MOUNTAIN VIEW, Calif., Nov. 12, 2019 -- Synopsys, Inc. (Nasdaq: SNPS) today announced that Himax's newly launched artificial intelligence (AI)-enabled WiseEye WE-I Plus ASIC platform has integrated Synopsys' DesignWare ARC Data Fusion IP Subsystem. The WE-I Plus ASIC is designed for application developers deploying CNN-based machine learning (ML) models on artificial intelligence (AI) and IoT applications, including smart home appliances and surveillance systems. "The demand for battery-powered smart devices with AI-enabled intelligent sensing is rapidly growing, especially in markets such as home appliances, door lock, TV, notebook, and building control or security," said David Lyou, executive vice president of Himax Technologies. "Our WiseEye WE-I Plus ASIC Platform, leveraging Synopsys' ARC EM9D processor IP, can be used with popular ML frameworks for the development of a wide range of applications in audio, video, and signal processing where power is a strict constraint and on-device memory is limited. We are receiving positive feedback on our solution from our partners and leading industry players."

Just how worried should we be about killer robots? Amidst all the talk about how artificial intelligence (AI) is threatening society, some experts believe AI shouldn't be feared. Here's why we can embrace the power of technology. Artificial intelligence (AI) is everywhere. AI recommends movies and restaurant choices, prevents cars from crashing, books flights, tracks taxis, identifies financial fraud and creates playlists to work out to.

Variational AI is a newly formed artificial intelligence (AI)-driven molecule discovery & drug design startup out of Vancouver, British Columbia, Canada. The company has developed Enki, an AI-powered small molecule discovery service. The founders of Variational AI are planning to build on top of their state-of-the-art expertise in machine learning, reflected in more than 40 research publications, including those presented at NIPS/NeurIPS, ICML, ICLR, CVPR, ICCV, and other top events in the area of artificial intelligence research. The organizing principle of Variational AI is that the exponentially growing cost of drug discovery can only be halted if the pharmaceutical industry shifts the paradigm by which it searches the space of molecules. Variational AI has developed a machine learning algorithm that organizes the full space of 1060 drug-like molecules based upon their pharmacological properties rather than their chemical structure, enabling state-of-the-art QSAR and transformative multi-property inverse QSAR/QSPR.

El DORADO HILLS, CA -- November 12, 2019 -- BlaizeTM today emerged from stealth and unveiled a groundbreaking next-generation computing architecture that precisely meets the demands and complexity of new computational workloads found in artificial intelligence (AI) applications. Driven by advances in energy efficiency, flexibility, and usability, Blaize products enable a range of existing and new AI use cases in the automotive, smart vision, and enterprise computing segments, where the company is engaged with early access customers. These AI systems markets are projected to grow rapidly* as the disrupting influence of AI transforms entire industries and AI functionality becomes a "must-have" requirement for new products. "Blaize was founded on a vision of a better way to compute the workloads of the future by rethinking the fundamental software and processor architecture," says Dinakar Munagala, Co-founder and CEO, Blaize. "We see demand from customers across markets for new computing solutions that address the immediate unmet needs for technology built for the emerging age of AI, and solutions that overcome the limitations of power, complexity and cost of legacy computing."

The disruptive sales startup presented its solution to local investors, after it has gained successful track record working with leading clients in Europe and South America. Enerjoy, an artificial intelligence platform that uses personalized gamification to increase sales teams' motivation and performance, announced the launch of its series A fundraising round, as part of a remarkable event held by Strtupboost and SAP Next Gen at the latter's headquarters in New York city. Enerjoy's scientifically based solution was proven to increase sales reps performance by an average of 25%, catering leading clients as banks, insurance, travel and telecom companies in Europe and South America. Gabby Hasson, Managing Partner at Bseed who's mother company Besadno VC invested in enerjoy last June says; "as a venture capital firm that sees hundreds of startups each year, we always look for smart technologies that can make a real impact on different industries while presenting significant scale potential. Besadno joins enerjoy's former investors' list: Nielsen Innovate, Samurai-Incubate and Israeli Innovation Authority. Enerjoy takes pride in its customers as Orange telecom and Tatra Bank in Slovakia, Coca Cola in Israel, Fattal hotel reservation centers and other media, insurance and technology companies in different countries. The company developed a personal motivational profile algorithm based on research it has conducted with its organizational and behavioural scientists, along with other studies such as Harvard motivational model. Their conclusions were then translated into an artificial intelligence platform that uses gamification to motivate each rep individually. The platform increases each reps' sales rates and responds to changes in real time. In addition, it serves as a support tool for the teams' manager, sending relevant notifications about reps progress. Viki Glam, enerjoy's CEO and Co-Founder noted: "We have spent a lot of time and resources to validate our motivational algorithm and to prove it can bring results to serious clients in different industries and different cultures.

Perhaps it was 1984's blockbuster movie, The Terminator, that ignited man's fear of robots taking over the world. Or perhaps that fear is rooted in an instinctive paranoia that faces a future of unfamiliar territory with caution. Whatever the reason, technophobia is alive and well, and it affects many of the ways in which we feel about and integrate technology into our daily lives. Not all of these fears are based in unfounded skepticism, however. In fact, it is not dramatic upheaval that most fear, but rather that their jobs will be lost to automated robots that may very well be quicker and more efficient at performing them.

As of now, most are aware that Artificial Intelligence (AI) is rapidly becoming a present part of our daily lives. However, a lot of us would be rather surprised to learn of some of the tasks that AI already knows how to undertake. Here are 14 incredible things that AI can do right now. Be it news articles, books, weblinks and more, SummarizeBot can make automatic text summarizations using AI and machine learning that not just reads communications but also report back the most essential information. As of now, SummarizeBot can be used in Facebook Messenger or Slack and it makes use of natural language processing, machine learning, artificial intelligence, and blockchain technologies.

On November 18, 2019, Skylum will release Luminar 4, the AI photo editing tool for anyone who makes pictures. At PhotoPlus in New York, I talked with Dima Sytnik, chief product officer and co-founder of Skylum about the new artificial intelligence tools in Luminar 4. We're working with engineers to bring you the best technologies possible to make your photo editing workflow flow easier and faster than ever. The new technological advances in Luminar 4 is our new AI engine. We call it Artificial Intelligent Engine Skylum 2.0 and we have 4 AI-powered filters in Luminar 4, which is very unique to the market. So, photographers now can achieve the results much faster and much easier than before, but the quality is very high.

Watch SEI researcher Mr. Oren Wright discuss using graph signal processing formalisms to create new deep learning tools for graph convolutional neural networks (GCNNs) to answer the question "how does AI learn structure?" This project used graph signal processing formalisms to create new deep learning tools for graph convolutional neural networks (GCNNs). Our approach employed topology-adaptive graph convolutional networks, introduced in 2017 by researchers at Carnegie Mellon University.

Warangal Urban: A two week Faculty Development Program (FDP) commenced at Kakatiya Institute of Technology & Science, Warangal (KITSW) on Monday. It is being organised by the department Computer Science & Engineering(CSE), KITSW, and sponsored by Department of Science & Technology (DST), New Delhi. It will be held from November 11 to 22. Addressing the faculty Prof. T. Sreenivasulu said that the main objective of this FDP is to contribute to the cross fertilization between the research on machine learning methods and their applications to speech processing. The participants should learn the basic algorithms that helps to build and apply prediction functions with an emphasis on practical applications. He also appreciated KITSW for conduction of FDP/Workshops regularly in equivalent to IITs and NITs for benefit of faculty and students.