Artificial Inteligence feed

The need for speed will boost enterprise CIOs' adoption of robotic process automation (RPA) amid economic turbulence in 2023.

High-performance AI infrastructure offers CIOs and enterprises a way to cost-effectively manage and accelerate growth of production AI.

Today the National Institute of Standards and Technology (NIST) released the first version of its new AI Risk Management Framework.

Atera announced that it is integrating OpenAI Codex with its RMM platform, to help users automatically generate scripts to execute processes.

AI is booming, but a new ACM brief says ubiquity of algorithmic systems “creates serious risks that are not being adequately addressed.” 

Federated learning can elevate AI. By securing model training, it unlocks a myriad of use cases that can change the world as we know it.

Getting a handle on serious operational bottlenecks are key to maintaining growth and innovation in the current economic environment.

New generative AI options integrating tools like GPT-3 and DALL-E can deck out your slide deck and make storytelling less of a slog.

Fiverr is turning to AI, today introducing new categories to its freelance marketplace to help businesses find the AI talent they need.

Computer scientists want to know the exact limits in our ability to clean up, and reconstruct, partly blurred images.

Communications is so much more than automated content production. It is connection; human relationships. ChatGPT can't replace that (yet).

The current gold rush to capitalize on generative AI is, ultimately, about financial gain. Let's not forget the human toll.

We're happy to announce that OpenAI and Microsoft are extending our partnership. This multi-year, multi-billion dollar investment from Microsoft follows their previous investments in 2019 and 2021, and will allow us to continue our independent research and develop AI that is increasingly safe, useful, and powerful. In pursuit

Deep-learning model takes a personalized approach to assessing each patient’s risk of lung cancer based on CT scans.

A new experiential learning opportunity challenges undergraduates across the Greater Boston area to apply their AI skills to a range of industry projects.

New fellows are working on health records, robot control, pandemic preparedness, brain injuries, and more.

AeroAstro major and accomplished tuba player Frederick Ajisafe relishes the community he has found in the MIT Wind Ensemble.

OpenAI researchers collaborated with Georgetown University’s Center for Security and Emerging Technology and the Stanford Internet Observatory to investigate how large language models might be misused for disinformation purposes. The collaboration included an October 2021 workshop bringing together 30 disinformation researchers, machine learning experts, and policy analysts, and

MIT researchers developed and studied a customized AI training program for users with varied backgrounds, which could be delivered across large organizations.

Stefanie Jegelka seeks to understand how machine-learning models behave, to help researchers build more robust models for applications in biology, computer vision, optimization, and more.