IBM Journey to AI blog

MAY 6, 2024

Successful clinical studies hinge on efficiently recruiting and retaining diverse participants. In this chapter of the IBM series on clinical trial innovation, we spotlight key strategies for boosting recruitment speed, helping to ensure diversity, and harnessing digital advancements.

Convolutional Neural Networks 216

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Marktechpost

MAY 18, 2024

State-space models (SSMs) are crucial in deep learning for sequence modeling. Traditional SSMs need more complexity and resource usage as the state grows, limiting their scalability and performance in large-scale applications. Liquid-S4 and Mamba optimize sequence modeling through selective state spaces and memory management.

Natural Language Processing 107

Natural Language Processing Deep Learning AI AI 107

Marktechpost

APRIL 10, 2024

Recent studies integrate language models into search and planning systems, employing them to generate and assess potential actions or states. The problem domain is a Markov Decision Process (MDP), with states, actions, transition, and reward functions defining the search process. Check out the Paper and Github.

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Unite.AI

JANUARY 15, 2024

These models, designed to generate diverse content ranging from text and visuals to audio, find applications in healthcare, education, entertainment, and businesses. However, the expansive benefits of generative AI are accompanied by significant financial and environmental challenges. miles in an average car. miles in an average car.

Generative AI 324

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Marktechpost

MAY 19, 2024

integrates state-of-the-art RAG techniques with a context-aware database. This collaboration has resulted in a versatile tool that can handle diverse data formats and provide contextually accurate information. This integration allows for creating high-quality, contextually relevant responses by leveraging vast datasets.

Neural Network 120

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Marktechpost

MAY 19, 2024

Current classification methods rely on machine learning, with diverse contributions. The EEG signal is initially encoded into an amplitude-encoding quantum state, facilitating multi-channel and multi-sample scenarios. The preparation algorithm encodes EEG signals into quantum states using QRAM and quantum arithmetic.

Machine Learning 106

Machine Learning Algorithm Artificial Intelligence Artificial Intelligence 106

Unite.AI

SEPTEMBER 14, 2023

Yao Zhao, the paper's first author and a postdoctoral researcher at NC State, explains the principle: “Think of a plastic cup with a broader mouth than its base. This new invention builds upon previous work where a soft robot demonstrated basic navigational skills in simpler mazes. That’s the effect of its asymmetrical design.”

Robotics 278

Robotics Explainability 278

Unite.AI

JUNE 19, 2023

This development is not only set to challenge European nations but also aims to redefine the established hierarchy of global tech giants, particularly the United States. While this could unsettle established hierarchies, it also provides an opportunity for a more diverse and collaborative global AI ecosystem. A Challenge for the U.S

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AI Strategy AI AI Artificial Intelligence 355

IBM Journey to AI blog

JANUARY 25, 2024

The math demonstrates a powerful truth All predictive models, including AI, are more accurate when they incorporate diverse human intelligence and experience. Consider the diversity prediction theorem. So, it’s not just volume, but diversity that improves predictions. This is not an opinion; it has empirical validity.

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Marktechpost

MARCH 6, 2024

The existing models have shown state-of-the-art performance in certain tasks; there is a chance for advancements to achieve better performance across diverse benchmarks. The SFR-Embedding-Mistral model is trained on diverse datasets spanning retrieval, clustering, classification, and semantic textual similarity tasks.

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Marktechpost

MAY 17, 2024

Multi-task learning involves leveraging shared representations across diverse tasks to enhance generalization and efficiency. Amazon researchers introduce SpeechVerse , a multi-task framework with supervised instruction finetuning for diverse speech tasks.

Large Language Models 114

Large Language Models LLM AI AI 114

Unite.AI

JULY 18, 2023

With the ability to effortlessly transition between soft and hard states while also sensing forces and deformations, this artificial muscle mimics the flexibility and stretchability of natural muscle, facilitating integration into complex soft robotic systems and adaptation to diverse shapes.

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Robotics 246

AI News

JUNE 30, 2023

The strategic move demonstrates OpenAI’s commitment to expanding its operations, embracing diverse perspectives, and accelerating its mission of ensuring that artificial general intelligence (AGI) benefits all of humanity. OpenAI has announced that it will establish its first international office in London.

