Courses The major educational initiative of the JHUDSL is to create open-source online courses delivered through a range of platforms including Youtube, Github, Leanpub, and Coursera. Welcome to the "Introduction to Deep Learning" course! In the first week you'll learn about linear models and stochatic optimization methods. Please note that this is an advanced course and we assume basic knowledge of machine learning. I am currently working as a data science researcher and trainee at Jheronimus Academy of Data Science.

On the face of it, it seems like some kind of impossible oxymoron. But it makes perfect sense… (Or at least it does to me now that I've attended the NZ Tech Marketers September event, Unleash your creativity with the power of AI.) Auckland's Tech Marketer contingent had the benefit of insights from Amanda Johnston-Pell, IBM's Chief Marketing Officer for Australia and New Zealand, and our Wellington and Christchurch cohort were joined by the ever-impassioned Isuru (Issy) Fernando, IBM New Zealand's Chief Design and Technology Officer. Both shared findings from the recent IBM 2019 Marketing Trends report: Nine factors reshaping marketing and how you can stay ahead of them. Doing this makes it less scary, binary and wo/man v. machine-ish. Issy says: "There's a lot of hype and uncertainty – and a lot of fud – out there about what AI is. We need to think of AI as less artificial reality and more augmented reality. It really changes the conversation. "If you look at humans across civilisation we've been augmenting ourselves with machines all the time.

Currently leading healthcare security strategy at Cylera, a biomedical HIoT security startup, Richard Staynings has more than two decades of experience in both cybersecurity leadership and client consulting in healthcare. Last year, he served on the Committee of Inquiry into the SingHealth breach in Singapore as an expert witness. He recently spoke to Healthcare IT News on some of the current developments in healthcare cybersecurity. Q. Artificial intelligence (AI) applications in healthcare are all the rage now, and so are cybersecurity threats, given the frequency and intensity of healthcare-related incidents. In particular, some of the cyberattacks have become more sophisticated through the use of AI to get past cyber defenses.

Biofourmis, a fast-growing global leader in digital therapeutics, has received 510(k) clearance from the U.S. Food and Drug Administration (FDA) for its machine-learning and artificial intelligence (AI)-powered Biovitals Analytics Engine as a medical device for ambulatory physiological monitoring. This regulatory approval of the Biovitals Analytics Engine is part of FDA's growing recognition of machine-learning and AI in the Software as a Medical Device category. "This milestone approval is foundational to the Biovitals ecosystem, which includes not only our most advanced solution, BiovitalsHF for heart failure--but also our range of solutions across therapeutic areas, such as pain, oncology, sleep disorders and others in development," said Kuldeep Singh Rajput, CEO and founder of Biofourmis. "Receiving this important regulatory approval will only accelerate the development and commercialization of these innovative digital therapeutic solutions." This FDA approval is the second market authorization for Biofourmis, having earned the agency's approval in May 2019 for its Biovitals RhythmAnalytics platform, which is cloud-based software for automated interpretation of more than 15 types of cardiac arrhythmias.

AI and data science is transforming business. The CxO summit will give you the knowledge and connections to be at the forefront.

There are countless uses for neural networks: one composes terrifying jazz, and another dreams up an entire text adventure game in real time. So it should come as no surprise that a smartphone app called TwinFACE, now available on the Google Play store, is designed to transform your selfie into an anime character. TwinFACE uses the same open-source UGATIT code as an AI developed earlier this year by a team of South Korean researchers from video game company NCSoft. But there's one catch: it doesn't do a very good job. The resulting portraits are, frankly, terrible and in some instances pretty scary.

Model from the Computer Science and Artificial Intelligence Laboratory identifies "serial hijackers" of internet IP addresses. Hijacking IP addresses is an increasingly popular form of cyber-attack. This is done for a range of reasons, from sending spam and malware to stealing Bitcoin. It's estimated that in 2017 alone, routing incidents such as IP hijacks affected more than 10 percent of all the world's routing domains. There have been major incidents at Amazon and Google and even in nation-states -- a study last year suggested that a Chinese telecom company used the approach to gather intelligence on western countries by rerouting their internet traffic through China. Existing efforts to detect IP hijacks tend to look at specific cases when they're already in process.

SEEK Limited (ASX: SEK) is one of Australia's most entrepreneurial digital businesses and also one of the heaviest investors in new tech, product development, and start up or early stage ventures (ESVs) for long-term growth. In fact it's ready to wear $25 million to $30 million in ESV losses over FY 2020 such is it's commitment to sacrificing the short term for long term success. It now has an aspirational revenue of $5 billion by FY 2025 versus the $1.54 billion delivered in FY 2019, which would be an impressive result if achieved. It recently reported how it's an Australian market leader in artificial intelligence (AI) investment with a team of more than 100 specialist data scientists and software engineers building AI that learns from how candidates search job ads to better target ads for advertisers. According to SEEK the new AI has resulted in an 11% increase in job ad click through rate, a 10% uplift in candidate applications per session and 600,000 more applications per month across its platforms.

NHS Vale of York CCG has rolled out predictive intervention technology to identify patients at risk of unplanned hospital care. Health Navigator uses analytics and machine learning techniques to identify patients who may benefit from health coaching, particularly those with long-term health conditions. Delivered by registered clinicians, the service is designed to support patients with complex conditions and empower them to take control of their health, thus reducing A&E admissions and unplanned emergency care. The project has been commissioned by NHS Vale of York CCG and aims to address the NHS's increasing demand for urgent and emergency care services, as highlighted in figures released by NHS Digital recently which showed that emergency admissions have peaked nationally. Evidence from a local randomised control trial (RCT) at York Teaching Hospital showed a 36% reduction in A&E attendances for patients supported by health coaching.

We propose $\tt RandUCB$, a bandit strategy that uses theoretically derived confidence intervals similar to upper confidence bound (UCB) algorithms, but akin to Thompson sampling (TS), uses randomization to trade off exploration and exploitation. In the $K$-armed bandit setting, we show that there are infinitely many variants of $\tt RandUCB$, all of which achieve the minimax-optimal $\widetilde{O}(\sqrt{K T})$ regret after $T$ rounds. Moreover, in a specific multi-armed bandit setting, we show that both UCB and TS can be recovered as special cases of $\tt RandUCB.$ For structured bandits, where each arm is associated with a $d$-dimensional feature vector and rewards are distributed according to a linear or generalized linear model, we prove that $\tt RandUCB$ achieves the minimax-optimal $\widetilde{O}(d \sqrt{T})$ regret even in the case of infinite arms. We demonstrate the practical effectiveness of $\tt RandUCB$ with experiments in both the multi-armed and structured bandit settings. Our results illustrate that $\tt RandUCB$ matches the empirical performance of TS while obtaining the theoretically optimal regret bounds of UCB algorithms, thus achieving the best of both worlds.