software


Artificial Intelligence, Machine Learning, and Deep Learning: A Primer for Investors @themotleyfool #stocks $GOOGL, $NVDA, $GOOG

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Instead of preprogramming software to complete a specific task, as narrow AI does, machine learning uses algorithms that allow a computer to learn from the vast amounts of data it receives so it can complete a task on its own. International Business Machines uses deep learning powered by NVIDIA's graphics processing units (GPUs) to comb through medical images to find cancer cells. The company makes the graphics processors that are integral in AI, machine learning, and deep learning, and lots of companies already look to NVIDIA's hardware to make their AI software a reality. The Motley Fool owns shares of and recommends Alphabet (A shares), Alphabet (C shares), Amazon, Facebook, and Nvidia.


AI Can Detect Signs Of Alzheimer's Years Before Symptoms Develop

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Now, researchers are using AI scans to detect Alzheimer's almost a decade earlier than doctors making a diagnosis based on symptoms alone. In a study, published earlier this month, researchers developed a machine-learning algorithm to detect Alzheimer's in brain scans 86 percent of the time. Nicola Amoroso, Marianna La Rocco, and colleagues from the University of Bari, Italy, taught AI software to tell the difference between healthy and unhealthy brains using MRI scans from the Alzheimer's Disease Neuroimaging Initiative. The researchers discovered that the algorithm was most effective at analyzing brain regions of 2,250 to 3,200 cubic millimeters – which just so happens to be the same size as anatomical structures associated with the disease (e.g.


Materialize.X is using machine learning to disrupt the $300B engineered wood industry

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The startup also provides engineered wood factories with software that uses machine learning to optimize how their adhesive is used in the production process. For example, right now there's a standard formula for creating engineered wood – you take wood chips, add adhesive, and press them together until they are bonded into the shape you want. On the other hand, others may use legacy adhesive solutions like urea-formaldehyde, but use Materialize.X's machine learning algorithms to optimize their manufacturing process. And the machine learning optimization can be useful in other manufacturing processes unrelated to engineered wood – right now the startup is testing algorithms to improve production in the steel industry.


NVIDIA Launches Metropolis Software Partner Program For Deep Learning Platform

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NVIDIA announces it has brought together a dozen software partners for its Metropolis Software Partner Program. The NVIDIA Metropolis intelligent video analytics platform applies deep learning to video streams for applications such as public safety, traffic management and resource optimization. To make it into our Metropolis Software Partner Program, partners must have production-ready, field-proven solutions. NVIDIA says deep learning solutions are fueling a growing array of use cases, such as helping first responders react to emergencies more quickly and delivering more personalized experiences to shoppers.


Data literacy in high demand; academia responds

@machinelearnbot

A new degree program at Carnegie Mellon University and an online data science training course at MIT are focused on arming those in the workforce with new skills. Shah believes recommendation engines should be built using probabilistic graphical models, which map out relationships between people and, in the case of Amazon, for example, products. "As a result, we're seeing greater demand for software engineers, product managers, data scientists -- and we're seeing that demand in a much broader set of companies." Unlike the school's two-year product management MBA track, the new master's degree is a one-year program for the data literate.


Waymo and Intel Combine to Power the Future of Self-Driving Cars

WIRED

For months now, major companies have been hooking up--Uber and Daimler, Lyft and General Motors, Microsoft and Volvo--but Intel CEO Brian Krzanich's announcement on Monday that the giant chipmaker is helping Waymo, Google's self-driving car project, build robocar technology registers as some seriously juicy gossip. Krzanich said Monday that Waymo's newest self-driving Chrysler Pacificas, delivered last December, use Intel technology to process what's going on around them and make safe decisions in real time. And last year, Google announced it had created its own specialized chip that could help AVs recognize common driving situations and react efficiently and safely. "Our self-driving cars require the highest-performance compute to make safe driving decisions in real-time," Waymo CEO John Krafcik said in a statement.


Flipboard on Flipboard

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Today the company announced Unity Machine Learning Agents--open-source software linking its game engine to machine learning programs such as Google's TensorFlow. It will allow non-playable characters, through trial and error, to develop better, more creative strategies than a human could program, says Lange, using a branch of machine learning called deep reinforcement learning. Google's DeepMind, for instance, has used deep reinforcement learning to teach AI agents to play 1980s video games like Breakout, and, in part, to master the notoriously challenging ancient Chinese game Go. And Nvidia's new Isaac Lab uses rival Epic Games' Unreal Engine to generate lifelike virtual environments for training the algorithms that control actual robots.


Roku might be making its own smart speaker

Mashable

First noticed by Variety, Roku has listed open positions that are specific to tying audio with software. For example, Sr. Software Engineer, New Products, Audio (Expert) requires candidates with experience taking "new hardware platforms from prototype to mass production." The most notable resumé belongs to Jim Cortez, a Senior Software Engineer who works on voice interfaces for the company. He was previously the cofounder of Ivee, a company that makes smart home speakers in the same vein as the Amazon Echo and Google Home.


These Robots Can Merge and Split Their Brains to Form New Modular Bots

IEEE Spectrum Robotics Channel

In a recent paper in Nature Communications, Nithin Mathews, Anders Lyhne Christensen, Rehan O'Grady, Francesco Mondada, and Marco Dorigo from universities in Lisbon, Brussels, and Switzerland, present the idea of a "mergeable nervous systems for robots," with a framework for fully modular robotic systems: We present robots whose bodies and control systems can merge to form entirely new robots that retain full sensorimotor control. Our control paradigm enables robots to exhibit properties that go beyond those of any existing machine or of any biological organism: the robots we present can merge to form larger bodies with a single centralized controller, split into separate bodies with independent controllers, and self-heal by removing or replacing malfunctioning body parts. MNS robots thus constitute a new class of robots with capabilities beyond those of any existing machine or biological organism: An MNS robot can split into separate autonomous robots each with an independent brain unit, absorb robotic units with different capabilities into its body, and self-heal by removing or replacing malfunctioning body parts--including a malfunctioning brain unit. Nithin Mathews: The sensorimotor system that physically connects a robot's central processing unit to its sensors and actuators can be seen as a robotic nervous system--quite similar (at a conceptual level at least) to a biological nervous system of an higher order animal with a single brain controlling its host body.


7 Artificial Intelligence Startups

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By harnessing the power of cognitive computing, Digital Reasoning helps organisations and people make better decisions. Their cloud based SaaS solution is today being used by investment managers to harness it's machine learning abilities to deliver maximum returns to clients. The world leader in Behaviour Analytics technology, Featurespace's ARIC platform helps monitor customer data in real time. Featurespace's solution helps monitor all player data in real time to determine who is at risk of overstepping his limits to ensure timely intervention.The company has won several notable awards for helping promote responsible gambling across the world.