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Marktechpost

MAY 15, 2024

Pre-training large models on time series data faces several challenges: the lack of a comprehensive public time series repository, the complexity of diverse time series characteristics, and the infancy of experimental benchmarks for model evaluation, especially under resource-constrained and minimally supervised scenarios.

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Marktechpost

MAY 15, 2024

Trained at scale on high-quality image caption datasets and interleaved image-text data, XGen-MM boasts several notable features: State-of-the-Art Performance: The pretrained foundation model, xgen-mm-phi3-mini-base-r-v1, achieves remarkable performance under 5 billion parameters, demonstrating strong in-context learning capabilities.

AI Researcher 139

AI Researcher AI Research AI AI 139

Unite.AI

NOVEMBER 26, 2023

In a remarkable leap forward for artificial intelligence and multimedia communication, a team of researchers at Nanyang Technological University, Singapore (NTU Singapore) has unveiled an innovative computer program named DIRFA (Diverse yet Realistic Facial Animations).

Machine Learning 189

Machine Learning Artificial Intelligence Artificial Intelligence Chatbots 189

Marktechpost

APRIL 4, 2024

Robust benchmarks are indispensable tools in the arsenal of researchers, providing a rigorous framework for evaluating new methods across a diverse array of datasets. These benchmarks are pivotal in advancing the state-of-the-art, fostering innovation, and ensuring fair and meaningful comparisons among competing methodologies.

Machine Learning 107

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Unite.AI

APRIL 17, 2024

Arlington, VA, traditionally known for its strategic importance in government and defense, is rapidly transforming into a thriving hub for artificial intelligence (AI) innovation. This shift is propelled by a unique confluence of federal agencies, industry leaders, and a burgeoning tech ecosystem. The Washington D.C.

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Unite.AI

JANUARY 18, 2024

However, as data complexity and diversity continue to increase, there is a growing need for more advanced AI models that can comprehend and handle these challenges effectively. Moreover, LVMs enable insightful analytics by extracting and synthesizing information from diverse visual data sources, including images, videos, and text.

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Marktechpost

FEBRUARY 27, 2024

These challenges stem from the necessity of not only generating responses but also effectively tracking the dialogue state (DST) across the conversation. The seamless integration of Large Language Models (LLMs) into conversational systems has transformed how machines understand and generate human language. and GPT-4, in zero-shot DST tasks.

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Large Language Models ChatGPT ML AI 102

Flipboard

JUNE 13, 2023

This innovative approach significantly improves the performance of existing state-of-the-art instruction-tuned models, addressing challenges related to task diversity, query complexity, and data scaling.

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ChatGPT AI AI Artificial Intelligence 175

Marktechpost

MARCH 27, 2024

State Space Models (SSMs) like S4 and others have emerged to address the above issues and help handle longer sequence lengths. Mamba, a selective state space sequence modeling technique, was recently proposed to address typical state space models’ difficulties in handling long sequences efficiently.

Computer Vision 134

Computer Vision Large Language Models AI AI 134

Marktechpost

FEBRUARY 24, 2024

Deep learning has revolutionized view synthesis in computer vision, offering diverse approaches like NeRF and end-to-end style architectures. ViewFusion is trainable across diverse scenes, adapts to varying input views, and generates high-quality results even in challenging conditions. have developed.

Computer Vision 113

Computer Vision Deep Learning Artificial Intelligence Artificial Intelligence 113

Marktechpost

NOVEMBER 22, 2023

Researchers from Alibaba Group introduced Qwen-Audio, which addresses the challenge of limited pre-trained audio models for diverse tasks. Qwen-Audio-Chat, built upon Qwen-Audio, supports multi-turn dialogues and diverse audio-central scenarios, demonstrating its universal audio understanding abilities.

Artificial Intelligence 122

Artificial Intelligence Artificial Intelligence AI Researcher AI Research 122

Marktechpost

MAY 29, 2024

Gemini has achieved state-of-the-art performance across numerous benchmarks. Gemini’s multimodal nature allows it to process and integrate different types of information seamlessly, making it a robust tool for diverse AI applications. Gemini Nano: A more efficient model for on-device applications like smartphones.

