Gartner Says These 7 Technologies Will Disrupt Sales

Gartner just published a report that should be a wake-up call for anyone in sales.

What it is

Analyst firm Gartner says sales leaders need to “recognize, prioritize, and respond” to seven technologies that will disrupt and transform sales over the next five years.

All seven are powered by artificial intelligence:

  1. Generative AI — AI that creates text, images, video, code, and any other digital output.
  2. Digital twin of the customer — A virtual clone of a potential customer which mirrors the preferences of the customer in real life.
  3. …..

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“Wobbling black hole” is by far the most extreme example ever detected

Gravitational waves identify what could be a rare one-in-1000 event


Researchers at Cardiff University have identified a peculiar twisting motion in the orbits of two colliding black holes, an exotic phenomenon predicted by Einstein’s theory of gravity. Their study, which is published in Nature and led by Professor Mark Hannam, Dr Charlie Hoy and Dr Jonathan Thompson, reports that this is the first time this effect, known as precession, has been seen in black holes, where the twisting is 10 billion times faster than in previous observations.

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Once upon a bot: can we teach computers to write fiction? | Fiction | The Guardian

They submit manuscripts on time. They never suffer writer’s block. And they don’t spend hours Googling their Amazon sales. There’s just one thing wrong with robot authors – their stories stink. Tom Meltzer talks to the scientists teaching creative writing to the next generation of androids, while Nicholas Lezard reviews the latest robot fiction

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AI models can now continually learn from new data on intelligent devices like smartphones

A new technique enables on-device training of machine-learning models on edge devices like microcontrollers, which have very limited memory. This could allow edge devices to continually learn from new data, eliminating data privacy issues, while enabling user customization.


Microcontrollers, miniature computers that can run simple commands, are the basis for billions of connected devices, from internet-of-things (IoT) devices to sensors in automobiles. But cheap, low-power microcontrollers have extremely limited memory and no operating system, making it challenging to train artificial intelligence models on “edge devices” that work independently from central computing resources.


Training a machine-learning model on an intelligent edge device allows it to adapt to new data and make better predictions. For instance, training a model on a smart keyboard could enable the keyboard to continually learn from the user’s writing. However, the training process requires so much memory that it is typically done using powerful computers at a data center, before the model is deployed on a device. This is more costly and raises privacy issues since user data must be sent to a central server.


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Are aliens real? Do aliens exist? NASA awards grant to look for techno-signatures

Adam Frank, a professor of physics and astronomy at the University of Rochester, has received a grant from NASA that will enable him to begin to answer these questions. The grant will fund his study of techno-signatures—detectable signs of past or present technology used on other planets. This is the first NASA non-radio techno-signature grant ever awarded and represents an exciting new direction for the search for extraterrestrial intelligence (SETI). The grant will allow Frank, along with collaborators Jacob-Haqq Misra from the international non-profit organization Blue Marble Space, Manasvi Lingam from the Florida Institute of Technology, Avi Loeb from Harvard University, and Jason Wright from Pennsylvania State University, to produce the first entries in an online techno-signature library.


A civilization, by nature, will need to find a way to produce energy, and, Frank says, “there are only so many forms of energy in the universe. Aliens are not magic. SETI has always faced the challenge of figuring out where to look,” Frank says. “Which stars do you point your telescope at and look for signals? Now we know where to look. We have thousands of exoplanets including planets in the habitable zone where life can form. The game has changed.”

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Microsoft and Meta partner to deliver immersive experiences for the future of work and play | #Metaverse 

As a platform company, our approach to workplace productivity and collaboration is to ensure the software experiences we deliver can benefit users on all their favorite devices. In that spirit, today we are announcing several ways we are partnering with Meta to provide customers with more choice and security as they venture into the metaverse.

First, we are bringing Mesh for Microsoft Teams to Meta Quest devices. Mesh for Teams builds on years of research and Microsoft Cloud innovation, from Azure Digital Twins to Dynamics 365 Remote Assist and Teams video meetings. It is designed to help people gather virtually in the place where work happens on any device, including smartphones, laptops and mixed-reality headsets. Mesh for Teams with Meta Quest Pro and Meta Quest 2 devices will enable people to connect and collaborate as though they are together in person.


Learn more / En savoir plus / Mehr erfahren:


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Battery-free, wireless underwater camera developed using energy from sound waves

MIT researchers built a battery-free, wireless underwater camera, powered by sound waves, that can take high-quality, color images, even in dark environments. It transmits image data through the open water to a receiver that reconstructs the color image.


Scientists estimate that more than 95 percent of Earth’s oceans have never been observed, which means we have seen less of our planet’s ocean than we have the far side of the moon or the surface of Mars. The high cost of powering an underwater camera for a long time, by tethering it to a research vessel or sending a ship to recharge its batteries, is a steep challenge preventing widespread undersea exploration.


MIT researchers have taken a major step to overcome this problem by developing a battery-free, wireless underwater camera that is about 100,000 times more energy-efficient than other undersea cameras. The device takes color photos, even in dark underwater environments, and transmits image data wirelessly through the water. The autonomous camera is powered by sound. It converts mechanical energy from sound waves traveling through water into electrical energy that powers its imaging and communications equipment. After capturing and encoding image data, the camera also uses sound waves to transmit data to a receiver that reconstructs the image.


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