Newswire) Remesh, a software company that is reinventing market research through artificial intelligence (AI), today announced the closing of its $2.25 million seed investment round that brings its total funding to $3.85 million. The round is led by LionBird Ventures, a venture capital firm investing in early stage digital health and business services companies with offices in Tel Aviv and Chicago. The round also includes Reimagine Holdings Group, a holding company focused on growing consumer insights and marketing services companies, as well as individual investors, representing a mix of new and returning investors. "We believe that Remesh has shown real potential to change the way brands, consultants and agencies listen to feedback from their audiences," said Ed Michael, Managing Partner at LionBird Ventures. "Remesh has recognized a way to solve for a number of inefficiencies in market research using artificial intelligence. This new model not only replaces legacy systems, but establishes entirely new market research workflows."

Facebook's AI assistant, known simply as M, will now pop into your Messenger chat windows to suggest actions it can take on your behalf, the company announced today. The feature is rolling out to iOS and Android users in the US, with a broader expansion around the globe in the coming months. Facebook first began testing this feature in December, and it appears ready to be unleashed on the public. The current system works by analyzing your conversation and looking for key words to trigger M's suggestive capabilities. Those capabilities include sending stickers on your behalf, initiating payment requests through Messenger, calling a ride-hailing app like Uber and Lyft, starting a poll for group chat participants, and sharing your location with others. M will also look for key words that suggest you're trying to make plans with a friend and jump in to help coordinate that.

Google's DeepMind announced today that it was open sourcing Sonnet, its object-oriented neural network library. Sonnet doesn't replace TensorFlow, it's simply a higher-level library that meshes well with DeepMind's internal best-practices for research. Specifically, DeepMind says in its blog post that the library is optimized to make it easier to switch between different models when conducting experiments so that engineers don't have to upend their entire projects. To this avail, the team made changes to TensorFlow to make it easier to consider models as hierarchies. DeepMind also added transparency to variable sharing. It's in DeepMind's own interest to open source Sonnet.

Mobvoi Inc., the Chinese artificial intelligence startup backed by Google, is getting a $180 million investment from Volkswagen AG to join a race to build the technology into cars. The startup, founded in 2012 by a group of former Googlers, will develop products for Volkswagen models and possibly other brands based on its voice-recognition and natural language processing technology. That includes a smart rear view mirror that provides navigation, messaging and information through voice input, the company said in a statement. Chinese tech giants are pushing into technologies that have the potential to transform the auto industry. Last month, Alibaba Group Holding Ltd. led an investment in WayRay, which makes holographic displays for cars.

NASHVILLE, Tenn.--(BUSINESS WIRE)--Digital Reasoning, a leader in cognitive computing, was announced as the company with the'Best Artificial Intelligence Technology' at the WatersTechnology.com Digital Reasoning created the Synthesys cognitive computing platform, which is one of the most widely-adopted AI systems within financial services and used by many of the world's leading investment banks in applications ranging across risk and compliance, financial crime, and customer insights. Synthesys understands and analyzes human communications. Most communications data is unstructured, making it virtually unreadable using conventional technology. By applying artificial intelligence, Synthesys makes sense of human language in text, audio and images, and resolves who is talking about what and with whom.

Google's DeepMind announced today that it was open sourcing Sonnet, its object-oriented neural network library. Sonnet doesn't replace TensorFlow, it's simply a higher-level library that meshes well with DeepMind's internal best-practices for research. Specifically, DeepMind says in its blog post that the library is optimized to make it easier to switch between different models when conducting experiments so that engineers don't have to upend their entire projects. To this avail, the team made changes to TensorFlow to make it easier to consider models as hierarchies. DeepMind also added transparency to variable sharing. It's in DeepMind's own interest to open source Sonnet.

The global market of artificial intelligence is anticipated to grow at a CAGR of over 60% during 2017-2022. On the basis of application, global artificial intelligence market has been broadly segmented into image recognition, natural language processing, speech recognition, gesture control & others. Among these categories, image recognition dominated global artificial intelligence market in 2016, and the segment is expected to maintain its dominance over the next five years as well. These machines are also capable of taking decisions by self-learning from the nearby environment. Global artificial intelligence market is expected to grow at a robust pace over the next five years, owing to its widespread implementation in numerous industries, such as automobile, finance, healthcare, consumer electronics, etc.

ALISO VIEJO, CA--(Marketwired - Apr 6, 2017) - Transcepta, an artificial intelligence-driven platform providing brands with faster, smarter and more accurate procure-to-pay connectivity and collaboration, offers a range of solutions powered by artificial intelligence (AI) that deliver efficiency and profit gains for clients. The company's supplier network and associated applications are part of the broader trend of AI shaping not only high-tech applications, but also changing how companies make decisions. Transcepta offers a suite of services for clients and their suppliers that use machine learning and predictive analytics to improve accuracy, transaction delivery speed and decision making. Transcepta leverages predictive analytics and machine learning to create systems that are self-improving through the continual addition of data inputs over time. Its services are helping to streamline processes and boost the bottom line for some of today's leading companies.

ONTARIO, CA and NEWPORT BEACH, CA April 4, 2017 The Safariland Group ("Safariland"), the parent company of VIEVU and a leading global provider of safety and survivability products designed for the public safety, military, professional and outdoor markets, and Veritone, a leading provider of artificial intelligence solutions, today announced their intent to enter into an agreement to integrate their product offerings to apply artificial intelligence to uniquely extract and process crucial data from police body-worn camera footage. The Veritone Platform will be available to Safariland's law enforcement agency customers as a complement to VIEVU's body-worn cameras, accessories and software, later this year. The integration will allow VIEVU's customers to upload large volumes of video and audio recordings into the Veritone Platform and process them in near real-time, enabling law enforcement personnel to rapidly extract actionable information for use in investigations, monitoring and training, as well as to respond more quickly and efficiently to public record requests. "The Veritone Platform will enable law enforcement agencies to save thousands of hours of manual searching by using intelligent audio and video analysis, allowing them to focus time and resources on more mission-critical tasks," said Chad Steelberg, chief executive officer of Veritone. "The Veritone Platform uses more than 40 best-of-breed cognitive engines, ranging from transcription and face recognition to sentiment analysis to object recognition, which will provide VIEVU's users the ability to derive comprehensive, actionable insights from their body camera footage in near real-time. Importantly, we have long admired VIEVU's products and its dedication to innovation, and we look forward to working together to advance public safety with artificial intelligence technology."

Dedicated Computing is co-hosting a Deep Learning Institute workshop in collaboration with NVIDIA and Milwaukee School of Engineering (MSOE). The workshop will take place at MSOE on April 13, 2017. Deep learning is a new area of machine learning that seeks to use algorithms, big data, and parallel computing to enable real-world applications and deliver results. Machines are now able to learn at the speed, accuracy, and scale required for true artificial intelligence. This technology is used to improve self-driving cars, aid mega-city planners, and help discover new drugs to cure disease.