released a mix of hardware, software and cloud-based services to help manufacturing clients better manage workplace safety and machine health. Continue Reading
-
News
30 Nov 2020
ServiceNow will acquire AI startup Element AI
ServiceNow's acquisition of an AI startup based in Montreal marks the latest move by the cloud computing giant to add more automation and intelligence to its platform. Continue Reading
-
Feature
20 Nov 2020
Google AI art tool turns 2D creatures into 3D models
These 3D chimera creatures are brought to you by Google's Chimera Painter, an AI-powered tool that turns 2D images into 3D creature models. Continue Reading
-
Feature
16 Nov 2020
How to avoid overfitting in machine learning models
Overfitting remains a common model error, but data scientists can combat the problem through automated machine learning, improving AI literacy and creating test data sets. Continue Reading
-
News
03 Nov 2020
AWS launches P4d instances for deep learning training
AWS released its EC2 P4d instances, the tech giant's newest GPU-backed instances. The instances speed up AI training and supercomputing workloads. Continue Reading
-
Feature
23 Oct 2020
General AI vs. narrow AI comes down to adaptability
AI today has limited and specific applications, but the continual growth of the technology may just lead to the replication of human intelligence through general AI. Continue Reading
-
Feature
22 Oct 2020
GPT-3 AI language model sharpens complex text generation
GPT-3 is the latest natural language generation model, but its acquisition by Microsoft leaves developers wondering when, and how, they'll be able to use the model. Continue Reading
-
News
25 Sep 2020
Google, Unilever partnership uses AI for sustainable sourcing
Unilever says it will use Google Earth Engine, Google Cloud Storage and BigQuery, as well as AI technologies, to create a deforestation-free supply chain by 2023. Continue Reading
-
Feature
26 Aug 2020
Future of autonomous vehicles depends on driver attitudes
Getting the public behind the idea of an autonomous vehicle means peeling back the black box nature of AI and proving the safety of self-driving technology. Continue Reading
-
Feature
19 Aug 2020
Machine learning limitations marked by data demands
Machine learning has impressive capabilities in the enterprise, but with high-data requirements and struggles with explainability, it remains unable to reach widespread use. Continue Reading
-
Feature
19 Aug 2020
4 ways AI and digital transformation enable deeper automation
Organizations that are going beyond the enterprise adoption of digitization are entering a new wave of AI-enabled digital transformation. Continue Reading
-
Feature
13 Aug 2020
Process automation in education helps school during COVID-19
Using process automation, a school in Sydney helped keep classes going online by automating the daily roll call process. Organizations have increasingly turned to automation and AI during COVID-19. Continue Reading
-
Feature
31 Jul 2020
Autoencoders' example uses augment data for machine learning
Autoencoders are neural networks that serve machine learning models -- from denoising to dimensionality reduction. Seven use cases explore the practical application of autoencoder technology. Continue Reading
-
Feature
31 Jul 2020
AIoT applications prove the technology's adaptability
The combination of artificial intelligence and IoT has led to better predictive capabilities for devices, informed data storage, and enterprise machine optimization. Continue Reading
-
Feature
28 Jul 2020
14 best machine learning platforms for 2020
Turn ever-growing volumes of data into enterprise insights with the right platform for machine learning. Learn more about the vendors and products in this cutting-edge market. Continue Reading
-
Feature
17 Jul 2020
Accounts payable automation eliminates invoice backlog
Purple, a mattress company, struggled each week to manually process its myriad invoices and bills. It found relief in automated accounts payable software from a startup vendor. Continue Reading
-
Feature
15 Jul 2020
Care provider uses automated machine learning in healthcare
An assisted living and transitional care provider uses DataRobot to automate the process of building and deploying machine learning models, enabling it to deploy models quickly. Continue Reading
-
Feature
09 Jul 2020
AI in tax preparation gets a boost from classification tech
Tax filers and tax collectors are using AI tools to make the process of paying and collecting taxes simpler. The data-rich, complex processes of tax collection are an ideal use case for AI. Continue Reading
-
Feature
06 Jul 2020
Warehouse AI and robotics help train employees
Workers at a logistics and transportation company learn on the job with an autonomous cart, Chuck. The robot teaches employees the layout of the warehouses and where items are. Continue Reading
-
Feature
29 Jun 2020
Deep learning's role in the evolution of machine learning
Machine learning has continued to evolve since its beginnings some seven decades ago. Learn how deep learning has catalyzed a new phase in the evolution of machine learning. Continue Reading
