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Chatbots, Fraud Detection, Robotics in Industry (and More) – This Week in Artificial Intelligence 11-04-16

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Chatbots, Fraud Detection, Robotics in Industry (and More) - This Week in Artificial Intelligence 11-04-16

1 – Carnegie Mellon Receives $10 Million From K&L Gates To Study Ethical Issues Posed By Artificial Intelligence

Carnegie Mellon announced that it will dedicate a $10 million gift from the K&L Gates Foundation to the establishment of a new K&L Gates Endowment for Ethics and Computational Technologies. Carnegie Mellon President Subra Suresh expressed gratitude for the grant, commenting on CMU’s work ahead:

“It is not just technology that will determine how this century unfolds. Our future will also be influenced strongly by how humans interact with technology, how we foresee and respond to the unintended consequences of our work, and how we ensure that technology is used to benefit humanity, individually and as a society.”

The foundation will support new faculty chairs, three new Presidential Fellowships for doctoral students, a biennial conference, scholarships to recognize undergraduate students’ achievements in the artificial intelligence and related fields.

(Read the full press release on Carnegie Mellon University News)

2 – Citi Ventures Deploys Machine Learning And Artificial Intelligence With People

Citi Ventures, responsible for investments in innovative technologies and companies, is making an investment in Feedzai, a machine learning company that specializes in real-time fraud protection. The investment parallels with Citi Global Innovations Labs’ active interests in applications of machine learning, artificial intelligence, and big data analytics. Ramneek Gupta, managing director and co-head of investing for Citi Labs, commented on the symbiotic relationship of pairing AI capabilities that enhance the human role in directing AI as Citi and other financial institutions seek to better protect consumers.

(Read the full article on Forbes)

3 – Companies Rally to Build Chatbots for Messaging Services

The pursuit of pioneering smart virtual assistants and chatbots is trending across industries, and more than 33,000 new bots have been created since Facebook opened its Messenger service six months ago  and invited developers to build them on the communications platform. A primary objective for current developers is to build a more natural interface between machines and humans – an assistant that’s not too human and not too robot-like. Stan Chudnovsky, vice president and head of product for Messenger at Facebook, predicts that people and AI-powered chatbots will conduct complex dialogs in the next two years. Chatbots are still in their infant stage, with companies like ADP working with social anthropologists and copywriters to help improve chatbot behavior.

(Read the full article on The Wall Street Journal)

4 – Will Self-Driving Trucks, Now A Reality, Unseat Truck Drivers?

While autonomous cars have gotten more than their fair share of attention from the media, self-driving trucks and big rigs have made a more veiled emergence in the hands of researchers and entrepreneurs. Uber recently acquired Otto, which developed self-driving big rig technology. Alain Kornhauser, Head of the Autonomous Vehicle Engineering program at Princeton University, notes that long-haul trucks are well suited for self-driving technology – they drive mainly on well-marked highways, which are generally smoother and free of pedestrians. He believes self-driving trucks will be in use within a decade, but it’s likely those trucks will still have a human driver at the wheel – in case something goes awry.

(Read the full interview on NPR)

5 – Robots Help Position Interventional Needles

A new robotic arm will help physicians reduce the time spent placing a needle for biopsy from an average 30 minutes to 5 minutes. The arm was developed by researchers from the Fraunhofer Institute for Manufacturing Engineering and Automa-tion IPA’s Project group for Automation in Medicine and Biotechnology PAMB and the Fraunhofer Institute for Medical Image Computing MEVIS and is being shown at the MEDICA trade fair in Düsseldorf from November 14 to 17. This more efficient human-robot collaboration provides other benefits, such as reducing the amount of radiation exposure to both patients and doctors from the X-Ray used to help insert a needle into tissue. Researchers predict the arm will be in the market in three years.

(Read the full article on Science Daily)

Image credit: Government Technology

Source: https://emerj.com/chatbots-fraud-detection-robotics-industry-week-artificial-intelligence-11-04-16/

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SingularityNET Partners With Ocean Protocol Prior to the AI-Based DeFi Fund Launch

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[Press Release – Amsterdam, Netherlands, 18th May 2021]

SingularityNET’s first DeFi spin-off project, SingularityDAO, is announcing today their partnership with leading decentralized data provider Ocean Protocol.

The collaboration will see the OCEAN token’s inclusion in SingularityDAO’s index fund/investment portfolio. Moreover, SingularityDAO is designed to leverage AI at multiple levels: AI manages dynamic token-sets, executes predictive market-making strategies to provide liquidity for these token-sets on DEXs, and predictively models hedging strategies.

All this AI requires a lot of data to learn and improve, which is why SingularityDAO is a natural user of Ocean data sets – data sets published via Ocean Market (and other Ocean-based markets) into the Ocean ecosystem. The Ocean ecosystem is host to many diverse and varied trading and DeFi data sets. These make excellent candidates for consumption by SingularityDAO’s AI agents to enhance its financial modeling.

I’m really excited by the opportunity to work together with Ocean Protocol, one of the most respectable projects in crypto that has been constantly delivering community-driven, decentralized data solutions. SingularityDAO will constantly make use of data to train our ML and I can’t think of a better partner than Ocean Protocol. – Marcello Mari, CEO at SingularityDAO

The news follows the successful completion of a total of $5.2 million raised in three different rounds for the highly anticipated Governance Generation Event on MANTRADAO, which reached its hard cap within less than 2½ hours.

