Deep learning

Deloitte Expands Strategic Alliance With Intel to Help Enterprises Optimize Artificial Intelligence and Generative AI Capabilities

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Tuesday, April 9, 2024
Intel, Synthetic media, PC, Digital, Library, AI, Software, Ultra, TCO, Deep learning, Architecture, Graphics processing unit, Data center, Workload, Machine learning, Generative, Medical device

NEW YORK, April 9, 2024 /PRNewswire/ -- Deloitte and Intel announced today a major expansion of their alliance to help enterprises around the world deploy their AI solutions cost efficiently with the latest hardware and software optimizations. These new offerings aim to address the growing needs as the marketplace evolves from experimenting with AI to scaling implementations for distinct use cases that deliver real value. This collaboration can help clients meet and exceed their performance requirements and budget targets by shifting AI workloads to a more cost-efficient architecture.             

Key Points: 
  • This collaboration can help clients meet and exceed their performance requirements and budget targets by shifting AI workloads to a more cost-efficient architecture.
  • Intel and Deloitte have teamed to help clients optimize for their specific industry, workload and situation.
  • Current joint Deloitte and Intel AI offerings include:
    Digital AI Strategy: Analyze and demonstrate the advantages of using Intel-based AI technologies.
  • AI Storefront Solutions: Access Deloitte and Intel-vetted independent software vendors solutions built on next-gen AI hardware and personal computers.

Model Medicines Unveils Groundbreaking AI Drug Discovery Advances in New Chemistry and New Biology with Two New Preprint Papers

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Tuesday, April 9, 2024
AXL, Infection, Drug discovery, COVID-19, RNA-dependent RNA polymerase, FACP, FIDSA, RNA, Research, Publishing, AI, UC San Diego Health, Deep learning, GALILEO, Preprint, Orthornavirae, Therapy, Pandemic, BioRxiv, MAS, BRD4

LA JOLLA, Calif., April 9, 2024 /PRNewswire/ -- Model Medicines, a leading human health company specializing in generative AI-driven drug discovery, today announced the publication of two significant preprint papers on bioRxiv detailing major advances in antiviral and oncology drug discovery.

Key Points: 
  • LA JOLLA, Calif., April 9, 2024 /PRNewswire/ -- Model Medicines, a leading human health company specializing in generative AI-driven drug discovery, today announced the publication of two significant preprint papers on bioRxiv detailing major advances in antiviral and oncology drug discovery.
  • Using bioinformatics and deep learning, they also found MDL-001 to be a promising orally bioavailable broad-spectrum antiviral that blocks the RdRp Thumb-1 site.
  • In the second preprint, "ChemPrint: An AI-Driven Framework for Enhanced Drug Discovery" , Model Medicines details their foundational GALILEO AI platform and its core ChemPrint deep learning model for molecular property prediction.
  • By employing adaptive molecular embeddings and rigorous model training and validation methods, ChemPrint substantially outperformed conventional AI approaches.

WiMi Developed a Hybrid Machine Learning Model Based on VMD and SVR to Lead Bitcoin Price Prediction

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Monday, April 8, 2024
Cloud, VMF, Holography, WIMI, Algorithm, VMDS, Learning, Noise, Augmented reality, Research, VMware VMFS, SVR, Deep learning, Aggregation, VMD, Machine learning, Cryptocurrency

SVR, a core component of the machine learning algorithms, provides powerful predictive capabilities by capturing nonlinear relationships in the feature space of the technical model.

Key Points: 
  • SVR, a core component of the machine learning algorithms, provides powerful predictive capabilities by capturing nonlinear relationships in the feature space of the technical model.
  • The hybrid input of technical indicators and the reconstructed VFMs of the VMD allow SVR to provide a more comprehensive understanding of market dynamics.
  • To ensure the relevance of the predictive model data, intraday bitcoin price data was preprocessed and normalized.
  • Going forward, WiMi will continue to deepen its market data and integrate more emerging technologies to further enhance the performance of its two-stage hybrid machine learning model.

Securing Canada's AI advantage

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Sunday, April 7, 2024
First Nations, Child care, Natural language processing, NRC, Artificial intelligence, Child, Deep learning, Parliament, Investment, Democracy, Cohere, SSHRC, Woman, Safety, G7, Natural science, Drug discovery, Canada national team, Commons, Agriculture, Federation, Act, Research, Regional development agency, IRAP, Food, IBM, House, AIDA, National Research Council, Coveo, Digital, Health, Millennials, OpenText, Government, Growth, Today, TELUS, Public, Advisory Council, Working Group, Life, Housing, Ecosystem, BlackBerry, Social science, CIHR, Medical device

The Prime Minister, Justin Trudeau, today announced a $2.4 billion package of measures from the upcoming Budget 2024 to secure Canada's AI advantage.

