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Feb 18, 2024 · A Salesforce AI Research team presents the xLAM series, a collection of large action models designed to enhance the performance of open-source LLMs for autonomous AI agents. This work aims to accelerate innovation in the field and make high-performance models for agent tasks more accessible. 2024-09-11 3.
Microsoft’s VALL-E 2: First Time Human Parity in Zero-Shot Text-to ...
Jun 11, 2024 · Over the past decade, significant breakthroughs in speech synthesis have emerged, driven by the development of neural networks and end-to-end modeling. Last year, Microsoft introduced VALL-E, a neural codec language model capable of synthesizing high-quality personalized speech from just a 3-second recording of an unseen speaker. This model notably outperformed the state-of-the-art zero-shot ...
Stanford U & Google’s Generative Agents Produce Believable …
Apr 12, 2023 · In the new paper Generative Agents: Interactive Simulacra of Human Behavior, a team from Stanford University and Google Research presents agents that draw on generative models to simulate both individual and emergent group behaviours that are humanlike and based on their identities, changing experiences, and environment.
Yann LeCun Cake Analogy 2.0 | Synced
Feb 22, 2019 · Facebook AI Chief Yann LeCun introduced his now-famous “cake analogy” at NIPS 2016: “If intelligence is a cake, the bulk of the cake is unsupervised learning, the icing on the cake is supervised learning, and the cherry on the cake is reinforcement learning (RL).”The quip rippled across the AI community and confirmed LeCun a strong advocate of unsupervised learning, a machine learning ...
Tencent’s Effidit Significantly Expands the Capabilities of AI Writing ...
Aug 10, 2022 · In the new paper Effidit: Your AI Writing Assistant, a Tencent AI Lab research team introduces Efficient and Intelligent Editing (Effidit), a digital writing assistant that leverages large-scale neural language models to provide advanced, high-quality text writing assistance in English and Chinese. Effidit significantly expands AI writing ...
CMU’s DensePose From WiFi: An Affordable, Accessible and …
Jan 17, 2023 · DensePose was introduced in 2018 and aims to map human pixels in an RGB image to the 3D surface of the human body. Synced has previously covered additional research on the use of WiFi signals for human pose and action recognition through walls and the associated risks of such technologies. This new paper focuses on a particular task: given ...
2020 in Review: 10 AI Failures | Synced
Jan 1, 2021 · Publication of Study Using AI to “Predict Criminality” Based on Faces Blocked by AI Researchers. In June, a controversial study by Harrisburg University in Pennsylvania, A Deep Neural Network Model to Predict Criminality Using Image Processing, proposed an automated facial recognition system the authors claimed could predict whether an individual is a criminal from a single photograph of ...
200+ World-Class AI Experts at BAAI 2022: ‘AI Life’, Multimodal …
Jun 7, 2022 · The BAAI Conference 2022 kicked off at 9:00 am on May 31 in Beijing and ran through June 2. AI experts, industry leaders, young talents and international delegates joined the virtual gathering and live stream for three busy days of high-level keynotes, tech talks, parallel forums and networking. The conference addressed a variety of contemporary
Alibaba Open-Sources Its MCU to Boost AI Research | Synced
Oct 23, 2019 · Alibaba says the open source MCU platform will be of particular interest to chip design companies, IP providers, universities and research institutes. Alibaba introduced its first RISC-V (Reduced Instruction Set Computer) processor this July. The Xuantie 910 is designed to be used as a core IP to produce high-end edge-based MCUs, CPUs, and ...
NVIDIA’s Isaac Gym: End-to-End GPU Accelerated Physics …
Sep 1, 2021 · Deep reinforcement learning (DRL) has become a hot research area in recent years, achieving superhuman performance on sophisticated decision-making problems that range from strategy and computer games to robot training. Despite its success, DRL’s scalability remains impeded by two critical bottlenecks: enormous computational requirements and limited simulation speed. One way to mitigate this ...