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Ancestry company uses deepfakes to bring old photos of your great grandma to life


While some companies are fighting nefarious uses of deepfakes, others are embracing the technology for more playful reasons. With our new Deep Nostalgia, you can see how a person from an old photo could have moved and looked if they were captured on video! MyHeritage, a family ancestry company that offers DNA testing much like 23andMe, has unveiled a new AI-powered tool called " Deep Nostalgia." The technology takes your old photos and animates the people in them, producing a full fledged moving picture kind of like the iPhone's Live Photos. To create this completely automated tool, MyHeritage partnered with a company called D-ID, which has written an algorithm that creates these animated videos out of old images.

A better intelligence test for autonomous driving systems


In 2015, Elon Musk guessed that the industry should expect fully autonomous vehicles by 2018--but that never happened. In 2014, Nissan promised multiple, commercially viable driverless vehicles on the market by 2020. While the COVID-19 pandemic did not help the situation, this is another unmet promise. Why do auto manufacturers have to keep moving the goalposts on driverless vehicles? According to a research paper recently published in Nature Communications by the Center for Connected and Automated Transportation (CCAT), one of the obstacles that has hindered the development of autonomous vehicles comes down to a severe inefficiency in the way autonomous vehicle testing and evaluation is performed.

Responsible AI and Government: High Time to Open Discussions?


Recently, Gartner released a series of Predicts 2021 research reports, including one that highlights the serious, wide-reaching ethical and social problems it predicts artificial intelligence (AI) to cause in the next several years. The race to digital transformation and abundance of data has coerced companies to invest in artificial intelligence technologies. And with that, the concept of leveraging responsible AI took central stage in discussions between government, enterprises and other tech purists and critics. A quick search trends shows that the words like "Ethical AI", and "Responsible AI" have gained popularity in the past five years. But what is the reason behind it? Currently, presence of bias in training data for artificial intelligence models and lack of transparency (black box) threaten the possibility of using AI for good.

The Power of Leaders Who Focus on Solving Problems


In front of a packed room of MIT students and alumni, Vivienne Ming is holding forth in a style all her own. "Embrace cyborgs," she calls out, as she clicks to a slide that raises eyebrows even in this tech-smitten crowd. Fifteen to 25 years from now, cognitive neuroprosthetics will fundamentally change the definition of what it means to be human." She's referring to the work that interests her most these days, as cofounder of machine learning company Socos and a visiting scholar at UC Berkeley's Center for Theoretical Neuroscience. If you're curious, the answer is unambiguously yes.") But the talk has covered a lot more than this, as Ming has touched on many initiatives and startups she's been involved with, all solving problems at the intersection of advanced technology, learning, and labor economics.

Machine learning could aid mental health diagnoses: Study


Washington [US], February 28 (ANI): In order to accurately identify patients with a mix of psychotic and depressive symptoms, researchers from the University of Birmingham recently developed a way of using machine learning to do so. The findings of the research were published in the journal'Schizophrenia Bulletin'. Patients with depression or psychosis rarely experience symptoms of purely one or the other illness. Historically, this has meant that mental health clinicians give a diagnosis of a'primary' illness, but with secondary symptoms. Making an accurate diagnosis is a big challenge for clinicians and diagnoses often do not accurately reflect the complexity of individual experience or indeed neurobiology.

How Does AI in Retail Marketing and eCommerce Work?


AI was just a philosophical concept until the late 20th century when researchers introduced methodologies to make it real. AI has been around in retail marketing, mostly to reduce the tedious work of remembering all the finances. Traditional shops used to maintain a list of loyal customers too. Shops were on their way to going digital long before the pandemic, but the sudden shift to online buying and increased digital transactions caught many by surprise. The physical retail stores experienced most of the trauma. The pandemic disrupted the supply chains from all over the world.

HealthTech #4. The commoditization of genome sequencing and the opportunities for prevention


The mass affordability of sequencing enables a paradigm shift from sequencing only those with risk factors (such as someone's family history or medical symptoms) to sequencing proactively to identify risk factors. It will allow every individual to build up genomic data capital, opening the door for new applications and business models across health insurance, care delivery, and everyday life. New approvals & patents - Ava, a Swiss digital healthcare company focused on women's reproductive health, announced that the United States Food and Drug Administration (FDA) clearance for its fertility tracking wearable. BrainQ, an Israeli start-up, announced that the FDA has designated its AI-powered electromagnetic field therapy that aims to enhance recovery and reduce disability after neurological damage caused by stroke as a Breakthrough Device, giving access to the new Medicare Coverage of Innovative Technology (MCIT) pathway. Voluntis (French DTx) announced the issuance of a new patent by the European Patent Office (EPO) for intelligent patient support in drug dosing applied in the field of diabetes for insulin titration support.

Why AI Needs the Human Touch in the Post-COVID Service World - insideBIGDATA


In this contributed article, Nic Ray, CEO of BrandsEye, observes that in a post-Covid world, organizations will need to ensure they are using tools that allow them to go beyond simple keyword matching to find the customer conversation that matters. Digital service should by no means spell the demise of the human touch, on the contrary, it reminds us of its importance.

Sponsored post: Automation and AI are changing business: Will you iterate or innovate?


If 2020 was the year that forced the acceleration of digital transformation, this year will be the year that tests which companies can reimagine the new rules of business and find opportunities to innovate. Atop the list of technologies driving this change are artificial intelligence (AI) and automation, which together enable companies to accelerate productivity and augment customer and employee experiences. While most get that AI and automation are keys to future scale and optimization, many don't realize the potential to reimagine the future of work and business through operational and business model innovation. While some companies are using technology to incrementally make existing systems and processes more efficient, others are finding ways to introduce entirely new customer and employee experiences that unlock new business value. With this vision, businesses can alter their trajectory and explore the art of the possible.

Global Artificial Intelligence for Healthcare Applications Market : Intel, Nvidia, Google, IBM, Microsoft, General Vision, Enlitic, Next IT, Welltok, Icarbonx, etc. – The Bisouv Network


The Global Artificial Intelligence for Healthcare Applications market report enumerates highly classified information portfolios encompassing multi-faceted industrial developments with vivid references of market share, size, revenue predictions along with overall regional outlook. The report illustrates a highly dependable overview of the competition isle, with detailed assessment of business verticals. Post a systematic research initiative and subsequent evaluation overview, the global Artificial Intelligence for Healthcare Applications market mimicking its past growth performance is anticipated to strike a flourishing ROI and is therefore more likely to be on the favorable growth curve in the coming years. This versatile report describing the global Artificial Intelligence for Healthcare Applications market has entailed a range of information portfolios that have been segregated into indispensable and additional information streams that have been represented in the form of tables, pie-charts, graphs and the like to align with maximum reader understanding.