BenevolentAI, which uses AI to develop drugs and energy solutions, nabs $115M at $2B valuation


In the ongoing race to build the best and smartest applications that tap into the advances of artificial intelligence, a startup out of London has raised a large round of funding to double down on solving persistent problems in areas like healthcare and energy. BenevolventAI announced today that it has raised $115 million to continue developing its core "AI brain" as well as different arms of the company that are using it specifically to break new ground in drug development and more. This venture round values the company at $2.1 billion post-money, its founder and executive chairman Ken Mulvaney confirmed to TechCrunch. Investors in this round include previous backer Woodford Investment Management, and while Mulvaney said the company was not disclosing the names of any other investors, he added it was a mix of family offices and some strategic backers, with a majority coming from the U.S., but would not specify any more. Notably, BenevolentAI does not have any backing from more traditional VCs, which more generally have been doubling down on investments in AI startups.

New Accenture Study Finds 87 Percent of Focused Cyberattacks Are Prevented


NEW YORK--(BUSINESS WIRE)--With ransomware and distributed denial of service (DDoS) attacks on the rise, the average number of focused cyberattacks per organization has more than doubled this year compared to the previous 12 months (232 through January 2018 versus 106 through January 2017). In the face of these growing cyber threats, organizations are demonstrating far more success in detecting and blocking them, according to a new study from Accenture (NYSE:ACN). Yet, despite making significant progress, only two out of five organizations are currently investing in breakthrough technologies like machine learning, artificial intelligence (AI) and automation, indicating there is even more ground to be gained by increasing investment in cyber resilient innovations and solutions. The study was conducted from January to mid-March 2018 and investigated focused attacks defined as having the potential to both penetrate network defenses and cause damage, or extract high-value assets and processes from within organizations. Despite the increased pressure of ransomware attacks, which more than doubled in frequency last year, the study found organizations are upping their game and now preventing 87 percent of all focused attacks compared to 70 percent in 2017.

How Big Data Can Use Language To Find The Hidden Reason To Sell A Stock


Traders and financial professionals work at the opening bell on the floor of the New York Stock Exchange (NYSE). It's no secret on Wall Street that a "sell" recommendation in sell-side research reports is exceedingly rare, and it can't be chalked up to today's bull market recently surpassing its ninth birthday. According to FactSet data, only 6% of analyst recommendations on S&P 500 companies are "sell" ratings or the equivalent, lending credence to the notion that conflicts of interest persist despite reform efforts to make recommendations more objective in nature. Put simply, negative recommendations can place an analyst in the virtual penalty box when it comes to getting access to companies, and the effects are clear in a business where access is king. So, is there still use to looking through research reports to figure out which stocks are worth buying and selling?

Growing Number of Industries Harnessing the Power of Artificial Intelligence (AI) Technologies


Over the past few years there has been dramatic rise in the use of data, analytics, and most recently, artificial intelligence (AI). With AI rapidly moving into the daily operations of a rising number of uses and enterprises, the disruption to human capital and the labor workforce of tomorrow is inevitable. What's more, this change mostly likely will be amplified by innovation and commoditization that AI brings as it enters every aspect of the modern workplace. Modern industry stands on a precipice between platforms and automation. Uber, Lyft, Gigster, Deliveroo, and the multitudes of other platforms are still heavily dependent on human labor, but all are aggressively investing in artificial intelligence to automate processes and decrease risk in business operations.

Assembles Visionaries and Practitioners in Artificial Intelligence, Data Science, Alternative Data, Blockchain and ALIS - MOV37


Board to help MOV37 find, develop and nurture the new wave of young talent revolutionizing investment management. New York, March 8, 2018 – MOV37, the research and investment platform for Autonomous Learning Investment Strategies (ALIS), has assembled an Advisory Board to help find, develop and nurture the young talent that will revolutionize investment management. "The Advisory Board's primary role is to push us outside our intellectual comfort zones," says Adil Abdulali, Chief Science Officer and President at MOV37. The Board will partner with MOV37 in exploring how technology is fundamentally changing investment management and identifying and supporting the young ALIS managers at the forefront of that disruption. Raphael Douady earned his math PhD in Hamiltonian systems in Paris and holds the Robert Frey Endowed Chair for Quantitative Finance at Stony Brook, New York.

