Cogniteam is an Israel-based company that operates in the Internet of Things (IoT), robotics, and AI industries, delivering cloud-based platforms to enhance robotic management, deployment, and control with a US office based in Boston. The company's flagship product, the Cogniteam Platform, allows development, management, and control of robots, IoT devices, and fleets from anywhere in…
Researchers at Massachusetts Institute of Technology (MIT) are seeking to leverage deep learning technology to provide a more detailed and accurate understanding of Earth's planetary boundary layer (PBL). The definition and structure of the PBL are pivotal to improving weather forecasting, climate projections, and issues such as drought conditions.
The PBL is the lowest part of…
Language models (LMs) such as BERT or GPT-2 are faced with challenges in self-supervised learning due to a phenomenon referred to as representation degeneration. These models work by training neural networks using token sequences to generate contextual representations, with a language modeling head, often a linear layer with variable parameters, producing next-token distributions of probability.…
Vector databases, which handle multidimensional data points, have gained significant attention due to their utility in machine learning, image processing, and similarity search applications. This article delves into a comparison of 14 vector databases, assessing their advantages, disadvantages, and unique features.
Faiss, a creation of Facebook AI, excels with efficient, high-performance similarity searching and dense vector…
Researchers at MIT have introduced a new technique for artists that could revolutionise the way animated characters are brought to life in movies and games. The technique is based on barycentric coordinates, a mathematical function that defines how 2D and 3D shapes can move and bend. This is a significant advance on existing techniques which…
MIT researchers have utilized deep learning, a form of artificial intelligence, to discover a series of compounds capable of killing a drug-resistant bacterium responsible for over 10,000 deaths in the United States annually. The research, published in Nature, demonstrates these compounds can kill methicillin-resistant Staphylococcus aureus (MRSA) in lab dishes and two mouse models. Apart…
MIT had a remarkable year in 2023, achieving progress on several fronts from scientific discoveries to spearheading community initiatives. Among the notable events were the inauguration of MIT President Sally Kornbluth, the Commencement address by Mark Rober, and Professor Moungi Bawendi receiving the Nobel Prize in Chemistry for his research on quantum dots.
The institution made…
During recent overseas travels, I have found myself relying heavily on RunPod.io to generate images utilizing Cloud GPU, ensuring AI image generations are saved swiftly and conveniently. As RunPod.io deletes data after shutting down their GPU, an external solution is needed for storage. Enter Mega.nz, the storage solution I have employed to prevent data loss.…
AI voice generators are transforming traditional methods of advertising and content marketing, empowering brands for global outreach in multiple languages and personalized consumer experiences. This technology learns how humans communicate and innovatively generates life-like audios, making content creation cost-effective and resource-efficient.
AI voice generators are increasingly popular because they provide personalised voice advertisements that can…
Due to the need for long-sequence support in large language models (LLMs), a solution to the problematic key-value (KV) cache bottleneck needs addressing. LLMs like GPT-4, Gemini, and LWM are becoming increasingly prominent in apps such as chatbots and financial analysis, but the substantial memory footprint of the KV cache and their auto-regressive nature make…
MLCommons, a joint venture of industry and academia, has built a collaborative platform to improve AI safety, efficiency, and accountability. The MLCommons AI Safety Working Group established in late 2023 focuses on creating benchmarks for evaluating AI safety, tracking its progress, and encouraging safety enhancements. Its members, with diverse expertise in technical AI, policy, and…
Artificial Intelligence (AI) has conventionally been spearheaded by statistical learning methods that are excellent at uncovering patterns from sizeable datasets. However, these tend to uncover correlations rather than causations, a differentiator that is of immense importance given correlation does not infer causation. Causal AI is an emerging, transformative approach that strives to comprehend the 'why'…