Sentences with phrase «machine learning devices»

Not exact matches

Machine learning algorithms can help robots learn to better navigate space (think self driving cars), and can be incorporated into robotic devices such as bionic eyes.

Shankar Chandran is Managing Director and Head of Samsung Catalyst, Samsung Electronics» early - stage venture capital investment fund focused on core technology areas including smart machines, Internet of Things, smart health, deep learning / AI, cloud infrastructure and device level technologies.

Announced in private preview at RSNA, Project InnerEye uses state - of - the - art machine learning and computer vision to turn medical images into measurement devices, to amplify a clinician's ability to personalize treatment, spend more time with their patients, and for hospitals to save costs.

Shankar Chandran is Managing Director and Head of the Samsung Catalyst Fund (SCF), Samsung Electronics» early - stage venture capital investment fund focused on core technology areas including smart machines, Internet of Things, smart health, deep learning / AI, cloud infrastructure and device level technologies.

As Google's X Lab embedded machine learning and artificial intelligence in the balloon's software, the device is able to crunch wind data and pair it with its own flight schedule.

Three University of Alberta researchers — Drs. Lynn McMullen (food microbiology), Linda Pilarski (oncology / device development), and Patrick Pilarski (medicine / machine learning)-- are developing a miniaturized device that can process samples within a few hours.

He is currently Chairman of the Board of Pivot 88 a Hong Kong based SAAS company, Keatext an AI - driven text analytics Montreal - based SAAS company and Carré Technologies specializing in signal processing and machine learning algorithms for wearable devices in health care environments.

This includes the areas of machine learning, IoT and mobility as more customers use small hand - held devices.

By engaging in hands - on activities, children will learn how engineers apply their scientific and technical knowledge to design fascinating machines and devices.

As I admired the gilded allegorical ceiling panels representing science and excellence, I couldn't help thinking, corny as it may sound, that the building's namesake — whose innovative experiments included, along with the Declaration of Independence, an improved plow, a portable copying machine, an encryption device, and an outstanding institution of learning (the University of Virginia), and who sent Lewis and Clark on one of history's most daring research expeditions — would have approved of this educational effort, too.

Lehto's detailed chronology of «individual lift devices» is on the dry side, but you learn the sober truth about why these machines never took off: Flight times were measured in seconds rather than minutes; the devices often cost as much as a luxury car; and there was no elegant solution for a malfunctioning jetpack in midair.

«This research is relevant to the role of robotics and brain - machine interfaces as assistive devices, but also speaks to the ability of the brain to learn to function in new ways.

The other team employed a new 3D sensor and computer algorithms on a tablet computer and machine learning — a type of artificial intelligence — for the first time allowing surgeons to precisely measure the area, depth, and tissue type of chronic wounds with a mobile device.

Funded by a Google Faculty Research Award, specialists in computer vision and machine learning based at the University of Lincoln, UK, are aiming to embed a smart vision system in mobile devices to help people with sight problems navigate unfamiliar indoor environments.

Using what are called brain — machine interfaces (BMIs)-- essentially cyborg connections between prosthetic devices and the nervous system — researchers for the first time were able to show that the process of learning to use a BMI - controlled device can trigger significant neurological recovery in patients with chronic spinal cord injuries.

In their next steps, the researchers are undertaking the VITAL 2.0 study to determine if the VIPS device can use complex machine learning algorithms to teach itself how to discriminate between minor and severe stroke without the help of neurologists.

The devices are being programmed to improve accuracy through machine learning, allowing the researchers to increase the accuracy of their monitoring with each use.

Next, the researchers hope to harness the power of machine learning to train these devices to grasp objects of varying size, shape, surface texture, and temperature.

When coupled with deep neural networks — a type of machine - learning algorithm that has demonstrated high accuracy in performing pattern and image recognition — the devices would be able to provide continuous data collection to detect irregular heart rhythms.

It's an Alexa - enabled device equipped with a depth - sensing camera and LED lighting that will take pictures of your outfit, via voice command, and offer fashion advice through style - trained machine learning algorithms.

The audio analysis system is said to employ machine learning so as to «get smarter over time,» and all of the data gathered by the devices will be open source and publicly available for study, with the aim of contributing to the global work being done on colony collapse disorder (CCD), pesticide exposure, and bee colony health.

Kyle's experience involves a wide range of technologies, including computer systems, computer software applications, communication networks, electronic test equipment, data storage systems, semiconductor devices, integrated circuit process technology, satellite television systems, online marketplace systems, enterprise resource planning systems, database systems, machine learning systems, and mechanical devices.

Huawei even claims that its machine learning algorithms will keep the device that way over the long run, going so far as to suggest it will speed up over time rather than slow down, as most Android smartphones do.

