press release


Self-Driving Trucks Will Carry Mail in U.S. for the First Time

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The United States Postal Service is going to put mail on self-driving trucks. Starting this week, letters and packages moving between Phoenix and Dallas will travel on customized Peterbilt trucks run by TuSimple, an autonomous startup based in San Diego. There will be five round trips between the two cites, with the first haul leaving from Phoenix this morning. It's the first time that the Postal Service has contracted with an autonomous provider for long-haul service. "This pilot is just one of many ways the Postal Service is innovating and investing in its future," the USPS said in a press release that cited the possibility of using "a future class of vehicles" to improve service, reduce emissions and save money.


New openSAP Course on Ethical Artificial Intelligence SAP News Center

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SAP SE (NYSE: SAP) today said it will offer a new course on the openSAP platform that focuses on the ethical implications when developing and interacting with artificial intelligence (AI). Creating Trustworthy and Ethical Artificial Intelligence, offered June 25 through July 24, is geared toward all leaders, professionals, developers and general users of AI technology. "The potential for AI and machine learning is great, and the technology has already had significant impact in automating tasks and efficiently analyzing data sets," said Bernd Welz, chief knowledge officer, SAP. "As this technology continues to evolve and becomes further engrained in our society, it's important that we take the necessary steps to ensure that its development and continued application are carried out in an ethical way. Through this course, we're showing learners how they can keep ethics in the forefront when developing AI- and machine learning–enabled technologies."


Legal Tech Veteran Alex Su Joins Evisort From Logikcull as Artificial Intelligence for Contracts Comes of Age

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Evisort, an artificial intelligence (AI) technology company, today announced the appointment of legal tech veteran Alexander Su (Alex) as its Director of Business Development. Su previously led the sales team at Logikcull, an eDiscovery automation company that grew revenue from 0 to $10M in just 19 months. Su's move is the latest in a recent trend of leadership talent being drawn to Evisort due to its explosive growth this year. Over the past decade, Su has been uniquely positioned to observe the evolution of legal technology. Earlier in his career, Su managed numerous discovery workflows as an associate at Sullivan & Cromwell.


Blue Prism buys Thoughtonomy. Clearly a great deal for…Thoughtonomy

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Blue Prism yesterday announced the acquisition of Thoughtonomy, a SaaS-based integrated automation platform with Blue Prism RPA baked into its core. After six years and much flirting with potential suitors, Terry Walby's Thoughtonomy successfully exits into the welcoming arms of Blue Prism. This was always the logical end-game for Terry's business, which he bootstrapped from day 1 and tirelessly pushed at the automation world. HFS was particularly inspired with the firms work at the UK's National Health Services (NHS) (which you can read here). Essentially Thoughtonomy is RPA cognitive capabilities cloud.


AI in Oil & Gas Market to Exceed $2.85 Billion by 2022 - Press Release - Digital Journal

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AI in Oil & Gas market is projected to grow from an estimated USD 1.57 Billion in 2017 to USD 2.85 Billion by 2022, at a CAGR of 12.66% from 2017 to 2022. Northbrook, IL -- (SBWIRE) -- 06/20/2019 -- AI in Oil & Gas market is expected to grow from an estimated USD 1.57 Billion in 2017 to USD 2.85 Billion by 2022, at a CAGR of 12.66%, during the forecast period. The growth of AI in Oil & Gas market will be mainly driven by the rise in adoption of the big data technology in the Oil & Gas industry to augment E&P capabilities, a significant increase in venture capital investments, and growing need for automation in the Oil & Gas industry, and tremendous pressure to reduce production costs. Software in AI in Oil & Gas market is applicable in upstream Oil & Gas exploration and production activities. The hardware segment in AI in Oil & Gas market is expected to grow swiftly during the forecast period (2017 to 2022), mainly due to the increasing requirement for sophisticated hardware system configurations and components capable of handling massive data, including, but not limited to Tensor Processor Unit (TPU), Graphic Processing Unit (GPU), Resistive Processing Unit (RPU), Field Programmable Gate Array (FPGA), and Visual Processing Unit (VPU) to install software-based AI capabilities.


