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In the subfield of machine learning known as natural language processing (NLP), robustness testing is the exception rather than the norm. That’s particularly problematic in light of work showing that many NLP models leverage spurious connections that inhibit their performance outside of specific tests. One report found that 60% to 70% of answers given by NLP models were embedded somewhere […]
Read more(Reuters) — The group behind a global cyber-espionage campaign discovered last month deployed malicious computer code with links to spying tools previously used by suspected Russian hackers, researchers said on Monday. Investigators at Moscow-based cybersecurity firm Kaspersky said the “backdoor” used to compromise up to 18,000 customers of U.S. software maker SolarWinds closely resembled malware tied to a hacking group […]
Read moreA paper published today in the journal Scientific Reports by controversial Stanford-affiliated researcher Michal Kosinski claims to show that facial recognition algorithms can expose people’s political views from their social media profiles. Using a dataset of over 1 million Facebook and dating sites profiles from users across Canada, the U.S., and the U.K., Kosinski and coauthors say they trained an […]
Read moreDeep 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. […]
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