-
Quiz
29 Jun 2020
Find out how smart you are about machine learning and AI
Machine learning can help businesses gain powerful analytics value from their data -- but only if it's done right. How much do you know about machine learning and related forms of AI? Continue Reading
-
Feature
19 Jun 2020
Machine learning for fraud prevention keeps TrafficGuard agile
TrafficGuard uses machine learning to prevent ad fraud but has faced the challenges that come along with it. Full-scale commitment and investment have eased those obstacles. Continue Reading
-
News
17 Jun 2020
DataRobot training aims to upskill citizen data scientists
DataRobot unveiled a new data science training program, and enhancements to its enterprise AI platform, including a geospatial capability and automated time series anomaly detection. Continue Reading
-
News
09 Jun 2020
DataRobot partners with BCG, acquires its analytics software
DataRobot's new partnership with Boston Consulting Group aims to bring the technical expertise of BCG to DataRobot's customers. The AI vendor also acquired analytics software from BCG. Continue Reading
-
Feature
28 May 2020
AI in sales can make smart lead recommendations
For one B2B sales tech company, a self-service AI startup founded by a former Google employee helps create lead recommendations using machine learning. Continue Reading
-
News
01 May 2020
SBA bans RPA for PPP loan applications after bots clog system
After a deluge of Paycheck Protection Program loan applications overwhelmed the SBA's electronic loan transfer system, the agency said it would no longer accept loans filed by RPA systems. Continue Reading
-
Feature
28 Apr 2020
Value of AI in capitalizing on big data, expanding automation
The strategic value of AI in business is growing as companies learn how to use AI technologies to capitalize on big data, drive automation and better serve customers. Continue Reading
-
Feature
14 Apr 2020
5 deep learning model training tips
Deep learning model training requires not only the right amount of data, but the right type of data. Enterprises must be inventive and careful when training their models. Continue Reading
-
Feature
10 Apr 2020
Text search tool makes finding documents easier
Using a visually appealing approach, Keeper.fyi enables users to search text documents, images, and graphs and charts quickly and efficiently. Continue Reading
-
Feature
03 Apr 2020
AI and RPA are here to stay
The coronavirus pandemic has caused enterprises to rely more on AI technologies as they are forced to lay off employees or temporarily close their offices. Continue Reading
-
News
31 Mar 2020
DataRobot layoffs come after years of growth
Boston-based automated machine learning vendor DataRobot, a major player in the AI industry, has laid off employees amid the coronavirus pandemic after years of fast growth for the company. Continue Reading
-
Feature
27 Mar 2020
Common sense in AI remains elusive
While AI and machine learning have made major improvements and advancements to computers, common sense in AI has proven to be a significant challenge. Continue Reading
-
News
26 Mar 2020
AI in procurement creates searchable, sorted data
Canadian startup Tealbook uses NLP and machine learning to automatically create sorted and searchable supplier data, enabling its customers to spend less time looking for data and more time using it. Continue Reading
-
Feature
23 Mar 2020
Science fiction vs. reality: A robotics industry overview
Robots have made their way into industrial, manufacturing and military settings, but the robots of science fiction remain a long-term goal rather than a reality. Continue Reading
-
Feature
19 Mar 2020
Using automated machine learning for AI in insurance
Using dotData, an automated machine learning vendor, one of the largest insurance firms in Japan built out an AI platform that provides a personalized experience to customers. Continue Reading
-
Feature
24 Feb 2020
Merging DevOps and machine learning requires restructuring
Companies that are restructuring in order to merge their traditional DevOps teams with their machine learning efforts to aid with accessibility need to include voices from multiple teams. Continue Reading
-
Feature
18 Feb 2020
The future state of machine learning needs improved frameworks
Utilizing machine learning in the collection and processing of data would most likely lead to more widespread adoption of AI based on the technology. Continue Reading
-
News
12 Feb 2020
How the Clearview AI affair likely won't spur meaningful change
An obscure AI vendor sparked controversy for scraping social media for data to power a facial recognition platform that it sells to law enforcement agencies around the world. Continue Reading
-
Feature
10 Feb 2020
Where are we with machine translation in AI?
Machine translation has received a boost from cutting-edge technology like deep learning but continues to struggle with the complexities and nuances of human languages. Continue Reading
-
Feature
31 Jan 2020
How and why are our devices listening to us?