AI in Oil & Gas Market to Exceed $2.85 Billion by 2022 - Press Release - Digital Journal

#artificialintelligence

AI in Oil & Gas market is projected to grow from an estimated USD 1.57 Billion in 2017 to USD 2.85 Billion by 2022, at a CAGR of 12.66% from 2017 to 2022. Northbrook, IL -- (SBWIRE) -- 06/20/2019 -- AI in Oil & Gas market is expected to grow from an estimated USD 1.57 Billion in 2017 to USD 2.85 Billion by 2022, at a CAGR of 12.66%, during the forecast period. The growth of AI in Oil & Gas market will be mainly driven by the rise in adoption of the big data technology in the Oil & Gas industry to augment E&P capabilities, a significant increase in venture capital investments, and growing need for automation in the Oil & Gas industry, and tremendous pressure to reduce production costs. Software in AI in Oil & Gas market is applicable in upstream Oil & Gas exploration and production activities. The hardware segment in AI in Oil & Gas market is expected to grow swiftly during the forecast period (2017 to 2022), mainly due to the increasing requirement for sophisticated hardware system configurations and components capable of handling massive data, including, but not limited to Tensor Processor Unit (TPU), Graphic Processing Unit (GPU), Resistive Processing Unit (RPU), Field Programmable Gate Array (FPGA), and Visual Processing Unit (VPU) to install software-based AI capabilities.


Global Healthcare Cognitive Computing Market Report 2019 7ᵗʰ edition Top Companies, Sales, Revenue, Forecast and Detailed Analysis - Market Trends

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Healthcare Cognitive Computing market report is based on present industry situations, market demands, business strategies utilized by prominent players involved in this market along with their growth synopsis. This report has been segmented into types, applications and regions. The report also comprises major drivers boosting this market. Healthcare Cognitive Computing market worth about XX million USD in 2018 and it is expected to reach YY million USD in 2026 with a CAGR of AA% during the forecast period. Cognitive computing (CC) describes technology platforms that are based on the scientific disciplines of artificial intelligence and signal processing.


Text IQ, a machine learning platform for parsing sensitive corporate data, raises $12.6M – TechCrunch

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Text IQ, a machine learning system that parses and understands sensitive corporate data, has raised $12.6 million in Series A funding led by FirstMark Capital, with participation from Sierra Ventures. Text IQ started as co-founder Apoorv Agarwal's Columbia thesis project titled "Social Network Extraction From Text." The algorithm he built was able to read a novel, like Jane Austen's "Emma," for example, and understand the social hierarchy and interactions between characters. This people-centric approach to parsing unstructured data eventually became the kernel of Text IQ, which helps corporations find what they're looking for in a sea of unstructured, and highly sensitive, data. The platform started as a tool used by corporate legal teams.


An AI "vaccine" can block adversarial attacks

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For as smart as artificial intelligence systems seem to get, they're still easily confused by hackers who launch so-called adversarial attacks -- cyberattacks that trick algorithms into misinterpreting their training data, sometimes to disastrous ends. In order to bolster AI's defenses from these dangerous hacks, scientists at the Australian research agency CSIRO say in a press release they've created a sort of AI "vaccine" that trains algorithms on weak adversaries so they're better prepared for the real thing -- not entirely unlike how vaccines expose our immune systems to inert viruses so they can fight off infections in the future. CSIRO found that AI systems like those that steer self-driving cars could easily be tricked into thinking that a stop sign on the side of the road was actually a speed limit sign, a particularly dangerous example of how adversarial attacks could cause harm. The scientists developed a way to distort the training data fed into an AI system so that it isn't as easily fooled later on, according to research presented at the International Conference on Machine Learning last week. "We implement a weak version of an adversary, such as small modifications or distortion to a collection of images, to create a more'difficult' training data set," Richard Nock, head of machine learning at CSIRO, said in the press release.


Fintech Startup Active.Ai Raises $3 Mn In Series A Extension From VC Unit Of Spain's Banking Group IndianWeb2.com

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Fintech startup Active.ai, that delivers conversational banking through artificial intelligence (AI), has raised $3 million from Innocell, the venture capital arm of Spanish banking group Banco Sabadell, in an extension of its Series A funding round. With this, its total funding from the current round has touched over $11 million. Headquartered in Singapore, Active.ai raised $8.25 million in Series A back in November 2017, which was led by Vertex Ventures, with contributions from CreditEase, Dream Incubator, Kalaari Capital and IDG Ventures. The existing investors have contributed in this round too in order to retain their stakes. With this round of funding and partnership, Active.ai