DNA and RNA have been compared to “instruction manuals” containing the information needed for living “machines” to operate. But while electronic machines like computers and robots are designed from the ground up to serve a specific purpose, biological organisms are governed by a much messier, more complex set of functions that lack the predictability of binary code. Inventing new solutions to biological problems requires teasing apart seemingly intractable variables—a task that is daunting to even the most intrepid human brains.
Two teams of scientists from the Wyss Institute at Harvard University and the Massachusetts Institute of Technology have devised pathways around this roadblock by going beyond human brains; they developed a set of machine learning algorithms that can analyze reams of RNA-based “toehold” sequences and predict which ones will be most effective at sensing and responding to a desired target sequence. As reported in
Patented solutions support green energy boom by empowering utilities to predict optimal energy supply mix and pricing to meet grid demand and ensure grid reliability.
Veritone, Inc. (Nasdaq: VERI), the creator of the world’s first operating system for artificial intelligence, aiWARE™, today announced it has entered the energy sector with Veritone Energy, a suite of proprietary, predictive AI solutions that will help utilities increase profitability and improve grid reliability as they make the transition to renewables.
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Veritone takes on smart grid optimization with real-time predictive AI. (Graphic: Business Wire)
“We are thrilled to be adding a new vertical to our growing customer bases in the Media & Entertainment and Government, Legal and Compliance markets,” said Chad Steelberg, Chairman and CEO of Veritone. “Every year, over $750 billion is invested in global electricity generation and distribution projects, giving Veritone Energy
Sphera’s state-of-the-art Permit to Work solution helps process-intensive operators simulate and manage interdependent risks to keep people and assets safe and productive
Sphera’s Control of Work Wins Best Process/Plant Optimization Technology Award From Hydrocarbon Processing
Chicago, IL, Oct. 05, 2020 (GLOBE NEWSWIRE) — Sphera, a leading global provider of Integrated Risk Management software, data and consulting services, has won a 2020 Hydrocarbon Processing Award in the Best Process/Plant Optimization Technology category for its Control of Work solution.
Sphera’s Control of Work—which encompasses electronic Permit to Work, isolations management, hazard assessments, maintenance shifts, simultaneous operations (SIMOPS), sensors and more—delivers a single, shared view of a plant’s operational reality with a radically different, far more intuitive way to simulate and manage work activities and risk. The technology seamlessly integrates risk analysis across domains including data historians, process safety, EHS&S,
Social Native, a marketplace technology company that empowers marketers to source and optimize visual content to improve brand awareness and performance, announced today the acquisition of Olapic, a leading user-generated, influencer, and short-form video content platform for hundreds of brands worldwide.
As customer attention becomes harder and harder to capture, brands need a scalable and more efficient content solution to evaluate, refine and optimize their visual content strategy. The acquisition of Olapic solidifies Social Native’s goal of delivering an all-in-one platform that provides brands with data-driven insights, scales content creation, measures the impact of their work, and optimizes content for even greater results.
“Data is the critical ingredient that feeds artificial intelligence and ultimately drives results,” says David Shadpour, Founder and CEO of Social Native. “Our combined machine-learning technologies benefit from millions of unique data points – from analysis of over a hundred thousand visual assets created by Social Native’s