When it comes to contracts, every business learns to deal with several important contractual facts of life. One is that contracts need to accurately protect the company's business interests while adhering to acceptable legal practices and regulatory requirements in relevant jurisdictions. Another is that contracts must be faithfully administered in order to serve their basic business functions. Finally, contract management costs a lot. It is the cost of creating and administering contracts inefficiently.

Observe.ai, an artificial intelligence-based startup that focusses on voice conversations for customer service, has raised $26 million (approximately Rs 184.16 crore at current exchange rates) in its Series A funding round from a clutch of investors. California-based venture capital firm Scale Venture Partners led the investment round, Observe.ai said in a statement. Other investors that participated in the round include Nexus Venture Partners, Steadview Capital, 01 Advisors and Emergent Ventures. The company said it will use the funds to expand its US and India teams, and will also accelerate its product development. Swapnil Jain, co-founder and chief executive officer at Observe.ai, said the investment will fuel the firm's mission to elevate agent performance through AI-based coaching and insights The latest investment takes the total funding raised by Observe.ai

I'm in the middle seat of a Chrysler Pacifica minivan, heading north on Dobson Road in Chandler, Arizona, when I notice we may have taken a wrong turn. Under normal circumstances, I would just lean forward and ask the driver for an explanation. There is, after all, no driver to ask. Last October, Alphabet's self-driving subsidiary Waymo emailed its customers in the suburbs of Phoenix to let them know that "completely driverless Waymo cars are on the way." For several years, Waymo has offered its autonomous taxi service to a small group of people, but the rides typically included a safety driver behind the steering wheel. Now, Waymo is saying more of those rides will take place sans safety driver, a sign that the company is growing confident in the accuracy of its technology.

Like Google, Uber, and countless other startups and tech giants, Lyft is developing cars it hopes will someday ferry passengers sans driver -- a task that's easier said than done. In a Medium post published this morning, Lyft's Level 5 team -- the division devoted to autonomous vehicle (AV) research and development -- laid out a few of the challenges its engineers have encountered to date, while pulling back the curtains on solutions and general progress. Picture this: A car driving down a freeway encounters another car cutting across multiple lanes to make an exit. Preventing a collision would require the first car to slow down, but just how dramatic should that slowdown be? Lyft's self-driving prototypes tap what the company calls a "human-inspired" planning approach to determine this.

IMAGE: Schematic diagram of the proposed multichannel deep neural network model analyzing multiscale functional brain connectome for a classification task. OAK BROOK, Ill. - Deep learning, a type of artificial intelligence, can boost the power of MRI in predicting attention deficit hyperactivity disorder (ADHD), according to a study published in Radiology: Artificial Intelligence. Researchers said the approach could also have applications for other neurological conditions. The human brain is a complex set of networks. Advances in functional MRI, a type of imaging that measures brain activity by detecting changes in blood flow, have helped with the mapping of connections within and between brain networks.

INDIA'S government wants to build one of the largest facial recognition systems in the world. But critics warn it could be a blow to citizens' rights. The country's National Crime Records Bureau (NCRB) has invited bids to develop a nationwide facial recognition system that can automatically identify people from CCTV feeds and images uploaded through a mobile app. The NCRB says it will help police catch criminals, find missing people and identify dead bodies. The technology works by scanning the structure of people's faces and comparing the results …

The ADAPT Centre at Trinity College Dublin has received funding to hire a start-up founder to spin-out the business start-up Darwin & Goliath http://darwingoliath.com in the field of recommendations-as-a-service. The position is to be filled with a product manager, machine-learning engineer, software engineer, or software architect. The person is expected to work together very closely with the project lead and Business Administrator. Both will be responsible for developing a recommender-system as-a-service that uses unique machine-learning technology, which is based on the research of Professor Joeran Beel who is the project lead. This position is flexible in the responsibilities and open to focus more on either software engineering / machine-learning or on the architectural and product management part.

Many a middle school science teacher has dripped a few drops of potassium iodide into hydrogen peroxide and watched the delight of their students as a volcano of foam erupted from the container. This experiment is often the way young people first learn about catalysts as something that that can induce a chemical reaction. But catalysts can make more than foam. As those young people grow into young scientists, they learn that catalysis--the acceleration of a chemical reaction by a catalyst--is a key process in the creation of just about everything. From the plastics that make up our medical equipment, to the gasoline in our cars, to the paint that colors our homes--none of these could exist without catalysts.

CPO Rising's Technology Round-Up returns today with an assortment of supply management technology news and updates from the past month to share with our community. If you are a sourcing, procurement, or spend management solution provider and you are continually innovating the way that procurement and supply chain leaders and practitioners drive value, we'd love to hear from you. Please drop us a note at editor at cporising dot com. Late last month, at the WeAreDevelopers Congress in Vienna, JAGGAER unveiled its neural network-based Automatic Spend Classification tool. It leverages elements of artificial intelligence (AI), namely natural language processing (NLP) and neural networks, to analyze text descriptions, product names, and product numbers within invoices and other documents.

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