In the News
How AI is Reinventing What Computers Are
Three key ways artificial intelligence is changing what it means to compute.
Fall 2021: the season of pumpkins, pecan pies, and peachy new phones. Every year, right on cue, Apple, Samsung, Google, and others drop their latest releases. These fixtures in the consumer tech calendar no longer inspire the surprise and wonder of those heady early days. But behind all the marketing glitz, there’s something remarkable going on.
A complete, intelligent ERP system with embedded AI and machine learning.
With Intelligent ERP from SAP, your entire business has complete visibility to work as one. From sales to HR, from finance to procurement. So, you can all share one vision, one plan, and one purpose. Because together works.
In The News
Inside the Facebook Papers
A WIRED series dives into thousands of internal documents, showing a company rife with issues that it largely failed to address.
People Aren’t Meant to Talk This Much
It’s long past time to question a fundamental premise of online life: What if people shouldn’t be able to say so much, and to so many, so often? Even the capacity to respond to a Facebook post, Twitter DM, Slack message, or other online matter with likes, emotes, or emoji constrains what people can...
Top 10 Artificial Intelligence Technologies
Analytics insight reviews a dataset based on what researchers were studying hence has listed the top ten Artificial intelligence technologies set to take the world to the next level of innovation. With the help of algorithms, Application programming interfaces, development, training tools, big data,...
Applied use cases
Artificial Intelligence in Psychiatry Has Promise and Peril
— It may help in assessing things like suicide risk, but its use raises informed consent issues
Artificial intelligence (AI) has great potential for forensic psychiatry but can also bring moral hazard, said Richard Cockerill, MD, assistant professor of psychiatry at Northwestern University Feinberg School of Medicine in Chicago, Saturday at the American Academy of Psychiatry and the Law annual meeting.
Saving seaweed with machine learning
The program encouraged collaborative research projects focused on the health of the planet. “Our project is to develop a low-cost device that can detect and prevent diseases before they affect seaweed or livestock by monitoring the microbiome of the environment,” says Xia. To figure out how to...
How Does Alibaba Use Artificial Intelligence and Machine Learning?
It invests a great deal in artificial intelligence and machine learning to upscale its business to heights. Alibaba also has seven research labs to focus on artificial intelligence, machine learning, natural language processing, and network security. Let’s see how artificial intelligence has...
Discover The Essentials State of AI Report Q2
After thoroughly analyzing industry trends and our engagement data, we’ve gathered valuable insights on the topic of Artificial Intelligence. Stay tuned for the best articles from leading industry experts as we bring you our first-ever State of AI Report for Q2 from our sister newsletter, AI Essentials.
Enabling End-User Agency and Trust in Artificial Intelligence Systems
This is why The IEEE Trust and Agency in AIS Committee (created as a committee of The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems) was formed. As we navigate the transitional AIS innovation phase, understanding and critical discussion of the role and interplay of end-user...
Decoding AI: The Science, Policies, Applications, and Ethics of Artificial Intelligence
Harvard Radcliffe Institute gratefully acknowledges the following funds that are supporting this event: Ardis Butler James Fund for Science Melanie Mason and David W. Niemiec Fund for Science Melanie Mason Niemiec ’71 Current-Use Fund for Science Schedule Fernanda Viégas, principal scientist,...
AI made in Europe: empowering and protecting the public and businesses
Draft programme EESC Premises - Interpretation: EN – FR 9:30 Introduction by moderator: Vivienne Parry 9:30 – 9:35 Opening remarks Louise Grabo, DSMO president, EESC Dragoş TUDORACHE, AIDA chair, European Parliament 9:35 – 10:35 Panel session: AI MADE IN EUROPE - WHERE WE ARE? Lucilla Sioli,...
Groups Find Hospitality Robots Easier to Use and Interact With Them More than Individuals
Finally, they coded the number of times and different ways participants interacted with Pepper: stop and observe, verbal interactions, non-verbal interactions, ignore Pepper–prompted, and ignore Pepper–not prompted (See Table 1 for all variable definitions). Technology Acceptance Model To evaluate...
TUM Autonomous Motorsport Victorious at the Indy Autonomous Challenge
TUM Autonomous Motorsport from the Technical University of Munich (TUM) won the Indy Autonomous Challenge (IAC), the first autonomous racecar competition at the Indianapolis Motor Speedway (IMS). Fastest Lap The Rules of the IAC competition required each team to compete in a fastest lap competition...
TurtleBot 4 : Your weekly selection of awesome robot videos
It includes group autonomous operation with a 'leader', the movement of a group of self-driving tractors on non-public roads, the autonomous movement of a robo-tractor paired with a combine harvester not equipped with an autonomous control system, and the use of an expanded set of farm implements...
End-to-end learning of multiple sequence alignments with differentiable Smith-Waterman
In summary, we present the deepest proteome characterization wiring multiple sampling sites in HNC, thus providing a promising basis for understanding tumoral biology and identifying metastasis-associated signatures. The effect of these compounds on NK killing efficiency was examined with real-time...
Hierarchical Skills for Efficient Exploration
Abstract In reinforcement learning, pre-trained low-level skills have the potential to greatly facilitate exploration. However, prior knowledge of the downstream task is required to strike the right balance between generality (fine-grained control) and specificity (faster learning) in skill...
Just Ask for Generalization
We could then train a feedforward policy that maps the states to the oracle actions, and benefit from all the nice properties that supervised learning methods enjoy: stable training, large batches, diverse offline datasets, no need to interact with the environment. If supervised behavior cloning on...