Key Points: 
  • The Prime Minister, Justin Trudeau, today announced a $2.4 billion package of measures from the upcoming Budget 2024 to secure Canada's AI advantage.
  • We will also develop a new Canadian AI Sovereign Compute Strategy to catalyze the development of Canadian-owned and located AI infrastructure.
  • Creating a new Canadian AI Safety Institute, with $50 million to further the safe development and deployment of AI.
  • Today's announcement is about investing in innovation and economic growth to secure Canada's world-leading AI advantage today and for generations to come.

Quantum Computing Market worth $5.3 billion by 2029 - Exclusive Report by MarketsandMarkets™

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Friday, April 5, 2024
Component, Photonic integrated circuit, Data mining, FD-SOI, Statistics, Rigetti Computing, Deployment, Exascale computing, Quantum, Information, Region, D-Wave Systems, Parallel, Deep learning, Optics, Northrop Grumman, RF, IonQ, Laser, IBM, NEC, Amazon Web Services, Security, Data, Health, QC Ware, HPC, Marketing, Transceiver, Grumman, Hardware

Superconducting qubits can be fabricated using well-established semiconductor manufacturing techniques, allowing for the creation of large-scale quantum computing systems.

Key Points: 
  • Superconducting qubits can be fabricated using well-established semiconductor manufacturing techniques, allowing for the creation of large-scale quantum computing systems.
  • The health and pharmaceutical segment to grow with the highest CAGR of the quantum computing market during the forecast period.
  • On-premises quantum computing is a type of quantum computing hosted on a company's hardware.
  • North America holds largest market size of the quantum computing market during the forecast period.

Quantum Computing Market worth $5.3 billion by 2029 - Exclusive Report by MarketsandMarkets™

Retrieved on: 
Friday, April 5, 2024
Component, Photonic integrated circuit, Data mining, FD-SOI, Statistics, Rigetti Computing, Deployment, Exascale computing, Quantum, Information, Region, D-Wave Systems, Parallel, Deep learning, Optics, Northrop Grumman, RF, IonQ, Laser, IBM, NEC, Amazon Web Services, Security, Data, Health, QC Ware, HPC, Marketing, Transceiver, Grumman, Hardware

Superconducting qubits can be fabricated using well-established semiconductor manufacturing techniques, allowing for the creation of large-scale quantum computing systems.

Key Points: 
  • Superconducting qubits can be fabricated using well-established semiconductor manufacturing techniques, allowing for the creation of large-scale quantum computing systems.
  • The health and pharmaceutical segment to grow with the highest CAGR of the quantum computing market during the forecast period.
  • On-premises quantum computing is a type of quantum computing hosted on a company's hardware.
  • North America holds largest market size of the quantum computing market during the forecast period.

CHARM Therapeutics Announces Foundation of Scientific Advisory Board (SAB)

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Tuesday, March 19, 2024
College, PI3, Data science, Machine, Deep learning, Therapy, Harvard University, Audit trail, Membrane protein, School, Statistics, Biotechnology, ICR, Electrical engineering, Princeton University, 3D, Dartmouth College, Breast cancer, SAB, Applied science, Drug resistance, Royal, Machine learning, Computer science, Drug discovery, Associate, Royal Society, Intelligence, Research, AKT, Cancer, University, Cancer research, DARPA, Howard Hughes Medical Institute, Drug development, Principal, AstraZeneca, Entrepreneurship, The Institute, Biomarker, Columbia University, Faculty, Saint John's College, Stanford University, Chemical engineering, Medicine, Management

LONDON – 19 March 2024 -- CHARM Therapeutics (“CHARM”, “The Company”), a 3D deep-learning research company discovering and developing transformational medicines, today announces the foundation of its Scientific Advisory Board (SAB) to provide expert insight and guidance to the Company on the optimal application of 3D deep learning, protein design and prediction in real world medicine.

Key Points: 
  • LONDON – 19 March 2024 -- CHARM Therapeutics (“CHARM”, “The Company”), a 3D deep-learning research company discovering and developing transformational medicines, today announces the foundation of its Scientific Advisory Board (SAB) to provide expert insight and guidance to the Company on the optimal application of 3D deep learning, protein design and prediction in real world medicine.
  • This pioneering technology enables CHARM to target and develop treatments for previously hard-to-drug targets in cancer and other therapeutic areas.
  • Laksh Aithani, Co-Founder, Chief Executive Officer and Board Member of CHARM Therapeutics, said: “As CHARM advances its 3D deep learning platform in discovery it’s critical to maintain aligned oversight of our priorities and keep abreast of this emerging field.
  • Founding members of CHARM’s SAB:
    David Baker, Ph.D. is a Scientific Co-Founder at CHARM and Chair of the SAB.

