A San Francisco-based startup called Credo AI is emerging from stealth and helping companies manage the regulatory and ethical risks of their …

A hallmark of artificial intelligence is its ability to learn from the past.

The Virginia Information Technology Agency will soon offer artificial intelligence and machine learning software as a service to its fellow …

Artificial intelligence (AI) has wholly transformed the way employees are recruited, hired, trained, evaluated, and even fired.

A new survey from Gartner found that a majority of CIOs are focusing their investments this year and next year on AI and distributed cloud …

Setting up the Nest Cam is quick and easy in the Google Home app. Setting up the camera took me about five minutes. Plug it into a power outlet, open the Google Home app, and follow the in-app instructions. Drywall anchors, screws, and a base with a built-in mounting bracket are also included in the box. The Google Home app is where you can view and manage notifications, as well as toggle video recordings settings.

Artificial intelligence (AI) is transforming the landscape of 21st century marketing. Long gone are the days of throwing spaghetti on the wall and shooting in the dark to acquire new customers and to regain their business. With the amount of data growing exponentially on a daily basis, AI can help businesses scale their marketing efforts and leverage the data for actionable insights leading to greater ROI. Look up the term "marketing" and you'll find something that mentions actions or activities involving a business or company, promoting or selling products or services. Is that something that you or your company does?

The Pixel 6 and 6 Pro are finally here, and they're the most promising phones from Google in years. We've already seen plenty of pictures and videos of the Pixel 6, but now we actually have devices to play with and detailed specs to share. One of the highlights of the Pixel 6s are the cameras, which not only received a processing boost thanks to Tensor, but also a serious hardware upgrade. Additionally, these handsets bring faster-refreshing screens, Android 12-exclusive features and significant voice recognition enhancements. But the best thing about the Pixel 6 and 6 Pro is the reasonable price.

We explored the impact of AI in the studio, with assisted mixing tools from iZotope, right up to full-on machine learning DAWs that can transfer the style of one producer to another project, among many other things. We'll look at how AI has infiltrated the DJ booth, as well as how hyper-personalised generative music apps could lead to an even-more-siloed listening experience across streaming platforms. It's fair to say contemporary pop music follows a certain formula . Those sometimes predictable patterns make it easier for AI to spot trends and more accurately recreate music. For dance music, those patterns are even clearer, generally following a four-, eight- and sixteen-bar arrangement mould, thanks in part to the modern DAW.

We introduce HUMAN4D, a large and multimodal 4D dataset that contains a variety of human activities simultaneously captured by a professional marker-based MoCap, a volumetric capture and an audio recording system. By capturing 2 female and $2$ male professional actors performing various full-body movements and expressions, HUMAN4D provides a diverse set of motions and poses encountered as part of single- and multi-person daily, physical and social activities (jumping, dancing, etc.), along with multi-RGBD (mRGBD), volumetric and audio data. Despite the existence of multi-view color datasets captured with the use of hardware (HW) synchronization, to the best of our knowledge, HUMAN4D is the first and only public resource that provides volumetric depth maps with high synchronization precision due to the use of intra- and inter-sensor HW-SYNC. Moreover, a spatio-temporally aligned scanned and rigged 3D character complements HUMAN4D to enable joint research on time-varying and high-quality dynamic meshes. We provide evaluation baselines by benchmarking HUMAN4D with state-of-the-art human pose estimation and 3D compression methods. For the former, we apply 2D and 3D pose estimation algorithms both on single- and multi-view data cues. For the latter, we benchmark open-source 3D codecs on volumetric data respecting online volumetric video encoding and steady bit-rates. Furthermore, qualitative and quantitative visual comparison between mesh-based volumetric data reconstructed in different qualities showcases the available options with respect to 4D representations. HUMAN4D is introduced to the computer vision and graphics research communities to enable joint research on spatio-temporally aligned pose, volumetric, mRGBD and audio data cues. The dataset and its code are available https://tofis.github.io/myurls/human4d.