SAN FRANCISCO–(BUSINESS WIRE)–INDUS.AI, a construction software company using computer vision to track and analyze construction project performance in real-time, announced today that it has received an $8 million Series A investment led by Millennium New Horizons with additional participation from strategic investors Foundamental and Groundbreak Ventures. Previous investors Spero Ventures, UP2398, and Bootstrap Labs also joined the round. The new funding will be used to accelerate product development and expand sales, marketing and customer success services. "The construction industry has been a neglected space for too long. This country expends extraordinary energy and capital to build amazing things – tunnels, train stations, skyscrapers and stadiums. But the sad truth is that the vast majority of those projects are painfully over-budget and delayed," said Matt Man, CEO and co-founder.
SAN FRANCISCO, September 17, 2019 -- Oracle Exadata Database Machine X8M, available today, sets a new bar and changes the dynamics of the database infrastructure market. Exadata X8M combines Intel Optane DC persistent memory and 100 gigabit remote direct memory access (RDMA) over Converged Ethernet (RoCE) to remove storage bottlenecks and dramatically increase performance for the most demanding workloads such as Online Transaction Processing (OLTP), analytics, IoT, fraud detection, and high frequency trading. "With Exadata X8M, we deliver in-memory performance with all the benefits of shared storage for both OLTP and analytics," said Juan Loaiza, executive vice president, mission-critical database technologies, Oracle. "Reducing response times by an order of magnitude using direct database access to shared persistent memory accelerates every OLTP application, and is a game changer for applications that need real-time access to large amounts of data such as fraud detection and personalized shopping." Exadata X8M helps customers perform existing tasks faster and accelerates time-to-insight, while also enabling deeper and more frequent analyses.
SAN FRANCISCO: The food on your plate might look fresh and inviting, but how safe is it for your health? In the next five years you should be able to know that, according to findings by a team of researchers at IBM, the Armonk, New York-based tech giant. They say the situation will change as AI software in your smartphone will scan your food for bacteria and tell you if it is safe enough to eat. This is one of its five famous path-breaking innovations the company believes would change the world. The tech behemoth, which reported about $80 billion in revenues last calendar year, said that it has developed an optical device, called IBM Verifier, that can be attached to smartphones to detect pathogens.
SAN JOSE, Calif., Jan. 25, 2019 -- Guavus, a Thales company and pioneer in Artificial Intelligence (AI)-based analytics, announced today that it has acquired SQLstream, a real-time streaming analytics company based in San Francisco, CA. The acquisition enables Guavus to expand its offering, providing communications service providers (CSPs) and Industrial Internet of Things (IIoT) customers access – at the network edge – to real-time, cloud-enabled streaming analytics to address their growing big data needs. "With our integrated solutions, CSPs to IIoT customers will be able to take advantage of something that's radically different as we deliver AI-powered analytics from the network edge to the network core. With this solution, our customers can now analyze their operational, customer, and business data anywhere in the network in real time, without manual intervention, so they can make better decisions, provide smarter new services, and reduce their costs," said Guavus CEO, Faizel Lakhani. "In a world facing exponential growth in the volume of data coming from increasingly connected network devices and IIoT-based sensors, the inclusion of SQLstream's industry-leading technology opens up huge new opportunities for our customers and our partners. Their disruptive technology allows customers to interactively inspect and curate streaming data for analytics at the edge. We're excited to have the SQLstream team onboard," said Lakhani.
Machine learning is complex, but nonetheless has pushed its way to professional and maker communities alike. Nvidia has lead much of this with their TK1 and TX1 modules; now, with the new release of the Jetson TX2, the AI capabilities we have access to have just doubled. The new hardware, announced last night at a press event in San Francisco, retains the same form factor as the TX1 -- roughly the size of a credit card, it's meant as a drop-in replacement. It replaces the TX1's Mawell GPU with a Pascal unit, doubles the TX1's storage and memory, and increases its video encoding and decoding specs. With it, the company states that it can get either twice the performance of the TX1 (handling object detection and tracking from two 4K cameras simultaneously), or get double the efficiency running the same configuration as a TX1.
Andrew Greenstein, an app developer from San Francisco, started journaling a few months ago. He tries to write for five minutes every day, but it's challenging to set aside the time. Still, he's read that journaling reduces stress and can help with goal-setting, so he's trying to make it a habit. At the Disrupt London Hackathon, Greenstein and his team built The Emotion Journal, a voice journaling app that performs real-time emotional analysis to detect the user's feelings and chart their emotional state over time. By day, Greenstein is the CEO of SF AppWorks, a digital agency.
If you've been out on the streets of Silicon Valley or New York City in the past nine months, there's a good chance that your bad driving habits have already been profiled by Nexar. This U.S.-Israeli startup is aiming to build what it calls "an air traffic control system" for driving, and has just raised an extra 10.5 million in venture capital financing. Since Nexar launched its dashcam app last year, smartphones running it have captured, analyzed, and recorded over 5 million miles of driving in San Francisco, New York, and Tel Aviv. The company's algorithms have now automatically profiled the driving behavior of over 7 million cars, including more than 45 percent of all registered vehicles in the Bay Area, and over 30 percent of those in Manhattan. Using the smartphone's camera, machine vision, and AI algorithms, Nexar recognizes the license plates of the vehicles around it, and tracks their location, velocity, and trajectory.