At WIRED's AI Power Summit on Monday, industry executives and officials discussed the impact artificial intelligence is having on every corner of society--and where it goes from here. In an increasingly divided world, one thing that everyone seems to agree on is that artificial intelligence is a hugely disruptive--and sometimes downright destructive--phenomenon. At WIRED's AI Power Summit in New York on Monday, leaders from the worlds of tech, politics, and the media came together to discuss how AI is transforming their intertwined worlds. The Summit included voices from the AI industry, a current US senator, a former Trump administration official, and publishers including WIRED's parent company, Condé Nast. You can view a livestream of the event in full below.

Physically assistive robots in home environments can enhance the autonomy of individuals with impairments, allowing them to regain the ability to conduct self-care and household tasks. Individuals with physical limitations may find existing interfaces challenging to use, highlighting the need for novel interfaces that can effectively support them. In this work, we present insights on the design and evaluation of an active control wearable interface named HAT, Head-Worn Assistive Teleoperation. To tackle challenges in user workload while using such interfaces, we propose and evaluate a shared control algorithm named Driver Assistance. Finally, we introduce the concept of passive control, in which wearable interfaces detect implicit human signals to inform and guide robotic actions during caregiving tasks, with the aim of reducing user workload while potentially preserving the feeling of control.

Donald Trump granted clemency to 237 people during his administration. Some of the pardons--particularly those related to drug offenses--fit within the norms of the office. But a much larger portion were favors done for wealthy people who could access Trump through top-dollar lawyers, golf clubs, rich South Floridian social circles, and family. We revisited these pardons four years later to see what they could tell us about Trump's 2024 campaign. The biggest takeaway had to do with the shadowy political operatives--including Steve Bannon, Michael Flynn, and Roger Stone--who have spent the past four years pushing dangerous and wild election conspiracy theories in hopes they will be rewarded once more.

History is filled with examples of robotic devices designed to reduce, eliminate, or improve upon human labor. From washing machines to roaming vacuum cleaners, various machines have transformed the way we work and live. Today, far more sophisticated service robots are wheeling into the picture, aiming to take humans out of the labor loop and, in the process, improve the speed and efficiency of interactions. They can carry plates between a restaurant kitchen and diners' tables, deliver a toothbrush to someone on the 28th floor of a hotel, and ensure a hospital patient receives her medications on time. They also are adept at stocking shelves, taking orders at a fast food restaurant, and serving as emotional companions.

We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - 28. Join AI and data leaders for insightful talks and exciting networking opportunities. There is an implicit assumption in most analytics solutions: The data analyzed and the insights derived, are almost exclusively quantitative. That is, they refer to numerical data, such as number of customers, sales and so on. But when it comes to customer feedback, perhaps the most important data is qualitative: text contained in sources such as feedback forms and surveys, tickets, chat and email messages. The problem with that data is that, while valuable, they require domain experts and a lot of time to read through and classify.

State evaluation and opponent modelling are important areasto consider when designing game-playing Artificial Intelligence.This paper presents a model for predicting whichplayer will win in the real-time strategy game StarCraft.Model weights are learned from replays using logistic regression.We also present some metrics for estimating player skillwhich can be used a features in the predictive model, includingusing a battle simulation as a baseline to compare playerperformance against.

Robots have plenty of potential to help people with limited mobility, including models that could help the infirm put on clothes. That's a particularly challenging task, however, that requires dexterity, safety and speed. Now, scientists at MIT CSAIL have developed an algorithm that strikes a balance by allowing for non-harmful impacts rather than not permitting any impacts at all as before. Humans are hardwired to accommodate and adjust to other humans, but robots have to learn all that from scratch. For example, it's relatively easy for a person to help someone else dress, as we know instinctively where to hold the clothing item, how people can bend their arms, how cloth reacts and more.

The competitive landscape in the manufacturing sector has changed dramatically in 2020. The commercial aerospace and automotive industries, for instance, have struggled with steep demand declines. But some manufacturers such as ventilator and disinfectant manufacturers, have seen business surge. Against that backdrop is the theme of digital transformation, which has transitioned from eventual necessity to immediate need for many manufacturers. Digital manufacturing technologies, including industrial Internet of Things (IIoT), promise to boost efficiency and agility while protecting workers.

Now that artificial intelligence (AI) has clawed its way into the mainstream, some vendors want us to forget it is there. What really matters, they say, is the end result. Knowing that AI is the reason for the conclusions is a needless distraction, they say. But being distracted may be better in the long run than not being able to judge the validity of the underlying process. If radiologists want to secure a future as key opinion leaders (KOL), they need to take control of AI now.

The lab is directed by Bilge Mutlu, associate professor of computer science, psychology and industrial engineering, and focuses on the study of how humans interact with robots including specialization in human-robot collaboration, robot-mediated communication and designing robot peers for children. The University of Wisconsin-Madison announced on Thursday the creation of its first new school in two decades, responding to high demand from students and a burgeoning need in the state's workforce. The vision for a new School of Computer, Data and Information Sciences reflects a number of forces coming together on the flagship campus. Computer science is now the most popular undergraduate major at the university, growing to 1,560 students in 2018. Over several years, massive increases in student enrollment strained the computer science department's resources. Further, the department had fewer than half the number of faculty found in other top-ranked computer science programs, according to a September 2018 report.