Data
A Safer, Lower-Cost Alternative To Real Data For Pretraining Computer Vision Models
A new tool uses AI and a computer graphics engine to churn out training images tailored for specific AI tasks. Synthetic data are an increasingly popular way of sidestepping the high cost and ethical minefields of learning from real-world examples. A new tool uses AI and a computer graphics engine to churn out training images …
Making Data Visualization More Accessible For Blind And Low-Vision Individuals
Data visualizations on the web are largely inaccessible for blind and low-vision individuals who use screen readers, an assistive technology that reads on-screen elements as text-to-speech. This excludes millions of people from the opportunity to probe and interpret insights that are often presented through charts, such as election results, health statistics, and economic indicators. When …
Huawei Reveals Next-Generation Data Center Facility
Huawei revealed the definition of the Next-Generation Data Center Facility, and unveiled PowerPOD 3.0, a brand-new power supply system, on May 26 in Dongguan, China. The new rollouts, based on the collective wisdom and joint efforts between Huawei Data Center Facility Team and industry experts, reaffirm Huawei’s commitment to building low-carbon, smart data centers. …
Artificial Intelligence Tools In Content Marketing
Within years, the deployment of Artificial Intelligence, also known as AI, to execute human tasks is becoming rampant. To save much time and ensure productivity, humans seek other means of executing difficult tasks without wasting so much effort. In search of a credible solution, we resorted to the adoption and integration of AI technologies. Artificial …
Is AI intrinsically Hyped?
How different would we think about artificial intelligence if AI pioneers Allen Newell and Herbert Simon had won support for the seemingly less hype-prone term of “complex information processing,” rather than “artificial intelligence,” which was ultimately adopted by the field? On the surface, this thought experiment is interesting because it asks if artificial intelligence is …
How AI-Driven Nudges Can Transform An Operation’s Performance
The right advice at just the right moment can make all the difference to employee satisfaction and performance. New AI-driven approaches are making truly personalized, real-time coaching a reality. Great employees are not born. They develop their skills over time, through a combination of on-the-job experience, formal training, coaching, and mentoring—inputs that employers have a high …
How To Use AI To Discover New Drugs And Materials With Limited Data
IBM Research is working on new ways to generate material designs with AI with dozens of examples for the training model, instead of the tens of thousands often required. Over the last few years, we’ve seen that advances in deep-learning Learn about how using generative models to come up with new ideas, we can dramatically accelerate …
How Your Company Catches The AI Wave(s)
Business leaders see much in Artificial Intelligence, including new ways to save money, serve customers, and figure out what to build. What’s often tougher is deciding how to engage. That’s understandable, since getting into AI often raises questions about costs, data integrity, project length, and similar issues of planning and execution. For CIOs concerned with …
The Anatomy Of A Datacenter—How Microsoft’s Datacenter Hardware Powers The Microsoft Cloud
Leading hardware engineering at a company known for its vast portfolio of software applications and systems is not as strange as it sounds, as the Microsoft Cloud depends on hardware as the foundation of trust, reliability, capacity, and performance, to make it possible for Microsoft and our customers to achieve more. The underlying infrastructure that powers …
Can Machine-Learning Models Overcome Biased Datasets?
Artificial intelligence systems may be able to complete tasks quickly, but that doesn’t mean they always do so fairly. If the datasets used to train machine-learning models contain biased data, it is likely the system could exhibit that same bias when it makes decisions in practice. For instance, if a dataset contains mostly images of …