Artificial intelligence (AI) is poised to have a transformative impact on primary care, a recent journal article says. AI technology is starting to be applied across the healthcare sector, including digital clinical decision support tools and natural language processing. With more than 500 million patient visits annually, primary care is a prime area for AI to have a revolutionary effect on healthcare. "Primary care is where the power, opportunity, and future of AI are most likely to be realized in the broadest and most ambitious scale," the authors of the recent article in Journal of General Internal Medicine (JGIM) wrote. The journal article identifies 10 primary care areas where AI is either already generating benefits or expected to gain traction.

A secret, pre-CIA field manual for sabotaging enemy organizations during WWII identified two ways of undermining an organization: physical damage (think: pulling out wires and destroying equipment) and human obstruction of processes (think: all the dysfunctional habits companies still struggle with today). When he shares the list of sabotaging tactics with executives today, HBS professor Stefan Thomke finds "that their reaction usually starts with laughter ('I see this in my company.'), Up until last Wednesday, the answer was probably "no." In fact, for years, even the most sophisticated AI systems have been unable to match the language and logic skills students are expected to have mastered before entering high school. But last week (just in time for back to school), the Allen Institute for Artificial Intelligence announced big news about its new system, Aristo -- it passed.

Newswire) VSBLTY Groupe Technologies Corp. (CSE: VSBY) (5VS.F) (VSBGF) ("VSBLTY"), a leading retail software technology company, and Energetika, an international provider of "intelligent lighting" solutions, today formalized a definitive three-year agreement to provide real time crowd analytics and audience measurement for Latin American communities. Energetika is a leading provider of smart lighting solutions for economically efficient applications that incorporate security. Energetika's efficient lighting and Smart Energy solutions for residential, commercial and governmental applications will now incorporate VSBLTY's security technology that includes crowd analytics and facial recognition. The contract, which expires August 30, 2022 and is renewable for successive terms, was announced jointly by Jay Hutton, VSBLTY co-founder and CEO, and Rodrigo Calderon, Energetika co-founder and CEO. In making the announcement, Hutton said, "We are pleased to formalize a long-term contract with Energetika. We will be providing advanced analytics as well as public safety applications including tracking of persons of interest, weapon detection, and vehicle and crowd analytics using the power of machine learning and computer vision. This contract is expected to generate more than $10 million USD in SaaS revenue to VSBLTY in the initial three years."

Machine Learning (ML) is extensively considered as a major factor responsible for driving digital transformation. According to a report titled Machine Learning in 2019: Tracing The Artificial Intelligence Growth Path, ML will reach cumulative investments of $58 billion by the end of 2021. Here we have analyzed five trends that will shape the future of most prominent and fastest-growing technology'Machine Learning' in the next few years. To stay ahead of the curve, read to discover trends and predictions about the Internet of Things (IoT), Digital Transformation, Supply Chain and Blockchain technologies for 2019. Machine learning as a service (MLaaS): There is a great likelihood of machine learning being offered as a cloud-based service given its increased incorporation in business applications in recent times.

Cambridge's relentless technology gamechanger, Arm, is exploring the long-term potential of three emergent technologies – AI, 5G and secure IoT – at Arm TechCon 2019 in San Jose next month. Chief executive Simon Segars says all these technologies are converging to enable more meaningful data insights and fuel a shift into "a new era of total compute." At the epicentre of this convergence is the Arm ecosystem whose technologies spanning multiple sectors – including mobile, infrastructure, automotive, and more – will be showcased at Arm TechCon 2019 from October 8-10. It is Arm's 15th annual such event. Segars says Arm and automotive industry leaders will use the California platform to share insights on progress in developing safe, autonomous vehicle platforms.

When New York City introduced its first automated traffic lights in 1924, it was employing an army of 6,000 traffic cops to switch signals manually to keep the Studebakers and Model Ts from jamming intersections. Over the next two years, 92% of those jobs were automated out of existence. Yet most of the officers came out just fine, thanks to a retraining program that let them land new jobs fixing the very stoplights that took their old job. Almost a century later, we're seeing this pattern repeat itself, as it has countless times over the decades. This time the automation is coming from AI and machine learning, related technologies poised to make significant inroads on the 6.3 million jobs in finance.

Recognizing the pervasivetalent gapthat exists between data scientists and data workers in the line of business, Assisted Modeling helps teach data science with a guided walk-through and aims to help all data workers, regardless of technical acumen, advance their skill sets in the process of building machine learning models. Our approach in building Assisted Modeling is to advance the skills of the data worker, creating next-level citizen data scientists capable of building the machine learning models required to tackle the advanced analytic challenges of the future. Assisted Modeling provides users the transparency and control needed to build trustworthy machine learning models that drive business outcomes without writing a line of code. As an output of the application, users can access code-free machine learning tools directly within the Alteryx Designer interface. Assisted Modeling allows any data worker to construct machine learning models, understand how and why their models work, and capture modeling decisions, turning raw data into informed business decisions with unprecedented speed and confidence.

A Molecule Designed by AI Exhibits'Druglike' Qualities Gregory Barber Wired "Lots of people are designing machine learning pipelines to produce virtual molecules, but relatively few have published research validating the work in the lab. Insilico's work takes an extra step forward, AlQuraishi adds, in showing that its AI can be tailored to generate molecules that not only bind to a particular target, but behave well in cells and animals." Biohackers Are Pirating a Cheaper Version of a Million-Dollar Gene Therapy Alex Pearlman MIT Technology Review "i'This was developed in a shed in Mississippi, a warehouse in Florida, a bedroom in Indiana, and on a computer in Austria,' says Gabriel Licina, a biohacker based in South Bend, Indiana. He says the prototype gene therapy cost less than $7,000 to create." Soft Self-Healing Materials for Robots That Cannot Be Destroyed Evan Ackerman IEEE Spectrum "…fixing things involves a human first identifying when they're broken, and then performing a potentially skill, labor, time, and money intensive task. SHERO's soft materials will, eventually, make this entire process autonomous, allowing robots to self-identify damage and initiate healing on their own."

In this panel discussion at the Webit.Festival, one of the largest technology events in Europe, Dr. Ben Goertzel (CEO & Co-Founder SingularityNET), Jesus Mantas (Managing Partner & GM IBM Business Consulting), and author Leah Hunter discuss the possible beneficial and harmful consequences of AI - and what steps can be taken to ensure that the technology is benevolent for all. We aim to create the world's global brain with a full-stack AI solution powered by a decentralized protocol. We gathered the leading minds in machine learning and blockchain to democratize access to AI technology. Now anyone can take advantage of a global network of AI algorithms, services, and agents.