Peptides are the hottest area of new drug development. Medications derived from these "short" naturally occurringproteins – a midpoint between small molecules and large antibodies -- are highly targeted and often much less toxic than other treatments. It's no wonder, then, that peptide-derived drugs have become a $20 billion market, expected to grow to $43 billion by 2024, according to Zion Market Research. Insulin is probably the most famous peptide drug. Newer peptide-derived medicines like Victoza and Byetta also treat diabetes; Zoladex, Lupron and Sandostatin are used to fight cancer.

Then left, another left, then left again. That's the typical movement your thumb might go through if you're trying to find "the one" on any dating app. In some circles, it's becoming more common to hear friends say they met their significant other via dating apps Tinder, Bumble or Hinge, but what about Spotify? For two emerging artists, the music-streaming service helped them connect, and fast forward, they're getting married. The lovebirds are trying to find out who's responsible.

The use of AI and machine learning to reshape business, improve processes, find new opportunities and build new service offerings is quickly becoming commonplace. At the Spark AI Summit in Amsterdam, Enterprise Times met with Johan Vallin, Global Head of Data Science at Electrolux. We talked about how the consumer goods giant was using these new technologies and about where Vallin saw the future. Electrolux is at the early stages of deploying big data, AI and machine learning across its entire business. Vallin said: "I oversee the whole scope of, the value chain, from purchasing and components, handling our suppliers, to a little bit of logistics to fill plants and the manufacturing processes."

Artificial Intelligence in an open banking environment has revolutionised the way customers approach and leverage their financial information. The face of banking is changing across Australia and around the globe. With the launch of open banking and the Australian Consumer Data Right, the latest digital technologies and an ever-changing regulatory landscape, customers are demanding enhanced experiences and increased value for money. Artificial Intelligence (AI) is just one technology that is enabling banks and financiers to provide increased efficiencies behind the scenes, new product lines upfront, and to ensure a heightened customer experience for all. The customer experience has become the significant driver of any brand's growth and often their point of differentiation.

Microsoft – From Rudderless Giant to AI FirstMicrosoft is one of the world's most ubiquitous technology company. Best known for their Microsoft Windows operating systems the company also produces office suites, games, Azure, Xbox and many more. However, Microsoft is also at the forefront of developing artificial intelligence technology. As well as the potentially revolutionary Project Hanover, Microsoft AI applications are transforming businesses, services and how we interact with the world. They are also making major purchases and investments, such as acquiring LinkedIn or software development hosts GitHub. However, this has not always been the case. Microsoft was initially slow to realise the potential of AI. In the course of this article, we will explore how Microsoft, despite being slow off the mark, has transformed themselves into a leading AI-first company. We will also highlight some of Microsoft AIs most exciting innovations. By exploring some of Microsoft AIs leading initiatives we will see how then have been able to evolve into a leading AI company. Microsoft was formed in Albuquerque, New Mexico on the 4th of April 1975 by Paul Allen and Bill Gates. The company's name, Microsoft is a portmanteau of the words microcomputer and software. Success was swift, as was early growth. At the end of 1979, the company opened its first international office in Japan. Following a move to Washington in 1979, the company restructured in 1981 becoming an incorporated business.

He has over 18 years of experience in Sales & Marketing, Market Research & Analytics, Competitive Intelligence, Consulting & General Management area. He has experience in delivering clients with actionable research reports in various industries including pharmaceuticals, chemical, petrochemical, automobile, agriculture equipments. These studies have been for M&A target evaluation & selection, due diligence, competitor monitoring and tracking, benchmarking of competitive activity and business strategy consulting engagements for start-ups, SMEs and MNCs. He is heading the Artificial Intelligence department of the company. He is responsible for managing the company's strategy, client relationships, and developing and growing new lines of business for the company.

With the AI industry moving so quickly, it's difficult for ML practitioners to find the time to curate, analyze, and implement new research being published. To help you quickly get up to speed on the latest ML trends, we're introducing our research series, in which we curate the key AI research papers of 2019 and summarize them in an easy-to-read bullet-point format. We'll start with the top 10 AI research papers that we find important and representative of the latest research trends. These papers will give you a broad overview of research advances in neural network architectures, optimization techniques, unsupervised learning, language modeling, computer vision, and more. We've selected these research papers based on technical impact, expert opinions, and industry reception. Of course, there is much more research worth your attention, but we hope this would be a good starting point.

We have 3 core philosophies that make up what we call the Manhattan Spirit. These philosophies call on each of us to Focus on the Customer, Seize Every Opportunity, and Never Settle. With these concepts as guides, we have become the most sought-after commerce supply chain solution for companies all over the globe. Our teams are diverse, intelligent, collaborative, and fun! At Manhattan Associates, your role would be unique and important…as all our employees are essential to building success with our clients and our reputation as a gold-standard in Supply Chain solutions.

The launch of the AI Task Force allows the Army to better connect with the broader artificial intelligence community and focus their efforts in this dynamic field. Artificial intelligence capabilities are relevant to all services and each of the Army's cross-functional teams (CFT's). The Army AI Task Force, located at Carnegie Mellon University, is subordinate organization of Army Futures Command. On November 19th, during Capital Factory's Defense Innovation Summit, five technology startup finalists will be judged by a panel of successful entrepreneurs, defense industry leaders and venture capitalists. One will walk away with a $100,000 investment that day!

What do we want in our interactions with brands when we need to contact customer support or sales teams? A recent report shows that the rise of the AI chatbot is not progressing as well as hoped. Recent research from New York, NY-based outsourcing company CGS shows how AI impacts the customer experience. What is AI? Everything you need to know about Artificial Intelligence Its customer service chatbots and channels survey looked at how customers felt about AI and automation-based interactions. It polled over 1,000 US consumers to better understand their preferences around customer service interactions.