Consumers are utilizing digital voice assistants and smartphones but may not realize how frequently companies listen in and sift through all the data these devices create. Continue Reading
-
Feature
30 Jan 2020
RPA in payroll automates finance processes for NYP hospital
NewYork-Presbyterian, one of the largest hospitals in the U.S., looked to WorkFusion to automate some payroll processes, including filling out missed punch forms. Continue Reading
-
Feature
30 Jan 2020
Comparing semi-supervised machine learning vs. one-shot learning
Machine learning models require massive amounts of data -- labeled or unlabeled. Two new approaches are hoping to curtail the need for large data sets and overarching human interference. Continue Reading
-
Feature
28 Jan 2020
What do NLP benchmarks like GLUE and SQuAD mean for developers?
AI models for various language understanding tasks have been dramatically improved due to the rise in scale and scope of NLP data sets and have set the benchmark for other models. Continue Reading
-
News
23 Jan 2020
Eye transplant nonprofit turns to supply chain modeling
Eversight, a nonprofit that recovers and transports eye tissue, turned to a supply chain management software system to better predict supply routes. Continue Reading
-
Feature
22 Jan 2020
GumGum uses machine learning annotation service Figure Eight
Computer vision vendor GumGum gets its training data from Figure Eight, a machine learning training data vendor. Figure Eight uses crowdsourcing to annotate training data. Continue Reading
-
Feature
22 Jan 2020
Patience is pivotal for the autonomous vehicle future
The fatal collision between an Uber ATG vehicle and a pedestrian was a reminder that autonomous vehicles are not ready and that a difficult technological hill remains. Continue Reading
-
News
06 Jan 2020
U.S. restricts exports of geospatial AI software
The Trump administration's move to limit export of AI-based geospatial imaging software extends U.S. restrictions on technology that foreign countries could use to develop weapons systems. Continue Reading
-
Feature
17 Dec 2019
Machine learning ops to lead AI in 2020
The increased usage of pre-trained models, machine learning ops coming to the fore and increased transparency are all poised to lead the new year in AI. Continue Reading
-
News
12 Dec 2019
DataRobot acquisition of Paxata adds data prep to AI platform
By buying data prep vendor Paxata, DataRobot plans to fill out its machine learning and AI platform with tools to automate data prep processes and provide an underlying data fabric. Continue Reading
-
Feature
10 Dec 2019
A year of AI events points to AI predictions for 2020
A thoughtful reflection on the most important AI technology news of 2019 as well as a look to what 2020 may have in store for the world of AI. Continue Reading
-
Feature
18 Nov 2019
Data visualization in machine learning boosts data scientist analytics
Data scientists offer practical insights into the role of visualization tools in building, exploring, deploying and monitoring their machine learning models. Continue Reading
-
Feature
13 Nov 2019
Using small data sets for machine learning models sees growth
While massive data sets allow for easy training, developers are using new techniques to mine and transfer data that allows for training on limited labeled information. Continue Reading
-
News
05 Nov 2019
Microsoft Power Platform gets AI and RPA updates
At Microsoft Ignite, the tech giant released new updates to ease RPA and AI building across its Power Platform, as well as new capabilities for Cortana within Microsoft 365. Continue Reading
-
Answer
30 Oct 2019
How to create a data set for machine learning with limited data
A shortage of data for machine learning training sets can halt a company's AI development in its tracks. Turning to external sources and hidden data can solve the problem. Continue Reading
-
Feature
17 Oct 2019
How the top open source AI software drives innovation
In the world of AI, open source software is driving most of the innovation. But with vendor tools largely sidelined, what does this mean for things like security and technical support? Continue Reading
-
Feature
11 Oct 2019
A chemical company simplifies workflows using RPA
Software from Automation Anywhere, an RPA vendor, was easy for Eastman Chemical Company employees to use at a desktop level to automatically handle daily tasks. Continue Reading
-
Feature
30 Sep 2019
John Deere's software and AI journey
John Deere began a software journey more than a decade ago, hiring technology teams and developing new technologies, including AI, to help drive innovation in its machinery. Continue Reading
-
Feature
27 Sep 2019
How automated machine learning tools pave the way to AI
Every enterprise is trying to get to machine learning and, ultimately, AI, but not every business has the level of skill in-house to make it happen. Is automated machine learning the answer for them? Continue Reading
-
Feature
28 Aug 2019
How to solve deep learning challenges through interoperability
The challenges of training and overseeing advanced neural networks is leading to an implementation bottleneck in deep learning technology. Continue Reading
