Results


Elon Musk Predicts Tesla's Future and 4 Other Key Takeaways From the Q3 Earnings Call

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Tesla today released an earnings report that made shares soar -- and Wall Street analysts scratch their heads. Earnings came out to $2.90 a share versus expected losses of close to 20 cents per share. The company's net income, $311.5 million, is a far cry from its losses of $619.4 million this time last year. And quarterly revenue topped that of a year ago by more than 70 percent. This was Tesla's third-ever profitable quarter, as well as CEO Elon Musk's last full quarter, for the time being, as chairman of the company he founded 15 years ago.


FLIR Systems Announces Industry-First Deep Learning-Enabled Camera Family

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WILSONVILLE, Ore.--(BUSINESS WIRE)--FLIR Systems, Inc. (NASDAQ: FLIR) today announced the FLIR Firefly camera family, the industry's first deep learning inference-enabled machine vision camera. The FLIR Firefly, which integrates the Intel Movidius Myriad 2 Vision Processing Unit (VPU), is designed for image analysis professionals using deep learning for more accurate decisions, and faster, easier system development. Traditional rules-based software is ideal for straightforward tasks such as barcode reading or checking a manufactured part against specifications. The FLIR Firefly combines a new, affordable machine vision platform with the power of deep learning to address complex and subjective problems such as recognizing faces or classifying the quality of a solar panel. The FLIR Firefly leverages the Intel Movidius Myriad 2 VPU's advanced capabilities in a compact and low-power camera, ideal for embedded and handheld systems.


Synechron deploys AI, data science applications for financial services firms

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Synechron Inc., a New York-based technology consulting and outsourcing firm, has started deploying data science and artificial intelligence-based applications for banking, financial services and insurance companies. These applications, or accelerators, will help financial services companies solve complex business problems by discovering relationships between events that impact one another and cause a future event to happen, the company said in a press release. Faisal Husain, co-founder and chief executive of Synechron, said the data science accelerators provide a powerful causation platform and business-driven use cases for four complex financial services challenges. Synechron said its s AI data science experts have developed a set of accelerators that allow financial services companies to address business challenges related to investment research generation, predicting the next best action for a wealth management client, high-priority customer complaints, and predicting risk on mortgage. The accelerators combine Natural Language Processing, Deep Learning algorithms and data science to solve problems.


Understanding deep learning (part 3): Applications of deep neural networks

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This video has been produced by the Tesseract Academy (http://tesseract.academy), a company whose mission is to educate decision makers in deep technical topics such as data science, AI, and blockchain.


CarePredict Selects Lacuna Health for AI-powered Wellness Platform Collaboration

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CarePredict, a leading AI-driven digital health company based in Fort Lauderdale, Florida and Menlo Park, California, has selected Lacuna Health, a wholly-owned subsidiary of Kindred Healthcare, LLC for an AI-powered Wellness Platform Collaboration. The partnership enables CarePredict to leverage Lacuna Health's highly trained registered nurse (RN) led clinical staff to offer providers a suite of care management enabled predictive health technology products to engage and support seniors and their caregivers. CarePredict, an AI-driven digital health company, develops proprietary connected remote sensing technologies, wearables, and deep learning platforms that continuously observe, learn, and trigger just-in-time care for seniors. CarePredict employs lightweight sensors and wearables, designed for seniors, to unobtrusively and autonomously collect rich data sets on the senior's activity and behaviors. Machine learning and unique kinematics algorithms are used to quantify activities performed by the senior, such as drinking, eating, sleeping, walking, grooming, etc. CarePredict uses these unique data sets to train its deep learning neural nets to surface insights such as signs and symptoms of self-neglect indicative of depression, unusual toileting patterns indicative of a urinary tract infection (UTI), or increased fall risk due to malnutrition, gait changes, lack of rest, and dehydration.


IBM Introduces AI OpenScale to Spur Artificial Intelligence Adoption and Transparency

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IBM (NYSE: IBM) today introduced AI OpenScale, a new technology platform that addresses key challenges of artificial intelligence (AI) adoption, such as concerns over how AI applications make decisions, the global shortage of AI skills and the complexities of working with disparate AI tools from multiple vendors. IBM's new technology platform is the first of its kind. It will enable companies to manage AI transparently throughout the full AI lifecycle, irrespective of where their AI applications were built or in which environment they currently run. AI OpenScale can detect and address bias across the spectrum of AI applications, as those applications are being run. As part of AI OpenScale, IBM also will debut NeuNetS, a major scientific breakthrough in which AI builds AI – making it possible to create complex, deep-neural networks from scratch.


Audi optimizes quality inspections in the press shop with artificial intelligence

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In addition to visual inspection by employees, several small cameras are installed directly in the presses. They evaluate the captured images with the help of image-recognition software. This process will soon be replaced by an ML procedure. Software based on a complex artificial neural network operates in the background of this innovative procedure. The software detects the finest cracks in sheet metal with the utmost precision and reliably marks the spot.


Microsoft acquires AI startup Lobe to help people make deep learning models without code

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Microsoft today announced it has acquired Lobe, creator of a platform for building custom deep learning models using a visual interface that requires no code or technical understanding of AI. Lobe, a platform that can understand hand gestures, read handwriting, and hear music, will continue to develop as a standalone service, according to the company's website. Financial terms of the deal were not disclosed. People have only started to utilize the full potential of AI, Microsoft CTO Kevin Scott said today in a blog post announcing the acquisition. "This in large part is because AI development and building deep learning models are slow and complex processes even for experienced data scientists and developers.


Why it's time to learn more about deep learning

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Deep learning is a subset of machine learning, and chances are you've already used it whether you know it or not. While you most likely have heard the terms deep learning, machine learning, and AI, you might not be as familiar with real-world deep learning solutions. As you might suspect, the terms are interrelated. If it isn't already, deep learning should be on your radar. It is a subset of machine learning, and both fall under the umbrella of artificial intelligence, which refers to systems built to carry out tasks that normally require human input.


Esri Incorporates BuildingFootprintUSA Data for Deep Learning

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WIRE)--Oct 4, 2018--Esri, the global leader in location intelligence, has announced that it is partnering with BuildingFootprintUSA to provide unprecedented, accurate geocoding and address matching to users of Esri's ArcGIS platform in the United States and Canada, as well as a comprehensive training dataset used to improve Esri's machine learning and artificial intelligence. Users in any industry--including government, telecom, insurance, utilities, real estate, and retail--can benefit from the increased geocoding accuracy that comes from using building footprints. Building footprints for the United States and Canada will be available for use by ArcGIS users by the end of the year, closely followed by data for the United Kingdom and Brazil. Esri will also provide the data for advanced geocoding needs through ArcGIS World Geocoding Service, StreetMap Premium for ArcGIS North America, and ArcGIS World Geocoder. This press release features multimedia.