Using machine learning to classify device types, this prototype smartphone is able to precisely toggle the corresponding apps by simply tapping on a slew of connected devices: Refrigerator, TV, thermostat, coffee machine, smart door lock, router, Phillips Hue LED bulbs, projector and more.

Machine learning typically runs on low - end devices, and breaks a problem down into parts.

For what it's worth, Google says none of the audio or data ever leaves your phone, and it's powered by machine learning processes right on the device.

Using 3D sensors and machine learning, the device promises to help you keep a close eye on your family with a bunch of smart features.

But the difference is that Album + organizes and ranks photos using on - device, offline machine learning — there's no need to connect with the cloud, that is.

Nov. 20, 2012: Beware Card - and Cash - trapping at the ATM... Many security - savvy readers of this blog have learned to be vigilant against ATM card skimmers and hidden devices that can record you entering your PIN at the cash machine.

The Mate 9 was built smart, with a machine learning algorithm designed to improve device performance over time.

Deep neural net - based machine learning algorithms to process messages from voice - based devices to understand end - user input and take action;

«We're excited to be collaborating with Microsoft on the Windows ML platform, and helping developers accelerate on - device AI performance on Windows laptops with the Snapdragon 835 AI Engine,» said Gary Brotman, Qualcomm's Director of Product Management in the company's Machine Learning division.

For Apple, machine learning is going to be bigger on iOS 11, especially on device machine learning.

Apple says this machine learning will take place locally on the device and uses their «custom silicon and tight integration of hardware and software» to ensure a powerful performance, while protecting user privacy.

In fact, none of Google's new products are all that interesting on the surface, but what's inside is leaps and bounds ahead of what Apple is doing with Siri and iPhone X. It's about smarts, and Google has integrated Google Assistant and machine learning into every one of its devices in a, dare I say it, Apple - like way.

That's Google's strength — machine learning and artificial intelligence, and they're a big part of the new devices it unveiled on Oct. 4, including the Pixel 2 and Pixel 2 XL, the Google Clips camera, a new Pixelbook, and more.

(The technical name for this is TensorFlow Lite, which puts machine learning tasks on the phone, so the device can instantly take care of the job in real time, rather than ping the cloud and wait for a response.)

Looking ahead, HUAWEI expects to spur continued growth as the company pushes its devices further through innovations in artificial intelligence and machine learning that will drive the new «smart era» forward.

To this extent, the Pixel 2 XL (and the smaller Pixel 2, which I'll review soon) are victims of Google's success at creating a cloud - first, machine - learning platform that spans #MadeByGoogle devices.

Developers that used Apple's new machine learning tools would be able to execute their use with «tremendous performance on - device,» he said, and have access to «all the data privacy benefits and all of the carefully tuned compatibility with all of our platforms.»

Machine Learning • Core machine learning technologies that apps from the App Store can use to deliver intelligent features with machine learning data processed on device for high performance and user Machine Learning • Core machine learning technologies that apps from the App Store can use to deliver intelligent features with machine learning data processed on device for high performance and userLearning • Core machine learning technologies that apps from the App Store can use to deliver intelligent features with machine learning data processed on device for high performance and user machine learning technologies that apps from the App Store can use to deliver intelligent features with machine learning data processed on device for high performance and userlearning technologies that apps from the App Store can use to deliver intelligent features with machine learning data processed on device for high performance and user machine learning data processed on device for high performance and userlearning data processed on device for high performance and user privacy

It also has some under - the - hood additions that include some on - device machine learning features.

Of course, the one thread common to all the hardware is the inclusion of Google Assistant, which will be present on all the devices, except the Google Clips camera, though this does have a machine learning element in it.

In O, on - device machine learning can automatically select phrases, names, addresses and phone numbers by double - tapping anywhere the item.

Thanks to on - device machine learning, Smart Text Selection makes highlighting text faster by automatically grouping words that belong together, while providing suggestions to open URLs, phone numbers, and addresses in the appropriate app.

The software has a feature that will let you use your device as a virtual touchpad and keyboard for a PC, and they will also support Android's neural network API to let developers make full use of hardware acceleration for machine learning applications.

It's designed for mid-range devices and comes with a number of improvements over its predecessor, complete with some new hardware and tools to support the growing market for machine learning and AI applications.

Google Assistant is getting into all parts of Google's device, expanding its feature set and powers with machine learning and AI taking over the world.

The latest update comes with a new Neural Networks API designed to accelerate on - device machine learning intelligence.

Android 8.1 added a Neural Network API to accelerate on - device machine learning, with P supporting nine new ops, while the Pixel 2 gains a Qualcomm Hexagon HVX driver with acceleration for quantized models.