Successful businesses are looking to scale their speed of business with Machine Learning (ML). From engineering to operations, ML has proven to increase efficiency and boost profits. Yet for many organizations, ML initiatives are exclusively driven by small development teams with limited, priority-based resources. Attend this session to learn why you don't have to rely on experts to leverage the power of ML. Step through a few ML use cases in telecom, learn some tips and techniques to overcome formidable obstacles, as well as some common tools to get started.

Antimicrobial resistance (AMR) is the ability of microorganisms like bacteria, viruses, fungi and certain parasites to resist drugs such as antibiotics, antifungals, and antivirals from destroying it. AMR is a worldwide public health threat that is projected to rise. Globally, by 2050, over 10 million deaths per year will be due to antimicrobial resistance according to projections from a report by Wellcome Trust and the UK government. For antibiotic resistance alone, each year over two million people in the U.S. are affected, and 23,000 die, according to figures from the U.S. Centers for Disease Control and Prevention (CDC). Researchers at Washington State University have combined game theory with artificial intelligence (AI) to create a tool that can identify genes that are antibiotic-resistant in bacteria, and published their study in Scientific Reports on October 9, 2019.

All around the world, from small-town Illinois in the US to Rochdale in England, from Perth, Australia, to Dumka in northern India, a revolution is under way in how governments treat the poor. You can't see it happening, and may have heard nothing about it. It's being planned by engineers and coders behind closed doors, in secure government locations far from public view. Only mathematicians and computer scientists fully understand the sea change, powered as it is by artificial intelligence (AI), predictive algorithms, risk modeling and biometrics. But if you are one of the millions of vulnerable people at the receiving end of the radical reshaping of welfare benefits, you know it is real and that its consequences can be serious – even deadly.

With each Expo Hall Pass take advantage of 20 sessions. Here is a sample of past session. What to Expect When You're Expecting ML: Lessons Learned from the New SDLC – Diego Oppenheimer, CEO and Cofounder of Algorithmia Discover the Machine Intelligence, Deep Learning, and AI platforms and solutions that are transforming the world of business and delivering some of today's most dynamic and exciting products and services. Our AI Solution Showcase Expo gives you direct access and exposure to some of the leading platforms in the field. Complimentary Coffee, snacks and chance to get a Free Silver pass to any 2020 ODSC event.**

A new company founded by two former USC students wants to change the way rockets are made by using enormous 3-D printers. The company's initial project is called Terran-1, a 100-foot tall rocket that initially will carry satellites of up to 2,800 pounds into orbit around the earth. The current plan is to radically simplify manufacturing, using 100 times fewer parts to create a rocket that's so easy to manufacture, an AI can handle it. Relativity Space is based in Los Angeles, where its working on building a rocket that could launch as early as 2021. Relativity's founders see 3-D printing as the key to the company's success.

Amazon is opening its doors wide to Prime customers in search of faster shipping in an effort to eat up more of the traditional retail market. According to a report from Recode, the e-commerce giant has removed restrictions on its products that forbade customers from utilizing one-day shipping on items less than $5. Prime customers will be now able to select one-day shipping on products that cost as little as $1, making routine trips to convenience stores that much less convenient. While Amazon has long-sold products like deodorant, dental floss, and other household items on its platform, the restriction on price meant its users were usually required to buy those items in a larger set or tack them onto orders with other items through the company's'add-on' program. Recode notes, however, that Amazon's'add-on' program has been slowly phased out in recent months, essentially paving the way for a new ere of single-use shopping. Now, with the restrictions lifted, customers will be able to not only buy those items individually, but have them delivered imminently to their doorstep.

Fox News Flash top headlines for Oct. 14 are here. Check out what's clicking on Foxnews.com Attacking enemy lines as a heavily up-gunned armored robot, firing lasers, knocking enemy drones out of the air with "elevating" weapons, controlling air and ground drones as networked "nodes" in war and using AI to organize long-range targeting data -- are all desired attributes for the Army's new infantry vehicle - the Optionally Manned Fighting Vehicle. The new vehicle, slated to ultimately replace the decades-old Bradley, will achieve operational combat status as soon as 2026 -- and, according to Army documents, pave the way forward into a new era of major, high-powered, mechanized warfare. As it enters a new prototyping and test phase for the vehicle, the Army is further refining its ambitious and high-standard requirements.

The internet uses routing tables to determine how and where data is sent and received. Without accurate and reliable tables, the internet would be like a highway system with no signs or signals to direct the traffic to the right places. Of course, cybercriminals find a way to corrupt just about everything that makes the internet work, and routing is no exception. IP hijacking, or BGP (Border Gateway Protocol) hijacking, is a process in which hackers and cybercriminals take over groups of IP addresses by corrupting the routing tables that use BGP. The purpose is to redirect traffic on the public internet or on private business networks to the hijackers' own networks where they can intercept, view, and even modify the packets of data.

Berkeley Lab researchers Vahe Tshitoyan, Anubhav Jain, Leigh Weston, and John Dagdelen used machine learning to analyze 3.3 million abstracts from materials science papers. Sure, computers can be used to play grandmaster-level chess, but can they make scientific discoveries? Researchers at the U.S. Department of Energy's Lawrence Berkeley National Laboratory have shown that an algorithm with no training in materials science can scan the text of millions of papers and uncover new scientific knowledge. A team led by Anubhav Jain, a scientist in Berkeley Lab's Energy Storage & Distributed Resources Division, collected 3.3 million abstracts of published materials science papers and fed them into an algorithm called Word2vec. By analyzing relationships between words the algorithm was able to predict discoveries of new thermoelectric materials years in advance and suggest as-yet unknown materials as candidates for thermoelectric materials.

A.A.A. is a scholar of the Leukemia and Lymphoma Society. This work used the XStream computational resource, which is supported by the National Science Foundation Major Research Instrumentation program (ACI-1429830). This work used the shared FACS facility, which is supported by NIH S10 Shared Instrument Grant (S10RR027431-01). We thank the NIH Tetramer Facility for providing recombinant HLA-DR monomers for the peptide binding experiment. We thank M. Nielsen for providing insights regarding implementation of the NetMHCIIpan algorithm.