-
Feature
15 Aug 2019
Key considerations for operationalizing machine learning
Once a machine learning model is trained, developers need to operationalize it. This turns out to be a significant challenge for many enterprises. Continue Reading
-
News
09 Aug 2019
Despite losses, DeepMind technologies are worth it to Alphabet
Alphabet's DeepMind company loses millions of dollars each year, but it appears the research firm’s AI advances are so valuable that Alphabet finds it worthwhile anyway. Continue Reading
-
Feature
09 Aug 2019
Causal deep learning teaches AI to ask why
Most AI runs on pattern recognition, but as any high school student will tell you, correlation is not causation. Researchers are now looking at ways to help AI fathom this deeper level. Continue Reading
-
Feature
29 Jul 2019
Reinforcement learning and deep learning pairing pushes AI limits
The pairing of reinforcement and deep learning is enabling researchers to push the boundaries of what AI can do and could help contribute to advanced applications. Continue Reading
-
Feature
24 Jul 2019
More to machine learning platforms than meets the AI
To reach full analytics potential, machine learning platforms powered by AI must provide scalability, handle multiple models, integrate with data sources and be cloud-friendly. Continue Reading
-
Feature
18 Jun 2019
AI in professional services revolutionizes white-collar jobs
Professional services and consulting firms are adopting AI at a rapid rate, even though these types of jobs, which mainly focus on interpersonal interaction, may not seem like strong targets for automation. Continue Reading
-
Feature
13 Jun 2019
AI in pharma: Pfizer team tries Vyasa deep learning platform
To help automatically categorize drug particle shapes, a Pfizer research team is experimenting with Vyasa, a deep learning platform for the life sciences. Continue Reading
-
Feature
07 Jun 2019
How pattern matching in machine learning powers AI
Pattern matching may sound like a simple idea, but it's being used to create some highly advanced AI tools, powering everything from image recognition to natural language applications. Continue Reading
-
Feature
05 Jun 2019
Identify the best RPA tools using these points of consideration
A successful RPA implementation depends on selecting the proper tool. Learn about the different capabilities and other points of consideration when looking at the options. Continue Reading
-
Feature
22 May 2019
Inventory optimization machine learning tool sharpens pricing
Retailers are chasing data-driven process automation in hopes of boosting sales and streamlining margins. But how do you decide which processes to automate or vendor to implement? Continue Reading
-
Feature
22 May 2019
DroneBase uses analytics-powered freelance payment system from Qwil
DroneBase uses Qwil, vendor of an analytics-based payroll and payments system, to automatically manage and pay the freelance drone pilots who use the DroneBase platform. Continue Reading
-
Feature
17 May 2019
Learn the benefits of RPA and the drawbacks by industry
RPA is a hot IT commodity. Discover more of the benefits (and drawbacks) these tools can usher into organizations and how they can enhance workflows in different industries. Continue Reading
-
Feature
16 May 2019
Reinforcement learning applications provide focused models
Goal-driven AI uses trial-and-error learning methods to find optimal solutions to enterprise problems, while distancing themselves from requiring human maintenance. Continue Reading
-
News
13 May 2019
Red Hat OpenShift Operators target AI, big data workloads
Speedy deployment of machine learning jobs may not arrive too soon. But container platform enhancements from Red Hat aim to quicken the uptake of such innovations. Continue Reading
-
Feature
03 May 2019
Grammarly AI and an update to the writing tool
A Grammarly update adds a new consistency checker tool to the writing platform that uses AI to automatically scan for multiple writing styles within a single document. Continue Reading
-
Feature
02 May 2019
ShopRunner uses Databricks for machine learning in retail
Databricks user ShopRunner talks about the tools showed at Spark + AI Summit 2019, such as MLflow and Databricks Delta Lake. And Datameer reveals new Databricks integration. Continue Reading
-
Feature
29 Apr 2019
Future of AI in transportation goes beyond self-driving cars
Transportation and logistics companies are eying an ever expanding role for AI in their products and services, ranging from safer cars to prompter shipments. Continue Reading
-
Feature
19 Apr 2019
Machine learning bots enable immediate paperless workplaces
Document digitization allows for the automatic extraction of data through rapid bot technology, as companies aim for a cost-effective, eco-friendly paperless workplace. Continue Reading
-
Feature
18 Apr 2019
Federated deep learning offers new approach to model training
Training deep learning models puts a massive strain on enterprise infrastructure, but federated learning, which trains models on endpoint devices, could lessen some of the demand. Continue Reading
-
News
17 Apr 2019
Real-time machine learning with Splice Machine's ML Manager
