She works on expanding the reach of IBM's technology to New York City's developer community. Her area of interest includes prototyping with NodeRED & working with AI services to build fun & interesting things! Prior to living in NYC, Pooja lived in Boston, MA where she was working as an API automation engineer in the healthcare tech industry. She mainly works in Javascript & Java, however she tinkers with Python. She is currently passionate about Node-RED & building IoT applications using Node-RED services. She is a strong believer in helping new technologist get up & running with technology & feel confident in their abilities to make!

Artificial Intelligence is being accused of fueling inequality and climate change as revealed by a new report. Recently, a paper was published by the AI Now Institute with a title AI Now 2019 Report and it is highlighting the societal impacts of artificial intelligence and is also putting in front some recommendations for the tech industry and policymakers. The artificial intelligence is being controlled by the people who already have power and is promoting inequality, and disempowering people who lack power. According to the claims by AI Now, the artificial intelligence industry is promoting the mistreatment and discrimination of workers as the tech companies are moving more towards facial recognition technologies and ignoring the facts that these energy-running A.I. systems are the reason behind the increase of carbon dioxide in the environment. According to the co-founder of AI Now Kate Crawford, her organization is concerned about the effects of the recognition technology that is promoting to determine the personality or emotional state of a person via their facial expression and this type of technology is being used by vet job applicants, to track students and to gather data on the emotional states of shoppers inside the stores.

The IBM Developer NYC team will be hosting a Holiday Tech Showcase & Party! Please join us & the community for a fun-filled night of food & drinks, networking, IBM's BIG IDEAS for 2020, exclusive project demos using IBM technologies, & a special holiday gift from IBM Developer as a token of appreciation. Sign up for IBM Cloud (here: http://ibm.biz/IBMHolidayParty) to receive a special IBM holiday gift. Pooja, Roger, Grant, Nigel, Jenna, & Mofi Special Message: The IBM Developer NYC team would like to thank you ALL for being the best part of our events this year! This year, IBM Developer New York has grown over 70%! Thank you for showing up, participating & being excited to learn with us!

In its first year of operation, the Intelligent Towing Tank (ITT) conducted about 100,000 total experiments, essentially completing the equivalent of a PhD student's five years' worth of experiments in a matter of weeks. The automated experimental facility, developed in the MIT Sea Grant Hydrodynamics Laboratory, automatically and adaptively performs, analyzes, and designs experiments exploring vortex-induced vibrations (VIVs). Important for engineering offshore ocean structures like marine drilling risers that connect underwater oil wells to the surface, VIVs remain somewhat of a phenomenon to researchers due to the high number of parameters involved. Guided by active learning, the ITT conducts series of experiments wherein the parameters of each next experiment are selected by a computer. Using an "explore-and-exploit" methodology, the system dramatically reduces the number of experiments required to explore and map the complex forces governing VIVs.

In the not-so-distant future, more robots may be interacting with customers at shopping complexes, serving food at restaurants or cleaning floors at offices in Japan amid a serious labor crunch. A hint of what is to come is visible at the International Robot Exhibition 2019, a major biennial robot trade show that kicked off on Wednesday at Tokyo Big Sight. The event runs until Saturday. Featuring a record 637 firms and organizations, some participants said demand for robotics as helping hands in service sectors is rising to compensate for a shortage of workers. Tokyo-based Omron Social Solutions Co. unveiled a robot capable of performing three tasks: cleaning, security and guiding.

Tis the end of the year when pundits typically dust off the crystal ball and take a stab at what tech, and its impact on consumers, will look like over the next 12 months. But we're also on the doorstep of a brand-new decade, which this time around promises further advances in 5G networks, artificial intelligence, quantum computing, self-driving vehicles and more, all of which will dramatically alter the way we live, work and play. So what tech advances can we look forward to in the new year? Here's what we can expect to see in 2020 – and in some cases beyond. The next generation of wireless has showed up on lists like this for years now. But in 2020, 5G really will finally begin to make its mark in the U.S., with all four major national carriers – three if the T-Mobile-Sprint merger finally goes through – continue to build out their 5G networks across the country.

A new robotic police dog is being used in Massachusetts. While police robotics aren't new, they are raising questions about oversight and whether they could be weaponized.

Samsung Electronics has partnered up with Baidu to produce its new cloud-to-edge artificial intelligence (AI) chip, Kunlun, with mass production slated for early next year, the companies announced. It is the first such partnership between the South Korean tech giant and Chinese search behemoth. Kunlun will be built on Baidu's own XPU neural processor architecture for cloud, edge, and AI and will be made with Samsung's 14nm process. The South Korean company will also make the chips using its I-CubeTM, or interposed-cube, package solution. I-Cube integrates a System-on-a-Chip (SoC) and a High Bandwidth Memory (HBM) onto a silicon interposer to create a single package to increase electrical transference.

SP Energy Networks is investing in cutting-edge software that applies machine learning algorithms and data science to predict electricity network demand and generation output. The artificial intelligence (AI) forecasting software, which uses historical network data and detailed weather data to make the predictions, will enable the network operator to maximise capacity and reliability across the electricity distribution network. Sia's software will go live in March 2020 and will be used in the real-time management of the network and forward planning when assessing the impact of new connections across the system. The investment comes as Britain's electricity network experiences a rapid transition from fossil fuel generation to renewable energy, low carbon options and energy efficiency programmes. Grant McBeath, Control Room Manager at SP Energy Networks, said: "Demand on the network is forecast to increase considering all future energy scenarios as we transition towards a zero carbon economy. We, therefore, have to change the way we manage the network – transitioning from passive approach to much more active and agile management, which requires a more dynamic approach to ensure capacity is maximised and customers' supplies remain uninterrupted. "Working with Sia on forecasting software will allow us a better understanding of the future flows of energy on the network right down to a half hourly basis.

About the talk In this talk we first consider the situation where one is interested in gaining understanding of general dynamical properties of a chaotically time evolving system solely through access to time series measurements that depend on the evolving state of an, otherwise unknown, system. Using examples, we show that machine learning is an extremely effective tool for accomplishing this task, and we discuss how the ability to do this can be of practical utility. In the second part of the talk, we turn the problem around and utilize chaos theory to explain the dynamical basis for how a machine learning system is able to do accomplish this task [Z. About the speaker Edward Ott received his Ph.D. from The Polytechnic Institute of Brooklyn and was an NSF Postdoctoral Fellow at Cambridge University, following which he became a faculty member of the Department of Electrical Engineering at Cornell University. After 11 years at Cornell, he moved to the University of Maryland where he is currently a Distinguished University Professor in the Department of Physics and the Department of Electrical and Computer Engineering.