AI Modeling 101

AI Modeling Large Language Models Conversational AI Natural Language Processing 101

Marktechpost

MAY 23, 2024

Current state-of-the-art VLMs typically leverage pre-trained unimodal models, such as large language models and image encoders, and combine them through various architectural choices. One of the key aspects explored by the researchers was the choice of pre-trained backbones for the vision and language components.

Large Language Models 105

Large Language Models ML Computer Vision Artificial Intelligence 105

Marktechpost

MARCH 18, 2024

In industrial image anomaly detection, self-supervised feature reconstruction methods show promise but still grapple with challenges such as generating realistic and diverse anomaly samples while mitigating feature redundancy and pre-training bias. Synthetic anomalies lack diversity and realism, hindering model generalization.

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Artificial Intelligence Artificial Intelligence AI AI 124

Marktechpost

MAY 29, 2024

This technology has significant applications in therapeutics and industrial processes, revolutionizing how proteins are engineered for specific tasks. Researchers in this field aim to develop methods that accurately predict and generate protein structures that perform desired functions efficiently.

ML 82

ML AI AI Artificial Intelligence 82

Marktechpost

APRIL 30, 2024

Large Language Models (LLMs) signify a revolutionary leap in numerous application domains, facilitating impressive accomplishments in diverse tasks. Yet, their immense size incurs substantial computational expenses. With billions of parameters, these models demand extensive computational resources for operation.

Large Language Models 131

Large Language Models Categorization Natural Language Processing Algorithm 131

Marktechpost

JANUARY 4, 2024

Neural View Synthesis (NVS) poses a complex challenge in generating realistic 3D scenes from multi-view videos, especially in diverse real-world scenarios. The limitations of current state-of-the-art (SOTA) NVS techniques become apparent when faced with variations in lighting, reflections, transparency, and overall scene complexity.

Deep Learning 129

Deep Learning AI AI AI Researcher 129

Marktechpost

FEBRUARY 28, 2024

Reka addresses the need for advanced language and vision models with their state-of-the-art multimodal and multilingual language model, Reka Flash. The models solve the challenges of achieving high performance across diverse tasks and languages using limited computational resources.

LLM 107

LLM AI AI Large Language Models 107

Marktechpost

NOVEMBER 7, 2023

By leveraging vector quantization, the method discretized the network’s hidden states into a sparse combination of vectors, thereby providing a more understandable representation of the network’s internal operations.

Neural Network 114

Neural Network Natural Language Processing AI AI 114

Marktechpost

DECEMBER 14, 2023

Researchers from Alibaba Group introduced Qwen-Audio, which addresses the challenge of limited pre-trained audio models for diverse tasks. Qwen-Audio-Chat, built upon Qwen-Audio, supports multi-turn dialogues and diverse audio-central scenarios, demonstrating its universal audio understanding abilities.

Artificial Intelligence 103

Artificial Intelligence Artificial Intelligence AI Researcher AI Research 103

Marktechpost

MARCH 8, 2024

The bottleneck in achieving these capabilities has been the scarcity of diverse, real-world training and benchmarking data, which is crucial for models to generalize well outside their training domains.

AI Researcher 124

AI Researcher AI Research Large Language Models AI 124

Marktechpost

MARCH 24, 2024

VLMs such as GPT-4, LLaMAadapter, and LLaVA augment LLMs with visual understanding, enabling them to tackle diverse tasks like Visual Question Answering (VQA) and captioning. Cobra integrates Mamba’s selective state space model (SSM) with visual understanding. It features a vision encoder, a projector, and the Mamba backbone.

Large Language Models 132

Large Language Models Natural Language Processing Robotics ChatGPT 132

Marktechpost

FEBRUARY 4, 2024

The Information Retrieval field has seen significant advancements, with models like ColBERT proving to generalize better to diverse domains and exhibit high data efficiency. This is where RAGatouille steps in, aiming to simplify the integration of state-of-the-art retrieval methods, specifically focusing on making ColBERT more accessible.

Machine Learning 111

Machine Learning OpenAI Large Language Models Artificial Intelligence 111

Marktechpost

FEBRUARY 4, 2024

These models, built primarily on Transformer architectures, have expanded AI’s capabilities in understanding and generating human language, leading to diverse applications. This initiative is a departure from traditional LLM training methods, which often utilize vast, diverse datasets but yield texts lacking in creative authenticity.

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