Mythic snags $40 million to advance AI chips


Mythic announced today that it has closed a $40 million round of investment led by SoftBank Ventures to help bring a high-speed, low-power AI chip to market. The company will use this massive infusion of cash to help launch its specialized silicon next year, roughly seven years after the company was first incubated at the Michigan Integrated Circuits Lab. Mythic's technology performs machine learning inference calculations using analog electrical signals and flash memory, which the company says allows for higher performance and a lower-power draw than more conventional techniques, like using GPUs. Mythic is targeting one of the biggest bottlenecks in machine learning computation: moving data to and from memory for processing. Because all of the neural network inference computation takes place on the same silicon that stores its weights, it's supposed to work faster.

Speaking Opportunities at Miami #Blockchain Event by @CloudEXPO #Bitcoin #Ethereum #Crypto #Ripple


DXWorldEXPO LLC announced today that "Miami Blockchain Event by FinTechEXPO" has opened its Call for Papers. The two-day event will present 20 top Blockchain experts. All speaking inquiries which covers the following information can be submitted by email to [email protected]. Miami Blockchain Event by FinTechEXPO also offers sponsorship and exhibit opportunities. Financial enterprises in New York City, London, Singapore, and other world financial capitals are embracing a new generation of smart, automated FinTech that eliminates many cumbersome, slow, and expensive intermediate processes from their businesses.

Broadcom abandons plans to buy Qualcomm after Trump blocks the deal


Broadcom is no longer pursuing plans to buy Qualcomm after Trump issued an executive order blocking the $117 billion takeover proposal over fears the deal would "impair the national security of the United States." "Although we are disappointed with this outcome, Broadcom will comply with the Order," the Singapore-based company that's currently in the process of redomiciling to the U.S., said in a press release on Wednesday. Broadcom has been under investigation by the Committee on Foreign Investment in the United States (CFIUS) over concerns the company's buyout of Qualcomm could stifle the chipmaker's development of 5G technologies. Qualcomm is currently one of the largest U.S.-based tech companies investing in research and development of 5G. Had Broadcom purchased it, CFIUS says the acquisition could have led to the U.S. falling behind and China leaping ahead in the race to influence the infrastructure that will connect everything from phones to a network of self-driving cars. - CognitiveScale and NBCUniversal Demonstrate the Power of #AI in Transforming TV Advertising


Newswire) CognitiveScale today announced a completed project with NBCUniversal using its artificial intelligence (AI) technology to transform the way NBCUniversal analyzes video to determine what makes a successful ad. The first-of-its-kind project resulted in valuable insights that empowers NBCUniversal to use AI to deliver new ad sales options and services to its clients.

Artificial intelligence disrupts FinTech


Artificial intelligence (AI) is an increasingly important part of the financial technology sector, specifically in analysing stocks and providing insights into the markets that human analysts alone can't make. As such, AI-driven funds hold an increasingly large portion of the market, moving this technology into the mainstream. The result is a large opportunity for investors using this technology or investing in the companies producing it. Significant steps are being taken by companies such as AnalytixInsight (ATIXF Profile), whose flagship CapitalCube cloud-based analytics empowers investors to evaluate the potential of companies and portfolios. Other companies are also taking note of AI's increasing value. TD Bank has snapped up a young but highly valued AI company as part of a broader AI strategy, while Helios and Matheson Analytics, Inc. has seen its share price rise as it expands its AI-driven Big Data strategy. Even Thomson Reuters, owner of the original human-driven reporting and analysis company Reuters, has taken an interest in AI analysis, as has Euronext NV, a European stock exchange.