The protocol, described as ‘DeFi meets decentralized AI,’ held the event exclusively for SingularityNET $AGI holders and attracted 5,800 registrations in one week. The token sale raised $1.6 million (8,000,000 SDAO).
The successful Governance Generation Event follows a recent private sale wherein SingularityDAO raised $2.7 million of funding from a number of top-tier investors such as AlphaBit, Marshland Capita, GBV, and SMO Capital. SingulariyDAO’s governance token has been generated on May 13th and distributed on the same day. It is currently trading on Uniswap.

About SingularityDAO

SingularityDAO is a decentralized platform, governed by the SDAO token, tasked with governing DynaSets. DynaSets are diversified baskets of cryptocurrency assets dynamically managed by AI and curated by the protocol. SingularityDAO brings the financial sophistication of AI-managed funds to DeFi, deploying SingularityNET’s AI technology to navigate complex markets.

About Ocean Protocol

Ocean Protocol’s mission is to kickstart a Web3 Data Economy that reaches the world, giving power back to data owners and enabling people to capture value from data to better our world.
Data is a new asset class; Ocean Protocol unlocks its value. Data owners and consumers use the Ocean Market app to publish, discover, and consume data assets in a secure, privacy-preserving fashion.

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Source: https://cryptopotato.com/singularitynet-partners-with-ocean-protocol-prior-to-the-ai-based-defi-fund-launch/

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Bought the Dip? MicroStrategy Purchased $10M in Bitcoin at $43.6K

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Michael Saylor’s NASDAQ-listed company continues with its initiative to purchase sizeable amounts of bitcoins at frequent intervals. The firm said earlier today it had allocated another $10 million in cash in BTC, and its total stash is over 92,000 coins.

  • The founder and CEO of the business intelligence giant announced the latest purchase on Twitter earlier on May 12th.
  • It reads that the firm has bought 229 bitcoins for $10 million in cash at an average price of $43,663 per coin.
  • Keeping in mind the multiple purchases made since August 2020, the firm holds 92,079 bitcoins. MicroStrategy has paid $2.251 billion for its stash, with an average price of $24,450 per token.
  • Although this is far from being the largest single acquisition, as the company once bought more than $1 billion worth of BTC, this one actually comes in a compelling moment.
  • In fact, buying 10 million coins at an average price of $43,663 means that MicroStrategy has taken advantage of a popular narrative in the crypto community – buy the dip.
  • The price of the primary cryptocurrency has suffered severely in the past week or so after Elon Musk announced that Tesla has stopped receiving BTC payments for its electric vehicles.
  • In a matter of days, bitcoin fell from over $58,000 to a three-month low of $42,000.
  • Although losing $16,000 of value in less than a week could be considered a major blow, and some investors disposed of their coins even at a loss, MicroStrategy has reaffirmed its promise to continue buying bitcoin as part of its reserve treasury strategy.
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Source: https://cryptopotato.com/bought-the-dip-microstrategy-purchased-10m-in-bitcoin-at-43-6k/

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JPMorgan’s Securities Services to Offer TradingHub’s Analytics Solutions

The Bank is planning to offer trading analytics solutions to its buy-side clients.

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TradingHub, a trade analytics services provider to the global financial markets industry, today announced that JPMorgan, one of the leading investment banks worldwide, will offer TradingHub’s trading analytics solutions to its institutional clients.

According to the official announcement, JPMorgan’s new offering will include TradingHub’s Transaction Efficiency and Accuracy Monitor (TEAM) solution. TradingHub is currently providing trade analytics services to several investment banks and investment management firms worldwide.

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TEAM is a new tool by TradingHub that enables financial services companies around the world to evaluate execution costs at the order, trade, instrument, or asset class-level, and compare against peers on an anonymized basis.

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Commenting on the latest announcement, Neil Walker, Chief Executive and Founder of TradingHub, said: “We are delighted JPMorgan has identified TEAM as a highly novel and valuable product and is giving its clients access to our market-leading trade execution analytics service. This important relationship with JPMorgan will give more asset managers access to our services in a seamless and efficient manner via its open platform.”

JPMorgan has accelerated its global partnerships since the start of 2021. The US-based financial services provider recently partnered with Singapore’s DBS Bank and Temasek to develop a new blockchain-based platform for cross-border payments.

Transparency

TradingHub mentioned in the latest announcement that the main focus of TEAM is to facilitate buy-side firms in the identification of financial brokers providing the best execution. TEAM also provides greater transparency to sell-side institutions. “Providing clients with access to unique services which help them manage transparency across the trade lifecycle is more important than ever. We’re excited to be working with TradingHub and offer TEAM as part of our growing platform,” Richard Crozier, Head of Product for Data and Analytics at JPMorgan Securities Services mentioned in the official announcement.

JPMorgan is planning to facilitate buy-side clients by providing integrated solutions through an open platform. In the last quarter, JPMorgan posted strong growth in revenues and profit.

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Source: https://www.financemagnates.com/institutional-forex/jpmorgans-securities-services-to-offer-tradinghubs-analytics-solutions/

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