Apple has launched a cheaper version of its iPhone SE as it attempts to continue normal business despite the coronavirus pandemic. The second-generation SE resembles Apple's previous design used for its smartphones between 2014 and 2017, complete with the traditional touch ID home button instead of face recognition. It costs from £419 in the UK and $399 in the US. The new phone is a follow-up to the entry-level SE from 2016, which reused the design of the iPhone 5S. The new SE replaces 2017's iPhone 8, which was until recently the cheapest iPhone on sale, costing £479 in the UK and $449 in the US. The second-generation SE has a 4.7in retina HD LCD screen, making it one of the few smaller smartphones available.

Since we launched the Coronavirus Response Initiative on March 12, more than 2,600 colleges and universities around the world have activated Coursera for Campus programs to take learning online and minimize student disruption. We're humbled by the global response and are working hard to be even more useful to universities who need to move online quickly. As universities go live using our offering, they urgently need an easy solution to help identify courses on Coursera that most closely match each course in their on-campus catalogues. Manual curation is too slow when it's to be done across thousands of universities and millions of on-campus courses, especially when faculty and staff are already stretched thin. Two weeks ago, the Data Science team at Coursera started developing a natural language processing solution to automate the matching and minimize the need for human curation.

Aiming to facilitate logistics by bringing predictive approaches to transportation and delivery processes, FarEye received an investment of $ 25 million in the D Series investment tour led by Microsoft's corporate venture fund M12. Aiming to facilitate logistics by bringing predictive approaches to transportation and delivery processes, FarEye received an investment of $ 25 million in the D Series investment tour led by Microsoft's corporate venture fund M12. Eight Roads Ventures, Honeywell Ventures and SAIF Partners, one of the venture's previous investors, were the new tour participants. FarEye, which currently has more than 350 employees, aims to increase the number of employees over 500 in a short time. He states that he will use the new investment he received in Europe, Asia and the USA to increase the capabilities of the platform, gain more customers and open to new markets.

Origami Surgical last week filed an SEC Form D to confirm the sale of more than $2.2 million in an equity offering.The Madison, N.J.-based company, founded this year, filed a new notice for the sale of equity on March 23, 2020, with the intention of the offering lasting less than a year. According to the Form D filing, Origami Surgical's offering is not being made in connection with a business combination transaction, such as a merger, acquisition or exchange offer. Two investors contributed to the sale of $2,224,998 in the equity offering that is set to bring in $2,499,996, leaving $274, 998 left to be sold. Origami Surgical did not list an intended use of proceeds. The company develops the StitchKit, which it touts as the first suture system designed to improve endoscopic robotic surgery outcomes by increasing efficiency, autonomy and safety, according to the company website.

The tech industry is entering a new age, one in which innovation has to be done responsibly. "It's very novel," says Michael Kearns, a professor at the University of Pennsylvania specialising in machine learning and AI. "The tech industry to date has largely been amoral (but not immoral). Now we're seeing the need to deliberately consider ethical issues throughout the entire tech development pipeline. I do think this is a new era."

A new robot learning system that can learn about physical attributes of the environment through its own experiences in the real world, without the need for simulations or human supervision. University of California, Berkeley (UC Berkeley) researchers have developed a robot learning system that can learn about physical attributes of the environment through its own experiences in the real world, without the need for simulations or human supervision. BADGR: the Berkeley Autonomous Driving Ground Robot autonomously collects data and automatically labels it. The system uses that data to train an image-based neural network predictive model, and applies that model to plan and execute actions that will lead the robot to accomplish a desired navigational task. UC Berkeley's Gregory Kahn wrote, "The key insight behind BADGR is that by autonomously learning from experience directly in the real world, BADGR can learn about navigational affordances, improve as it gathers more data, and generalize to unseen environments."

CollabNet VersionOne, XebiaLabs, and Arxan Technologies today announced their combination and strategic transformation to Digital.ai, a new software company that brings together leaders in business agility, software delivery, and application security into one integrated, intelligent value stream platform. Backed by TPG Capital, Digital.ai is on a mission to revolutionize how enterprises create, measure, deliver, secure, and continuously improve digital products that provide value, fuel revenue growth, and enable innovation in today's rapidly changing world. The Digital.ai Value Stream Platform seamlessly integrates all the disparate tools and processes across value streams, uses data and AI/ML to create connective tissue between them, and provides enterprises with the real-time, contextual insights they need to drive and sustain their digital transformation and produce great business outcomes. By streamlining processes across teams and providing continuous feedback loops throughout the development lifecycle, organizations can focus on what matters most to drive efficiencies, reduce costs, and create meaningful value for customers. "In these challenging times, your digital presence is your business. Digital.ai enables enterprises to focus on business outcomes instead of outputs, unifying value creation, delivery, and protection practices to drive efficiencies and create engaging, secure digital experiences that customers value and trust," said Ashok Reddy, CEO of Digital.ai.

Plano, TX - April 15, 2020 - CollabNet VersionOne, XebiaLabs, and Arxan Technologies today announced their combination and strategic transformation to Digital.ai, a new software company that brings together leaders in business agility, software delivery, and application security into one integrated, intelligent value stream platform. Backed by TPG Capital, Digital.ai is on a mission to revolutionize how enterprises create, measure, deliver, secure, and continuously improve digital products that provide value, fuel revenue growth, and enable innovation in today's rapidly changing world. The Digital.ai Value Stream Platform seamlessly integrates all the disparate tools and processes across value streams, uses data and AI/ML to create connective tissue between them, and provides enterprises with the real-time, contextual insights they need to drive and sustain their digital transformation and produce great business outcomes. By streamlining processes across teams and providing continuous feedback loops throughout the development lifecycle, organizations can focus on what matters most to drive efficiencies, reduce costs, and create meaningful value for customers. "In these challenging times, your digital presence is your business. Digital.ai enables enterprises to focus on business outcomes instead of outputs, unifying value creation, delivery, and protection practices to drive efficiencies and create engaging, secure digital experiences that customers value and trust," said Ashok Reddy, CEO of Digital.ai.

Artificial intelligence is a bit of a buzz term these days – but what do people really mean when they say AI? And why should local governments care? First of all, AI is extremely misunderstood. We aren't talking about HAL from "2001: A Space Odyssey," necessarily; we're talking about what Alan Turing speculated about "thinking machines" back in the 1950s. According to the Brookings Institute, AI is generally thought to refer to "machines that respond to stimulation consistent with traditional responses from humans, given the human capacity for contemplation, judgment and intention."

There are many aspects to AI, from training data to AI architecture to collecting AI system outputs applying it. Each aspect is best suited for certain strategies to maximize patent protection. This presentation will provide in-depth information on patent and other IP trends for cutting edge AI technology. Points covered will include identifying AI technology suitable for patent protection, identifying whether and when to pursue patent protection for AI, and trends in patent protection for AI. Speaker Bio Steve Bachmann is the founder of Bachmann Law Group, specialized in patent and intellectual property matters, and has practiced IP law in Silicon Valley for 20 years.