The latest advancements in Artificial Intelligence have been much tremendous and inspiring. It has become a part of everyday life for almost all consumers. In a large range of domains, the technology has transformed the way humans work and live. From smart home devices like Alexa, Siri, among others to large scale data security and fraud detection, all are inspired by and relied on AI. Despite this, there is still a large gap between current AI systems and human-like intelligence. Over time, the human brain has developed and advanced in order to respond to survival instincts, harness intellectual curiosity, and achieve demands of nature.

Hinge is going to give people in the US a $100 Visa online gift card to go on date, a decision that'll presumably encourage them to schedule plans while also helping the company market itself and grow. The dating app previously partnered with bars to give its daters discounts, but this is the first time the company has given people what essentially amounts to cash. The company has $25,000, or enough money for 250 daters, set aside for the promotion. To qualify, Hinge users have to pause their accounts from 4PM ET on Friday, March 6th until 4PM ET on Saturday, March 7th. After reactivating, people have to click on their date's profile and select that they "met," which tells the app that they met in-person and prompts it to ask whether this is the type of person this dater would want to see again.

With all of Italy in quarantine because of the COVID-19 coronavirus outbreak, a digital health based startup, has joined with medical experts to create a chatbot that diagnoses the disease. Italy's government has put the country's entire population of around 60 million in quarantine and imposed measures such as bans on public gatherings and travel restrictions to try and contain the virus. The startup, Paginemediche, has created the tool to support the health emergency efforts by providing an online triage in infection diagnostics. Paginemediche is a digital health firm from Healthware's portfolio of companies, and its chatbot was designed under the medical supervision of Dr Emanuele Urbani, a general practitioner in Milan. It was developed on the basis of the guidelines set out by the Italian Ministry of Health and used as a support for telephone triage to highlight potential coronavirus cases.

SAN FRANCISCO/NEW YORK – Bill Gates is stepping down from the board of Microsoft Corp., the company he co-founded in 1975 and built into the world's largest software maker, to devote more time to philanthropy. Gates, 64, has been scaling back his involvement in the company for more than a decade. Most recently he had been serving as an adviser to current Chief Executive Officer Satya Nadella on technology areas including productivity, health software and artificial intelligence, and he will continue to do so."Microsoft "I feel more optimistic than ever about the progress the company is making and how it can continue to benefit the world." Gates hasn't been active in a day-to-day role since 2008, Microsoft said in a statement.

Scientists at the University of Chicago are developing a machine learning system that can automatically transcribe text found on ancient clay tablets. The DeepScribe system will initially focus on transcribing the Cuneiform writing system used in the ancient Iranian Achaemenid Empire (550–330 BC), the University of Chicago News reports. Existing computer systems struggle to translate this script, due to its complex characters and the 3D form of the tablets on which they're written. The team of researchers from the University of Chicago's Oriental Institute and its Department of Computer Science thinks their system could do better. To build the model, they're training it on more than 6,000 annotated images from the Persepolis Fortification Archive.

One hundred years ago, the state of the art in finding antibiotics was epitomized by the playful explorations of Alexander Fleming, the Scotsman who discovered penicillin. "I play with microbes," Fleming is quoted as having said. "It is very pleasant to break the rules and to be able to find something nobody had thought of." Today's research in antibiotics is conducted somewhat more mechanically, perhaps, but it's still important to break the rules sometimes, to look where one might not otherwise. Scientists at the Massachusetts Institute of Technology and Harvard last month described in the scholarly journal Cell how they used a deep learning neural network to identify a molecular compound that's different from most antibiotics.

Deepfakes continue to arouse widespread fears, despite the growing number of positive applications ... [ ] of the underlying technology. Yes, deepfake technology has understandably become notorious in the wake of deepfake porn videos and the threat deepfakes seemingly pose to politics. However, the ability to generate realistic simulations using artificial intelligence will, on the whole, be only a positive for humanity. Increasingly, new uses are being found for deepfakes. Whether recreating long-dead artists in museums or editing video without the need for a reshoot, deepfake technology will allow us to experience things that no longer exist, or that have never existed.

Everyone is talking about artificial intelligence (AI), but few understand how it can be used to improve our everyday access to justice as citizens. In a fun and informative talk, Phillip Djwa will examine the advantages--and limitations--of AI and its application to legal issues people face every day. How far can technology go to help us? Using a chatbot built as a case study, Djwa looks at the state of the industry, issues of built-in bias of computer systems and the general fear we have of being taken over by AI machines like SkyNet. Drew Jackson, head of the People's Law School's chatbot project, will join Djwa.

Artificial intelligence (AI) has reached a tipping point, leveraging the massive pools of data gathered by every app, website, and device in our lives to make increasingly sophisticated decisions on our behalf. AI is at work in our inboxes sorting and blocking emails. It takes and processes our increasingly complex requests through voice assistants. It supplements customer support through chatbots, and heavily automates complex processes to reduce the workload for knowledge workers. Evidently, devices can adapt on the fly to human behavior.

GANs–Generative adversarial networks (GANs) are deep neural network architectures comprised of two nets pitting one against the other, e.g. the term "adversarial"). The theory of GANs was first introduced in a 2014 paper by deep learning luminary Ian Goodfellow and other researchers at the University of Montreal, including Yoshua Bengio. The potential of GANs is significant because they are generative models in that they create new data instances that resemble training data. For example, GANs can create images that look like photographs of human faces, even though the faces don't belong to any real person.