US Immigration USCIS have issued a bunch of policy changes for US visas and Green cards to reduce backlog and faster adjudication, such policy changes include, Biometrics cancellation for 24 months, conducting interviews over phone and even Interview waivers for certain applications. These policy changes may also Reduce rejections due to deference and elimination of prior policy. They are even reusing old biometrics for faster adjudication and simplified the process to reschedule biometric appointments. Rescheduling Biometric Services Appointments by Phone. U.S. Citizenship and Immigration Services announced today that applicants may now call the U.S.C.I.S Contact Center in the following telephone number, (800-375-5283) to reschedule their biometric services appointments scheduled at a U.S.C.I.S Application Support Center. Suspended certain biometrics requirements for 24 months. Starting May 17, 2021, U.S.C.I.S will temporarily suspend the in-person biometrics requirement for H, L and E derivative nonimmigrants, seeking extensions of stay and changes of status in the United States. The policy will remain in place through May 17, 2023, unless extended or revoked. During this time, applicant spouses and children filing Form I-539 for H, L & E derivative status will not be required to attend a biometrics appointment, for the capture of their fingerprints and photo. Expansion of Interview Waiver Eligibility is also applied at the US consulates abroad. Department of Homeland Security, has temporarily expanded the ability of consular officers to waive the in-person interview requirement, for individuals applying for a nonimmigrant visa in the same classification. USCIS has reverted back to the rejection [More]
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Voice recognition, after years of clunky performance, has finally started seeing widespread adoption. How have improvements made it so popular? Squarespace link: Visit and use offer code LINUS to save 10% off your first order. Follow: Join the community:
Daniel Kahneman is winner of the Nobel Prize in economics for his integration of economic science with the psychology of human behavior, judgment and decision-making. He is the author of the popular book “Thinking, Fast and Slow” that summarizes in an accessible way his research of several decades, often in collaboration with Amos Tversky, on cognitive biases, prospect theory, and happiness. The central thesis of this work is a dichotomy between two modes of thought: “System 1” is fast, instinctive and emotional; “System 2” is slower, more deliberative, and more logical. The book delineates cognitive biases associated with each type of thinking. This conversation is part of the Artificial Intelligence podcast. This conversation was recorded in the summer of 2019. This episode is presented by Cash App. Download it & use code “LexPodcast”: Cash App (App Store): Cash App (Google Play): INFO: Podcast website: Apple Podcasts: Spotify: RSS: Full episodes playlist: Clips playlist: EPISODE LINKS: Thinking Fast and Slow (book): OUTLINE: 0:00 – Introduction 2:36 – Lessons about human behavior from WWII 8:19 – System 1 and system 2: thinking fast and slow 15:17 – Deep learning 30:01 – How hard is autonomous driving? 35:59 – Explainability in AI and humans 40:08 – Experiencing self and the remembering self 51:58 – Man’s Search for Meaning by Viktor Frankl 54:46 – How much of human behavior can we study in the lab? 57:57 – Collaboration 1:01:09 – Replication crisis in psychology 1:09:28 [More]
Biometric scanners seem like a futuristic idea to many of us, but they’re becoming much more prevalent in our day to day activities… Sponsor message: Join Dollar Shave Club at Dollar Shave Club delivers high quality shaving products and other bathroom supplies to your door every month for less than the cost of buying your razors from the store! Join now and start shaving time and shaving money!
“Deep Learning” is an area in artificial intelligence research and design where a “ton of breakthroughs are happening right now,” says Fast.AI co-founder Rachel Thomas. Fast.AI’s mission in the AI space is to make Deep Learning more accessible to more people. Where before, you’d need graduate-to-Ph.D.-level work in math just to understand what’s going on, now Fast.AI’s course ware makes Deep Learning techniques available to everyday coders. In the last five to six years, Deep Learning has become a hot topic. Technically, Deep Learning is like any other kind of AI, in that it makes your computer behave intelligently. This has been around for decades. The difference is, in the last few years, it’s started to take off as sub-field of its own. Deep Learning algorithms mimic neural networks in the brain. And the technology is improving exponentially every year, exceeding human intelligence in some cases. By Deep Learning,” Fast.AI co-founders Rachel Thomas and Jeremy Howard are referring to a very specific class of algorithms applied to specific problems, for example, transcribing speech to text. Fundamentally, Fast.AI is an education company. The course offered is free. The goal is to help companies train the smart employees they already have to utilize Deep Learning technology.
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