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July 18, 2019

Introducing the What-If Tool for Cloud AI Platform Models

As AI models grow in complexity, understanding a model's inner workings makes it possible to explain and interpret outcomes driven by AI.

July 17, 2019

Intel’s Pohoiki Beach, a 64-Chip Neuromorphic System, Delivers Breakthrough Results in Research Tests

What’s New: Today, Intel announced that an 8 million-neuron neuromorphic system comprising 64 Loihi research chips — codenamed Pohoiki Beach — is now available to the broader research community.
July 16, 2019

Intel’s RealSense SR305 Camera is Designed for Low-cost Depth Tracking

The latest addition to the RealSense lineup is available now for $79.

July 15, 2019

Google’s New ‘Data Echoing’ Technique Speeds Up AI Training

The technique reduces the computation used by earlier pipeline stages by reusing intermediate outputs from these stages.

July 11, 2019

Microsoft’s $399 Azure Kinect AI Camera is Now Shipping in the U.S. and China

Earlier this year, at MWC, Microsoft announced the return of its Kinect sensor in the form of an AI developer kit.

July 11, 2019

NVIDIA Breaks Eight AI Performance Records

From 8 hours to 80 seconds: NVIDIA smashes AI training time. Only company to submit across all six categories. You can’t be first if you’re not fast. Inside the world’s top companies, teams of researchers and data scientists are creating ever more complex AI models, which need to be trained, fast. That’s why leadership in AI demands leadership in AI infrastructure. And that’s why the AI training results released today by MLPerf matter.
July 11, 2019

With Google Lens, Things get Strange in Today’s New York Times

Google Lens is available in the Google Assistant on Android, the Google app on iOS, and integrated in the camera app on many Android devices

July 11, 2019

Google Translate’s Instant Camera Translation Gets an Upgrade

The instant camera translation adds support for 60 more languages, such as Arabic, Hindi, Malay, Thai and Vietnamese, for 88 languages total

July 11, 2019

Advancing Semi-supervised Learning with Unsupervised Data Augmentation

Success in deep learning has largely been enabled by algorithmic advancements, parallel processing hardware and large-scale labeled datasets

July 10, 2019

Cloud TPU Pods Break AI Training Records

Google Cloud'ss infrastructure makes it possible for businesses to train state-of-the-art ML models faster, at greater scale and lower cost.