DeepCube announced the launch of a new suite of products and services to help drive enterprise adoption of deep learning, at scale, on intelligent edge devices and in data centers. Now, DeepCube will offer solutions for neural network training and inference, allowing users to leverage DeepCube's technology to address challenges in their deep learning pipeline.
MIT researchers have developed a system that could bring deep learning neural networks to new - and much smaller - places, like the tiny computer chips in wearable medical devices, household appliances, and the 250 billion other objects that constitute the IoT. The system, called MCUNet, designs compact neural networks that deliver unprecedented speed and accuracy for deep learning on IoT devices, despite limited memory and processing power. IoT devices often run on microcontrollers - simple computer chips with no operating system, minimal processing power, and less than one thousandth of the memory of a typical smartphone.
AI, whose artificial intelligence software is purpose-built for engineers, scientists, and researchers and enables them to innovate and make discoveries faster, announced that it had completed contributions to TensorFlow, the world's most popular open-source framework for deep learning created by Google. "Part of Noble's mission is building AI that's accessible to engineers, scientists and researchers, anytime and anywhere, without needing to learn or re-skill into computer science or AI theory," said Dr. Matthew C. Levy, Founder and CEO of Noble.
At the RSA security conference in San Francisco on Tuesday, Google's security and anti-abuse research lead Elie Bursztein will present findings on how the new deep-learning scanner for documents is faring against the 300 billion attachments it has to process each week. It's challenging to tell the difference between legitimate documents in all their infinite variations and those that have specifically been manipulated to conceal something dangerous.
Concentric announced the availability of a new approach to the most significant security challenge facing the enterprise today - business-critical unstructured data, stored on-premises or in the cloud, that is impossible to identify and protect manually. To combat this significant threat, Concentric is the first company to leverage deep learning capabilities to identify and autonomously quantify risk by developing an accurate and detailed semantic understanding of all data.
ServiceNow, the company making work, work better for people, announced it has signed an agreement to acquire Passage AI, a Mountain View, Calif.-based conversational AI platform company. The transaction will advance ServiceNow's deep learning AI capabilities and will accelerate its vision of supporting all major languages across the company's Now Platform and products, including ServiceNow Virtual Agent, Service Portal, Workspaces and emerging interfaces.
In this Help Net Security podcast recorded at Black Hat USA 2019, Dhananjay Sampath, CEO at Armorblox, talks about how they use natural language understanding and deep learning to automatically...
CyVent, a boutique advisory firm and solutions provider for cybersecurity, announced a new partnership with Deep Instinct, the first and only company to apply deep learning to cybersecurity. Under...
Armorblox announced that it has built the world’s first natural language understanding (NLU) platform for cybersecurity, analyzing sensitive information in emails and documents, and providing a...