Splice Machine's AI management software ML Manager, shown at Spark + AI Summit 2019, enables users to update their machine learning models with up-to-date data from varied sources. Continue Reading
-
News
02 Apr 2019
Abbyy Vantage eyes easy AI infusion in content automation
The Abbyy Vantage platform aims to enable customers to infuse intelligence skills and automation into their content-based platforms, including RPA and BPA software. Continue Reading
-
News
01 Apr 2019
Tools fill gaps in predictive modeling and machine learning
Machine learning platforms can bring the lone data scientist into the overall workflow. Updates to tooling also let that data scientist use familiar development interfaces. Continue Reading
-
Feature
01 Apr 2019
March Madness analytics, AI help data scientist fill bracket
To create his March Madness bracket predictions, the head of data science at DataRobot uses a host of machine learning algorithms and some predictive analytics. Continue Reading
-
Feature
29 Mar 2019
Data preparation for machine learning still requires humans
Looking to AI to automate more of your processes? Don't overlook the labor that's still needed to prepare data for training machine learning and AI algorithms. Continue Reading
-
Feature
27 Mar 2019
Data science platforms boost automation, collaboration
Data scientists can choose from a growing list of commercial and open source platforms that ease data access, analytics, model building and management in a collaborative way. Continue Reading
-
Feature
25 Mar 2019
Chatbots in banking at Norway's largest financial company
By deploying semantics technology over neural networks, startup Boost.ai has created a conversational AI product that is used by the largest financial services company in Norway. Continue Reading
-
Feature
11 Mar 2019
Arkose Labs puts AI in cybersecurity
Cybersecurity vendor Arkose Labs uses fraud prevention AI to block web-based bots while allowing human users to safely get to the content they want. Continue Reading
-
Feature
08 Mar 2019
Automated machine learning streamlines model building
Automated machine learning leads to faster model building while democratizing use and increasing implementation. Expert Mike Gualtieri answers major questions about the rising tech. Continue Reading
-
Feature
07 Mar 2019
AI in fitness offers virtual trainers and customized wearables
From Fitbits to virtual support, wellness enterprises are positioning AI as a useful tool. Using AI in fitness clubs and products can enhance user comfort and personalization. Continue Reading
-
News
26 Feb 2019
DataRobot AI platform to get boost from Cursor acquisition
The DataRobot acquisition of Cursor will see DataRobot incorporate unified search and data collaboration tools into DataRobot's automated machine learning platform. Continue Reading
-
Feature
28 Jan 2019
Recruiting data scientists for AI and machine learning
When hiring data scientists, be sure to include your data science team in the interview process, and strive to build a data-literate HR department. AI tools may also help. Continue Reading
-
Feature
24 Jan 2019
New deep learning techniques take center stage
The days of simple linear regressions for machine learning are giving way to more powerful deep learning techniques that point the way toward general AI capabilities. Continue Reading
-
Feature
30 Nov 2018
AI use in healthcare ramps up for app maker Cognoa
Applications of AI in healthcare have been relatively restricted due to regulatory and data challenges, but one startup is finding ways to make AI effective. Continue Reading
-
News
14 Nov 2018
An AI project should start with a question, not an insight
Avis' former director of BI and analytics talks about the kind of analytics capabilities and business problems you need to have before launching your next AI project. Continue Reading
-
Feature
05 Nov 2018
AI cybersecurity tools help spot threats before they cause harm
Security pros are increasingly using AI-based cybersecurity tools to stay one step ahead of hackers and minimize vulnerabilities before they can be exploited by bad actors. Continue Reading
-
Feature
11 Oct 2018
On-device AI features make connected tools smarter
As the number of connected devices grows, AI at the edge of networks is increasingly making connected devices smarter, enabling them to take advantage of emerging smart technologies. Continue Reading
-
Feature
09 Oct 2018
The present and future use of AI in healthcare
The use of AI and machine learning in healthcare has already changed the way some clinical and administrative processes are handled, and it could help reinvent how care is provided. Continue Reading
-
Feature
05 Oct 2018
Use of AI in pharma grows as drug-makers see big benefits
The use of AI in clinical trials, drug discovery and manufacturing is growing and, despite a few barriers, drug companies are expected to continue rolling out the technology. Continue Reading
-
News
20 Sep 2018
Credit card giants step up AI fraud detection
While Capital One and Mastercard delve into AI and machine learning to detect credit card fraud, IBM joins the ranks of AI vendors with AI bias detection tools. Continue Reading