Less than a week after UBS proclaimed ChatGPT a record-setter for the app with the fastest-growing user base, the popular AI chatbot has racked up accomplishments that include passing “a U.S. medical-licensing exam, a Wharton Business School MBA exam, and four major university law-school exams,” according to TIME, which couches it in the context of “a brilliant child.” Amidst the fusillade of publicity, OpenAI CTO Mira Murati, who led the teams behind both DALL-E and ChatGPT, says it’s “time to move toward regulating AI,” which “can be misused, or used by bad actors,” raising questions about global governance. Continue reading OpenAI CTO Calls for Regulation as AI Tech Rapidly Expands

Nvidia CEO Jensen Huang announced a host of new AI tech geared toward data centers at the GTC 2022 conference this week. Available in Q3, the H100 Tensor Core GPUs are built on the company’s new Hopper GPU architecture. Huang described the H100 as the next “engine of the world’s AI infrastructures.” Hopper debuts in Nvidia DGX H100 systems designed for enterprise. With data centers, “companies are manufacturing intelligence and operating giant AI factories,” Huang said, speaking from a real-time virtual environment in the firm’s Omniverse 3D simulation platform. Continue reading Nvidia Introduces New Architecture to Power AI Data Centers

Google revealed its work on a new AI-enabled Internet search tool dubbed MUM (Multitask Unified Model), which can “read” the nuances globally of human language. The company says that users will be able to find information more readily and be able to ask abstract questions. MUM is not yet publicly available but Google independently used it for a COVID-19 related project. Vice president of search Pandu Nayak and a colleague designed an “experience” that gave in-depth information on vaccines when users searched for them. Continue reading Google AI-Enabled MUM Aims to Reinvent, Empower Search

Microsoft will begin providing customers of its Azure cloud platform with chips made by U.K. startup Graphcore, with the goal of speeding up the computations for artificial intelligence projects. Graphcore, founded in Bristol in 2016, has attracted several hundred million dollars in investment and the attention of many AI researchers. Microsoft invested in Graphcore last December, with the hope of making its cloud services more compelling. Graphcore’s chips have not previously been available publicly. Continue reading Microsoft Pairs Azure Cloud Platform, Graphcore AI Chips

Researchers recently introduced a series of rigorous benchmark tasks that measure the performance of sophisticated language-understanding AI. Facebook AI Research with Google’s DeepMind, University of Washington and New York University introduced SuperGLUE last week, based on the idea that deep learning models for today’s conversational AI require greater challenges. SuperGLUE, which uses Google’s BERT representational model as a performance baseline, follows the 2018 introduction of GLUE (General Language Understanding Evaluation), and encourages the creation of models that can understand more nuanced, complex language. Continue reading SuperGLUE Is Benchmark For Language-Understanding AI

Facebook AI Research, the Lorraine Research Laboratory in Computer Science and its Applications (LORIA), and University College London recently conducted a study to determine if AI can navigate a fantasy text-based game, dubbed “LIGHT.” To examine the AI agents’ comprehension of the virtual world, the study investigated the so-called grounding dialogue, comprised of mutual knowledge, beliefs and assumptions allowing communication between two people. The large-scale, crowdsourced “LIGHT” environment allows AI and humans to interact. Continue reading Study’s Fantasy Text-Based Game Tests AI Agents’ Abilities