Sentences with phrase «on machine learning software»

After all, Tesla's autonomous vehicles are inherently dependent on machine learning software.

Not exact matches

Now a software engineer for Google, Gershtein works on projects such as Smart Reply, an email feature that uses machine learning to send automated replies; and Save to Inbox, an extension that lets users send what they're watching, reading, or listening to directly to their inbox so they can easily access it later.

The software, part of a project dubbed Chronicle, uses machine learning to filter out false alarms so that technicians can concentrate on only the most important warnings.

Less obvious, we believe, are the opportunities emerging for enterprise software - as - a-service (SaaS) application companies as machine learning advances and as customers embrace SaaS deployment models over more cumbersome «on - premise» technology deployments (meaning those installed in an enterprise's data center).

In contrast with traditional cyber-security approaches like anti-virus software, the new methodology is not based on hand - engineered signatures, but rather machine learning in which programs can access and use the data and learn for themselves.

The group relied heavily on machine learning, a type of programming that delivers data by example rather than by instruction and that is widely used in speech - recognition software and Internet search engines.

This software is based on machine - learning techniques similar to those the researchers developed to write their bogus evaluations.

Scheduled for several forthcoming trials, the tool relies on thermal signatures and machine learning software.

On top of its signature easy to use interface and robust tax help, TurboTax enhanced the software with some basic machine learning and the option to have your tax reviewed by CPA.

And while thinking about all of this a colleague * was kind enough to send around a link to a recent post by Brian Sheppard over on the Legal Rebels blog called, «Does machine - learning - powered software make good research decisions?

Diligen's software is built on machine learning to help lawyers review contracts faster, find relevant provisions and produce contract summaries — instantly.

* According to a recent article, Jackson is an expert in «information retrieval (search), document categorization (automated indexing of content), machine learning (the design of algorithms that enable software to learn from and make decisions based on data patterns), and natural language processing (in which software can summarize content, convert computer language into human language and vice versa, or make a computer speak with human tones).»

As with other legal AI companies in the document review space, they have developed their own natural language processing (NLP) and machine learning software with a focus on contract analysis and extraction of key clauses.

And that's before we start to venture into the territory of the top end of eDiscovery software and the vendors supplying predictive coding systems based on NLP and machine learning.

In eDiscovery, discussions about «artificial intelligence» generally focus on predictive coding — the machine learning process that reduces the time human reviewers must spend reading non-relevant information — by teaching the software to analyse periodic human feedback, learn for itself what information reviewers are actually interested in, and then locate that information.

The Predictive Discovery technology builds upon the company's large patent portfolio of machine - learning and classification software and leadership in helping develop The Sedona Conference guidance on search, statistics and quality.

Based on cutting - edge machine learning technology developed at Columbia University, eBrevia's software helps attorneys and other professionals review contracts significantly more accurately and efficiently.

ASC Networks Inc. (ASC), a leading provider of SaaS and on - premises contract, document, form and CPQ lifecycle management and source - to - contract solutions, announced today that its customers can seamlessly leverage LegalSifter's comprehensive natural language processing and machine learning intelligence software and services to extract and load contracts.

The software will allow faster machine learning as it will place more processing speed on procedures, which involves analysis of big data, voice recognition, and photo identification.

This means that the software relies on machine learning and algorithms to improve the quality of your images.

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.

Instead of relying on image data from two camera sensors, software depth of field filters and adjustment sliders use machine learning, computational photography, and algorithms to approximate bokeh effects.

Machine learning on the Snapdragon 845 will allow users to take bokeh photos using only one camera, rather than using two cameras found on smartphones like the iPhone X. Qualcomm said at its event that AI software, hardware, and services will total $ 160 billion in total revenue by 2025.

It sports a HiSilicon Kirin 970 system - on - chip, which has a dedicated Neural Processing Unit (NPU) that accelerates machine learning software like the camera application's Real - Time Scene and Object Recognition, which identifies different subjects and environments.

On the software side, Google unveiled new Assistant features, as well as advancements in machine learning and artificial intelligence that seem to eclipse anything Apple is doing right now — though Apple isn't that forthcoming with its AI and ML efforts just yet.

Like Alexa, Assistant and Siri, Bixby is built on advance new machine learning software.

Finally, Google says that TensorFlow Lite (a more compact version of its open source machine learning software library) will be available on Android phones later this year.

Bloq, a Chicago - headquartered enterprise software company focused on building and scaling blockchain networks for global companies has today announced the acquisition of Skry, a pioneer in blockchain analytics, to enhance its suite of analysis tools and position the firm to maximize the value of blockchain data sets through artificial intelligence and machine learning.

The app is baked with Google's machine learning software that ensures it gets better at serving you as you keep on interacting with it.

Google is able to take such fantastic photos on the Pixel 2 because of a fine - tuned mix of physical hardware (camera lens and sensor), software (enabling HDR +), and machine learning.

That means each pixel on the 12 - megapixel sensor is split between left and right to capture a slightly different perspective, which allows the machine - learning controlled camera software to get a better sense of the depth and improve autofocus capabilities.

Another interesting addition is a neural software framework that now features Google's TensorFlow library, enabling manufacturers that rely on machine learning to build better experiences when it comes to photography, security, personal assistants, and virtual reality.

A challenging position for development projects in the field of Big data infrastructure & ETL pipelines, Machine Learning (Deep learning), Natural Language Processing, Data mining & Analytics, Machine Translation which builds upon my 24 years of software development experience on Windows / Mac / Linux by using Python, C / C + +, Scala, JAVA, Javascript, AJAX, JSON, SQL, NoSQL, Cloud (Docker), Machine learning, Keras, TensoLearning (Deep learning), Natural Language Processing, Data mining & Analytics, Machine Translation which builds upon my 24 years of software development experience on Windows / Mac / Linux by using Python, C / C + +, Scala, JAVA, Javascript, AJAX, JSON, SQL, NoSQL, Cloud (Docker), Machine learning, Keras, Tensolearning), Natural Language Processing, Data mining & Analytics, Machine Translation which builds upon my 24 years of software development experience on Windows / Mac / Linux by using Python, C / C + +, Scala, JAVA, Javascript, AJAX, JSON, SQL, NoSQL, Cloud (Docker), Machine learning, Keras, Tensolearning, Keras, Tensorflow...