Deep learning has come a long way since the days when it could only recognize handwritten characters on checks and envelopes. Today, deep neural networks have become a key component of many computer vision applications, from photo and video editors to medical software and self-driving cars. Roughly fashioned after the structure of the brain, neural networks have come closer to seeing […]
Read moreFloor plans are useful for visualizing spaces, planning routes, and communicating architectural designs. A robot entering a new building, for instance, can use a floor plan to quickly sense the overall layout. Creating floor plans typically requires a full walkthrough so 3D sensors and cameras can capture the entirety of a space. But researchers at Facebook, the University of Texas […]
Read moreOpenAI today debuted two multimodal AI systems that combine computer vision and NLP, like DALL-E, a system that generates images from text. For example, the photo above for this story was generated from a text caption “an illustration of a baby daikon radish in a tutu walking a dog.” DALL-E uses a 12-billion parameter version of GPT-3, and like GPT-3 […]
Read moreTo work effectively, algorithms need user data — typically on an ongoing basis to help refine and improve the experience. To get user data, you need users. And to get users, especially lasting users who trust you with their data, you need to provide options that suit their comfort levels now while still allowing them to change them in future. […]
Read moreDeloitte Consulting published a report today that suggests a golden age of AI is in the offing, assuming organizations can implement and maintain a consistent approach to machine learning operations (MLOps). Citing market research conducted by AI-focused Cognilytica, the MLOps: Industrialized AI report from Deloitte notes that the market for MLOps platforms is forecast to generate annual revenues in excess […]
Read moreLarge language models like OpenAI’s GPT-3 and Google’s GShard learn to write human-like text by internalizing billions of examples from the public web. Drawing on sources like ebooks, Wikipedia, and social media platforms like Reddit, they make inferences to complete sentences and even whole paragraphs. But a new study jointly published by Google, Apple, Stanford, OpenAI, the University of California, […]
Read moreSalt Security, which is developing a threat protection solution that discovers APIs and detects vulnerabilities, today raised $30 million. The Palo Alto, California-based startup plans to use the capital to bolster product development, sales and marketing, and customer acquisition efforts well into 2021, following a $20 million raise in June. Application programming languages (APIs) dictate the interactions between software programs. […]
Read moreIn partnership with The Education Fund, a collection of nonprofits working in U.S. and around the world to help improve the quality of education, Ford and Pittsburgh-based autonomous car startup Argo AI say they’ve teamed up to make contactless deliveries in Ford’s Fusion Hybrid self-driving test vehicles. The launch of the pilot, which is taking place in Miami, comes as […]
Read moreToday during its Labs Day expo, Intel shared an update on progress within the Intel Neuromorphic Research Community (INRC), the ecosystem of over 100 academic groups, government labs, research institutions, and companies founded in 2018 to further neuromorphic computing. Intel and the INRC claim to have achieved breakthroughs in applying neuromorphic hardware to a range of applications, from gesture and […]
Read moreAt Labs Day, an online event showcasing innovations across Intel’s portfolio, the company unveiled ControlFlag, a machine programming system that can autonomously detect errors in code. Intel claims that even in its infancy, ControlFlag shows promise as a productivity tool to assist developers with the labor-intensive task of debugging. In preliminary tests, ControlFlag reportedly trained and learned defects on over […]
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