In a move aimed at reducing costs and "untangling the complexities" of today's global supply chain, IBM is now offering an "integrated supply chain suite" embedded with its Watson AI and IBM Blockchain technologies. The IBM Sterling Supply Chain Suite is designed "to help organizations make their supply chains smarter, more efficient and better able to make decisions to adjust to disruptions and opportunities in an era when globalization has made supplier networks more complex and vulnerable than ever." The new suite is also open to developers and includes IBM Sterling as well as the tech firm's recently acquired Red Hat OpenShift tech platform. The suite allows developers to create "tailored solutions" while also enabling "clients to bring in third-party data, so that all connected applications and networks can benefit from it, IBM noted. The technology suite will allow manufacturers, retailers and other types of businesses "to integrate critical data, business networks and supply chain processes while capitalizing on the benefits of technologies like Watson AI, IBM Blockchain and the Internet of Things," IBM said in a statement, adding that these "intelligent, self-correcting supply chains are designed to learn from experience, creating greater reliability, transparency and security while providing new competitive advantages." Bob Lord, senior vice president of cognitive applications and developer ecosystems at IBM, sees the launch as empowering companies -- across industries -- to be more globally competitive. "Supply chains are now mission-critical systems for all businesses to drive success and profitability," he explained. "Many organizations have risen to the top of their industries by building efficient and agile supply chains.

NEW YORK/HONG KONG--Goldman Sachs Group Inc. said on Oct. 8 it was reviewing its involvement in Megvii Technology Ltd.'s planned initial public offering after the U.S. government placed the Chinese artificial intelligence firm on a human rights blacklist. The Trump administration said on Monday that Megvii and seven other Chinese companies were targeted because they were implicated in Beijing's repression of Muslim minority populations in the Xinjiang Uyghur Autonomous Region in the far west of the country. In an emailed statement in response to a request for comment on the Alibaba-backed Megvii IPO, Goldman said it was "evaluating in light of the recent developments." Sources had previously told Reuters the listing was scheduled for Hong Kong in the fourth quarter and might raise as much as $1 billion. Other U.S. companies involved with the blacklisted Chinese firms, whether as investors or as underwriters, are also likely to re-evaluate their relationships, risk consultants and Silicon Valley lawyers said.

In recent years, the importance of developing targeted strategies to pursue opportunities in the Asia Pacific – that is, 'Asia Strategies' – has come to the forefront of policy discourse.[1] As noted in global strategy advisor Parag Khanna's bestseller, The Future is Asian, Asia is increasingly becoming more prosperous and confident. For Canada, sustained engagement with this region is now critical to the country's long-term economic prosperity. Propelled by its young population and increase in productivity, Asia is predicted to make up 65 per cent of the world's global middle class by 2030 and it is expected to account for 53 per cent of the world's population and 52 per cent of global GDP by 2050. The need for trade diversification and deeper engagement with Asia is clear, but Canada often falls short of the Asia-specific skills, resources, and, most importantly, strategiesthat are required to take advantage of these opportunities.

Call of Duty Mobile has racked up more than 100 million downloads since launching last week, making it the most popular mobile game of all time. Figures released by market research firm Sensor Tower revealed the game smashed the previous record set by Mario Kart Tour, which raced to 90 million downloads in its first week. Other popular mobile games like PUBG Mobile and Fortnite, picked up a relatively modest 28 million and 22.5 million downloads respectively in their first seven days. The majority of downloads came from iOS, with iPhone users accounting for 57 million downloads of Activision's free-to-play shooter. Within three days of launching on 1 October, Call of Duty Mobile hit the top of the iOS app charts in more than 100 countries.

Machine learning plays a key role in powering Twitter and our purpose of serving the public conversation. To continually advance the state of machine learning, inside and outside Twitter, we are building out a research group at Twitter, led by Sandeep Pandey, to focus on a few key strategic areas such as natural language processing, reinforcement learning, ML ethics, recommendation systems, and graph deep learning. We are excited to announce that, to help us get there, we have acquired Fabula AI (Fabula), a London-based start-up, with a world-class team of machine learning researchers who employ graph deep learning to detect network manipulation. Graph deep learning is a novel method for applying powerful ML techniques to network-structured data. The result is the ability to analyze very large and complex datasets describing relations and interactions, and to extract signals in ways that traditional ML techniques are not capable of doing.

Thomas Bayes (/beɪz/; c. 1701 – 7 April 1761)[2][3][note 1] was an English statistician, philosopher and Presbyterian minister who is known for formulating a specific case of the theorem that bears his name: Bayes' theorem. Bayes never published what would become his most famous accomplishment; his notes were edited and published after his death by Richard Price.[4] Thomas Bayes was the son of London Presbyterian minister Joshua Bayes,[5] and was possibly born in Hertfordshire.[6] He came from a prominent nonconformist family from Sheffield. In 1719, he enrolled at the University of Edinburgh to study logic and theology. On his return around 1722, he assisted his father at the latter's chapel in London before moving to Tunbridge Wells, Kent, around 1734.

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WiMLDS's mission is to support and promote women and gender minorities who are practicing, studying or are interested in the fields of machine learning and data science. We create opportunities for members to engage in technical and professional conversations in a positive, supportive environment by hosting talks by women and gender minority individuals working in data science or machine learning. Events include technical workshops, networking events and hackathons. We are inclusive to anyone who supports our cause regardless of gender identity or technical background.

The U.S. Department of Energy recently announced the funding of another set of quantum science-driven research proposals, including that of Sau Lan Wu, Enrico Fermi professor of physics and Vilas Professor at the University of Wisconsin – Madison. With the funding, Wu and her collaborators seek to tap into the power of quantum computing to analyze the wealth of data generated by high energy physics experiments. The title of Wu's DOE approved project is: "Application of Quantum Machine Learning to High Energy Physics Analysis at LHC using IBM Quantum Computer Simulators and IBM Quantum Computer Hardware". Wu, a member of the Chicago Quantum Exchange (CQE) and Wisconsin Quantum Institute at UW–Madison who conducts her research at the Large Hadron Collider (LHC) at CERN in Geneva, Switzerland, was one of only six university-based investigators – those outside of National Labs – to be awarded the DOE quantum funds for particle physicists. "The ambitious HL-LHC program will require enormous computing resources in the next two decades," says Wu. "A burning question is whether quantum computers can solve the ever-growing demand for computing resources, and our goal here is to explore and to demonstrate that quantum computing can be the new paradigm."

I was given huge autonomy over my project -- which revolved around NLP and sentiment analysis -- and was treated like any other full time employee. Ushur was a perfect place to learn, grow, and jumpstart my career in Silicon Valley.