Artificial Intelligence
OpenAI has introduced new features to ChatGPT Plus, affecting AI startups. Users can now access all ChatGPT tools without switching, including Browsing, Advanced Data Analysis, and DALL-E. PDF analysis, previously available through plugins, is now integrated. This move disrupts the business model of startups that developed these plugins. The impact on AI startups is significant…
Researchers from MIT and NVIDIA have developed two techniques that can accelerate the processing of sparse tensors, a type of data structure used for high-performance computing. The techniques, called HighLight and Tailors/Swiftiles, can improve the performance and energy-efficiency of hardware accelerators designed for processing sparse tensors. HighLight can efficiently handle various sparsity patterns, while Tailors/Swiftiles…
MIT researchers have developed a search engine, called SecureLoop, that can identify optimal designs for deep neural network accelerators while maintaining data security. The tool considers the impact of adding encryption and authentication measures on performance and energy usage. It improves accelerator designs by boosting performance and keeping data protected, enabling the improvement of AI…
MIT researchers have found evidence suggesting that the brain may develop an intuitive understanding of the physical world through a process similar to self-supervised learning. Using models known as neural networks, they trained them using self-supervised learning techniques and found that the resulting models generated activity patterns similar to those seen in the brains of…
The researchers from Columbia University and Apple have developed Ferret, a multimodal large language model (MLLM) that combines referencing and grounding for improved image understanding and description. Ferret uses a hybrid region representation and a spatial-aware visual sampler to handle a variety of regional forms and can handle input that combines free-form text and referenced…
Joy Buolamwini, a prominent AI researcher and activist, calls for a radical rethink of AI systems, highlighting the unethical practices of many AI companies. She emphasizes the need for rigorous testing and auditing of AI systems before deployment to avoid harmful consequences. Buolamwini also shares her personal journey of becoming an accidental activist and the…
Microsoft exceeded Wall Street’s Q1 financial projections across all sectors, driven by cloud computing and the Windows operating system. The company’s revenue also surpassed analysts’ expectations, largely due to the anticipation of the release of Microsoft 365 Copilot, a suite of AI tools developed in collaboration with OpenAI. Azure’s revenue grew by 29%, outperforming projections.…
OpenAI has established a team called “Preparedness” to address the potential risks associated with AI. The team will evaluate current and future AI models for risks such as tailored persuasion, cybersecurity threats, autonomous replication, and even existential threats like chemical, biological, and nuclear attacks. OpenAI believes that while advanced AI models can benefit humanity, they…
The author discusses how to succeed in your first data role. They emphasize the importance of becoming comfortable with workflow and data structure, mastering the company’s toolbox, learning the business, sharpening your skills, and becoming self-sufficient. They suggest practicing unused skills, creating personal projects, and managing projects from start to end. In a year or…
GROOT is a new imitation learning technique developed by researchers at The University of Texas at Austin and Sony AI. It addresses the challenge of enabling robots to perform well in real-world settings with changing backgrounds, camera viewpoints, and object instances. GROOT focuses on building object-centric 3D representations and uses a transformer-based strategy to reason…
MLCommons has formed the AI Safety Working Group (AIS) to develop benchmarks for AI safety. Currently, there is no standardized benchmark to compare the safety of different AI models. AIS will build upon the Holistic Evaluation of Language Models (HELM) framework developed by Stanford University to create safety benchmarks for large language models. Several prominent…
AutoMix is an innovative approach to allocating queries to language models (LLMs) based on the correctness of responses. It uses context and self-verification to ensure accuracy, and can switch between different models. AutoMix enhances performance and computational cost in language processing tasks and demonstrates promising capabilities for future research and application.
NYU researchers have developed an “interpretable-by-design” machine learning model for understanding RNA splicing. While traditional machine learning models struggle with interpretability, this model not only provides accurate predictions but also explains the underlying biological processes. It achieves this by utilizing sequence and structure filters, assigning quantitative strengths to these filters, and introducing visualization tools. This…
A research team has developed a comprehensive set of metrics to evaluate the performance of deep generative models (DGMs) in engineering design. These metrics address aspects such as design constraints, diversity, novelty, and target achievement, providing a more holistic understanding of the capabilities and limitations of DGMs. The integration of these metrics allows for the…
Global payment leader Mastercard has partnered with crypto payment platform MoonPay to leverage Web3 tools for improved marketing and customer engagement. The collaboration was announced at the Money20/20 event in Las Vegas, with both companies expressing enthusiasm for creating enhanced experiences using Web3. Mastercard has been actively exploring Web3 initiatives and previously collaborated with companies…
Recent advancements in human action recognition have facilitated significant breakthroughs in Human-Robot Interaction (HRI). To achieve better action segmentation models, a team of researchers proposed a novel learning technique that maximizes the likelihood of action union for unlabeled frames. They also introduced a refining method during inference to enhance the accuracy of action labels. These…
Researchers have developed an algorithm called EUREKA that uses advanced LLMs, such as GPT-4, to create reward functions for complex skill acquisition through reinforcement learning. EUREKA outperforms human-engineered rewards and enables in-context learning based on human feedback. This breakthrough opens up possibilities for LLM-powered skill acquisition, as demonstrated by a simulated Shadow Hand mastering pen…
Google has invested $2 billion in Anthropic, an AI startup, making it a major contender in the industry alongside established players like OpenAI. The funding deal includes an immediate $500 million, with a potential commitment of up to $1.5 billion later. Anthropic aims to challenge OpenAI with its enterprise-focused approach and its development of a…
The rise of deep fakes poses a significant challenge for the AI industry. In 2023, there has been an influx of deep fake images and voice recordings, including fake news related to the Israel-Hamas conflict. The prevalence of AI-generated fakes has led to doubts about the authenticity of real content. The issue lies in the…
The article discusses how to start a successful home service business, using the example of a pool cleaning service. The authors share their framework, which involves choosing a service, learning the necessary skills, finding customers through Next Door app, using text messaging to convert leads, scaling with Google Ads, and eventually hiring and scaling the…