Machine Learning and Artificial Intelligence Sample Clauses

Machine Learning and Artificial Intelligence. You must not use the Adobe Stock SDKs or APIs or the Adobe Stock Works or any title, caption information, keywords, or other metadata associated with the Adobe Stock Works for any (a) machine learning or artificial intelligence training purposes; or (b) technologies designed or intended for the identification of natural persons.
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Machine Learning and Artificial Intelligence. You will not, and will not allow third parties to, use the Adobe Services or Adobe Software (or any content, data, output, or other information received or derived from the Adobe Services or Adobe Software) to directly or indirectly create, train, test, or otherwise improve any machine learning algorithms or artificial intelligence systems, including any architectures, models, or weights, or for any technologies designed or intended for the identification of natural persons.
Machine Learning and Artificial Intelligence. The fact that we are producing more today with less labor than ever before is not a new trend, but one that most experts agree is accelerating, due in no small part to advances in computing, electronics, additive manufacturing, and the relative low cost of these technologies to what they have been in the past. For example, product assembly robotics have been the standard in some industries (automotive, aviation, semiconductor) for decades. Today, this technology has become cost effective for even small manufacturers. Traditionally, we’ve seen productivity gains in overall manufacturing output in the U.S. (and our region) continue to push upwards with just a fraction of jobs required in the past (see chart above). Automation and robotics have played big roles, and will continue, however more structural changes to how work is done will come to other employment sectors such as professional services, hospitality, energy storage, health care, and education via AI (artificial intelligence) and machine learning. And while the convergence of new, often mobile, technology and affordability will create new employment opportunities (for those who have the right training/knowledge/skills), we should expect that entire swaths of employment to be made obsolete at a pace which we’ve not experienced before.

Related to Machine Learning and Artificial Intelligence

  • Background Screening and Security ‌ All Contractor employees and agents performing work under the Contract must comply with all security and other requirements of the Department.

  • Proposed Policies and Procedures Regarding New Online Content and Functionality By November 1, 2017, the College will submit to OCR for its review and approval proposed policies and procedures (“the Plan for New Content”) to ensure that all new, newly-added, or modified online content and functionality will be accessible to people with disabilities as measured by conformance to the Benchmarks for Measuring Accessibility set forth above, except where doing so would impose a fundamental alteration or undue burden. a) When fundamental alteration or undue burden defenses apply, the Plan for New Content will require the College to provide equally effective alternative access. The Plan for New Content will require the College, in providing equally effective alternate access, to take any actions that do not result in a fundamental alteration or undue financial and administrative burdens, but nevertheless ensure that, to the maximum extent possible, individuals with disabilities receive the same benefits or services as their nondisabled peers. To provide equally effective alternate access, alternates are not required to produce the identical result or level of achievement for persons with and without disabilities, but must afford persons with disabilities equal opportunity to obtain the same result, to gain the same benefit, or to reach the same level of achievement, in the most integrated setting appropriate to the person’s needs. b) The Plan for New Content must include sufficient quality assurance procedures, backed by adequate personnel and financial resources, for full implementation. This provision also applies to the College’s online content and functionality developed by, maintained by, or offered through a third-party vendor or by using open sources. c) Within thirty (30) days of receiving OCR’s approval of the Plan for New Content, the College will officially adopt, and fully implement the amended policies and procedures.

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