NVIDIA Announces Earth Climate Digital Twin

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Monday, March 18, 2024
Cloud, Deep learning, Physics, Universal Scene Description, Climate change, GTC, Informatics, GPU, NCDR, Weather Underground (weather service), Intelligence, Meteomatics, Acceleration, SAN, ICON, Climate, News, Death, DGX, Weather, CWA, API, Technology Center, The Weather Company, Nvidia Omniverse, Video game

SAN JOSE, Calif., March 18, 2024 (GLOBE NEWSWIRE) -- GTC -- To accelerate efforts to combat the $140 billion in economic losses due to extreme weather brought on by climate change, NVIDIA today announced its Earth-2 climate digital twin cloud platform for simulating and visualizing weather and climate at unprecedented scale.

Key Points: 
  • SAN JOSE, Calif., March 18, 2024 (GLOBE NEWSWIRE) -- GTC -- To accelerate efforts to combat the $140 billion in economic losses due to extreme weather brought on by climate change, NVIDIA today announced its Earth-2 climate digital twin cloud platform for simulating and visualizing weather and climate at unprecedented scale.
  • “Climate disasters are now normal — historic droughts, catastrophic hurricanes and generational floods appear in the news with alarming frequency,” said Jensen Huang, founder and CEO of NVIDIA.
  • It also includes GPU acceleration of numerical weather prediction models like ICON on the latest NVIDIA Grace Hopper™ systems.
  • Running on NVIDIA DGX GH200, HGX™ H100 and OVX™ supercomputers, Earth-2 may provide a path to simulate and visualize the global climate simulations at unprecedented speed and scale.

NVIDIA Blackwell Platform Arrives to Power a New Era of Computing

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Monday, March 18, 2024
Cloud, Maker, Hewlett Packard Enterprise, Azure, GTC, Google Cloud, Algorithm, GPU, IBM Cloud, ASUS, B200, QCT, YTL Power, Deep learning, LLM, Statistics, Microsoft, Foxconn, NVLink, Partnership, InfiniBand, SAN, Oracle Cloud, Software, Meta AI, AWS, Ansys, TB, Pegatron, Fabric discography, GIGABYTE, Organization, Synopsys, Acceleration, Library, Grace, Quantum computing, Research, Electronic design automation, Architecture, Amazon Web Services, Dell Technologies, Cisco, Gmail, Machine learning, Game theory, Engineering, HGX, Decompression, OpenAI, Data science, Deep learning super sampling, Drug, Supermicro, DGX, Graphics processing unit, Elasticity, National academy, Dell, TSMC, Video game

The NVIDIA GB200 Grace Blackwell Superchip connects two NVIDIA B200 Tensor Core GPUs to the NVIDIA Grace CPU over a 900GB/s ultra-low-power NVLink chip-to-chip interconnect.

Key Points: 
  • The NVIDIA GB200 Grace Blackwell Superchip connects two NVIDIA B200 Tensor Core GPUs to the NVIDIA Grace CPU over a 900GB/s ultra-low-power NVLink chip-to-chip interconnect.
  • It combines 36 Grace Blackwell Superchips, which include 72 Blackwell GPUs and 36 Grace CPUs interconnected by fifth-generation NVLink.
  • The Blackwell product portfolio is supported by NVIDIA AI Enterprise , the end-to-end operating system for production-grade AI.
  • To learn more about the NVIDIA Blackwell platform, watch the GTC keynote and register to attend sessions from NVIDIA and industry leaders at GTC, which runs through March 21.

VAST Data and Supermicro Collaborate to Simplify and Accelerate AI Pipelines

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Tuesday, March 12, 2024
Cloud, Organization, High, GPU, Data science, Data, AI, Deep learning, Byte, Architecture, Apache Spark, Database, VAST Data, Booth, Catalog, Data management, NVIDIA, Parallel, Engineering, Total

With the VAST Data Platform , organizations can now automatically store and apply context to unstructured data, accelerate data analytics with a new approach to transactional and analytical data warehousing, and eliminate data silos with a unified global namespace from edge-to-cloud.

Key Points: 
  • With the VAST Data Platform , organizations can now automatically store and apply context to unstructured data, accelerate data analytics with a new approach to transactional and analytical data warehousing, and eliminate data silos with a unified global namespace from edge-to-cloud.
  • Additionally, the VAST Data Platform resolves the long-standing compromise between performance and capacity, ensuring unified access to all data.
  • “Supermicro is excited to collaborate with VAST Data to deploy their VAST Data Platform," said Charles Liang, president and CEO at Supermicro.
  • Customers can now buy a fully optimized VAST Data Platform AI solution stack directly from Supermicro or select distribution channels.