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At microscopic scales, picking, placing, collecting, and arranging objects is a persistent challenge. Advances in nanotechnology mean that there are ever more complex things we’d like to build at those sizes, but tools for moving their component parts are lacking.

Now, new research from the University of Pennsylvania’s School of Engineering and Applied Science shows how simple, microscopic robots, remotely driven by magnetic fields, can use capillary forces to manipulate objects floating at an oil-water interface.

This system was demonstrated in a study published in the journal Applied Physics Letters on January 28, 2020.

STUTTGART, Germany — NATO and its member nations have formally agreed upon how the alliance should target and coordinate investments in emerging and disruptive technology, or EDT, with plans to release artificial intelligence and data strategies by the summer of 2021.

In recent years the alliance has publicly declared its need to focus on so-called EDTs, and identified seven science and technology areas that are of direct interest. Now, the NATO enterprise and representatives of its 30 member states have endorsed a strategy that shows how the alliance can both foster these technologies — through stronger relationships with innovation hubs and specific funding mechanisms — and protect EDT investments from outside influence and export issues.

NATO will eventually develop individual strategies for each of the seven science and technology areas — artificial intelligence, data and computing, autonomy, quantum-enabled technologies, biotechnology, hypersonic technology, and space. But for the near future, the priority is AI and data, said David van Weel, NATO’s assistant secretary general for emerging security challenges.

The idea of using light for computation is far from new, dating back to the 1950s. But electronic computing proved more practical to develop and commercialize. In the 1980s, Bell Labs tried to create a general purpose light-based chip, but it failed due to the difficulty of building a working optical transistor.

Lightmatter says its chips can be dropped into an existing data center and work with most major AI software. Later this year the company plans to launch a new technology for connecting chips, including those made by other companies, using its photonic technology. Light is widely used to shuttle information between computers, using fiber-optic cables.

Harris argues that AI will hit a wall in the next few years because of rising costs and energy use, and because of engineering constraints on the horizon. As engineers try to cram more transistors into a chip to speed up performance, chips may get too hot to manage.

Sherpa, a startup from Bilbao, Spain that was an early mover in building a voice-based digital assistant and predictive search for Spanish-speaking audiences, has raised some more funding to double down on a newer focus for the startup: building out privacy-first AI services for enterprise customers.

The company has closed $8.5 million, funding that Xabi Uribe-Etxebarria, Sherpa’s founder and CEO, said it will be using to continue building out a privacy-focused machine learning platform based on a federated learning model alongside its existing conversational AI and search services. Early users of the service have included the Spanish public health services, which were using the platform to analyse information about COVID-19 cases to predict demand and capacity in emergency rooms around the country.

The funding is coming from Marcelo Gigliani, a managing partner at Apax Digital; Alex Cruz, the chairman of British Airways; and Spanish investment firms Mundi Ventures and Ekarpen. The funding is an extension to the $15 million Sherpa has already raised in a Series A. From what I understand, Sherpa is currently also raising a larger Series B.

The world’s first remote tattoo was completed by a 5G-powered robotic arm fitted with a tiny needle.

Tattoo artist Wes Thomas drew the design on a mannequin arm while a robot in another location copied his motions on Dutch actress Stijn Fransen’s wrist.

The final result is a ‘minimalist’ design that honors Fransen’s love out the outdoors that has been dubbed the ‘Impossible Tattoo.’

A new method called tensor holography could enable the creation of holograms for virtual reality, 3D printing, medical imaging, and more — and it can run on a smartphone.

Despite years of hype, virtual reality headsets have yet to topple TV or computer screens as the go-to devices for video viewing. One reason: VR can make users feel sick. Nausea and eye strain can result because VR creates an illusion of 3D viewing although the user is in fact staring at a fixed-distance 2D display. The solution for better 3D visualization could lie in a 60-year-old technology remade for the digital world: holograms.

Holograms deliver an exceptional representation of 3D world around us. Plus, they’re beautiful. (Go ahead — check out the holographic dove on your Visa card.) Holograms offer a shifting perspective based on the viewer’s position, and they allow the eye to adjust focal depth to alternately focus on foreground and background.

Check out “How Watson Works here.”

Is it possible to live forever by using narrow AI that can perform faster and smarter than humans? Having a doctor give you the correct diagnosis and treatment plan only happens on average, 54% of the time, as the New England Journal of Medicine has pointed out. Having Watson instantly diagnose you with the correct diagnosis and treatment plan 95% of the time will become the new standard. Our crop of new personal medicine products such as continual internal diagnostics, synthetic immune systems, virtual assistants, and regenerative medicine will diagnose and stop sickness from ever occurring while constantly rebuilding and improving body and mind capabilities.

IBM has made a series of Watson computer systems so that any company can raise their industries products and services far beyond our human capability. IBM’s Watson was first featured to the public with its historic Jeopardy win over Ken Jennings and Brad Rutter the best human Jeopardy players. At the time, Watson contained 200 million pages of structured and unstructured content in a ninety server computing system with an analytical software IBM designed called DeepQA. Now, the financial markets, medicine, insurance companies, government, engineering, and customer service call centers are employing (buying) Watson is an artificial intelligence system, that can be specifically tailored to any digitized industry and quickly evolve their industries potential.

Tesla remains the king.

Ranjan KC


The Apple Car. Quite possibly the most hotly anticipated rumour of this decade. And last decade. Years in the making, and still years from its first appearance, what do we know about the Apple Car?

The late Apple co-founder Steve Jobs was said to be thinking about the company’s involvement in the automotive industry way back in 2008, the era of the iPhone 3G. Fast forward a few years and the Project Titan name begins to get thrown around, an Apple project destined to bring autonomous transport to life. More than 1000 employees were transferred onto this project in its early days.

Apple seemingly put all its eggs into this basket though, because in 2016 rumours had it that Project Titan was getting axed. After major staffing changes and leadership issues, the Project remains in operation today with John Giannandrea at the wheel — Apple’s artificial intelligence and machine learning chief.

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