Skip to content Skip to sidebar Skip to footer

Uncategorized

Unveiling MMS Zero-shot: An Innovative AI Model Capable of Transcribing Speech from Nearly Every Language Utilizing Minimal Unlabeled Text in the Novel Language

Speech recognition technology, a rapidly evolving area of machine learning, allows computers to understand and transcribe human languages. This technology is pivotal for services including virtual assistants, automated transcription, and language translation tools. Despite recent advancements, developing universal speech recognition systems that cater to all languages, particularly those that are less common and understudied, remains…

Read More

GitHub introduces GitHub Models, providing countless developers the opportunity to evolve into AI engineers and create using top-notch AI Models.

The use of AI (Artificial Intelligence) models is increasingly becoming important in the development of modern applications that contain both backend and frontend code. However, developers often face challenges in accessing these models, which affects their ability to integrate AI into their applications. To bridge this gap, GitHub is launching GitHub Models, aimed at providing…

Read More

Introducing Lakera AI: A GenAI Security Firm that Leverages Artificial Intelligence in Real-Time to Safeguard Businesses against LLM Weaknesses.

As corporations' use of Artificial Intelligence (AI) increases, so too does their risk of security breaches. Hackers could potentially manipulate AI into revealing crucial corporate or consumer data, a genuine concern for leaders of Fortune 500 companies developing chatbots and other AI applications. Lakera AI, a start-up in the field of GenAI security, addresses this…

Read More

PersonaGym: An Adaptive AI Platform for Thorough Assessment of Language Model Persona Bots

Large Language Model (LLM) agents are seeing a vast number of applications across various sectors including customer service, coding, and robotics. However, as their usage expands, the need for their adaptability to align with diverse consumer specifications has risen. The main challenge is to develop LLM agents that can successfully adopt specific personalities, enabling them…

Read More

Improving the Precision and Brevity of Responses in Large Language Models using Restricted Stream-of-Consciousness Prompting.

With advancements in model architectures and training methods, Large Language Models (LLMs) such as OpenAI's GPT-3 have showcased impressive capabilities in handling complex question-answering tasks. However, these complex responses can also lead to hallucinations, where the model generates plausible but incorrect information. This is also compounded by the fact that these LLMs generate responses word-by-word,…

Read More

Google AI presents ShieldGemma: an extensive assembly of LLM-based models for safe content moderation, which is constructed on Gemma2.

Large Language Models (LLMs) have gained significant traction in various applications but they need robust safety measures for responsible user interactions. Current moderation solutions often lack detailed harm type predictions or customizable harm filtering. Now, researchers from Google have introduced ShieldGemma, a suite of content moderation models ranging from 2 billion to 27 billion parameters,…

Read More

To develop an improved AI assistant, begin by simulating the unpredictable actions of human beings.

Researchers at MIT and the University of Washington have devised a model for detecting the computational limitations of an agent, whether human or machine, that obstruct their ability to solve problems. Agents' performance is monitored to calculate their "inference budget", estimates of the time and effort likely to be re-invested in similar tasks, which then…

Read More

This miniature device can protect user information while facilitating effective computation on a mobile device.

MIT and the MIT-IBM Watson AI Lab researchers have developed a machine-learning accelerator ingrained with defenses against the most common cyber-attacks. The device, which could find use in advanced AI applications like VR/AR and autonomous vehicles, offers robust security at the cost of increased power consumption and a slightly higher price tag. But maintaining optimum…

Read More

Julie Shah has been appointed as the chief of the Department of Aeronautics and Astronautics.

Julie Shah, the H.N. Slater Professor in Aeronautics and Astronautics, has been named the new head of the Department of Aeronautics and Astronautics (AeroAstro) at the Massachusetts Institute of Technology (MIT), commencing her role on 1 May. Shah's appointment is seen as an endorsement of her visionary leadership and the key roles she has played…

Read More

A dataset for artificial intelligence paves fresh ways for identifying tornadoes.

Around 1,200 tornadoes occur every year in the U.S., causing billions of dollars in damage and claiming an average of 71 lives. Predicting tornadoes is notoriously difficult due to gaps in understanding the precise conditions that cause them to form. The team from MIT's Lincoln Laboratory hopes to address this challenge, using a new open-source…

Read More