The Sequence Scope: The AI Chip Race is Getting More Specialized

Weekly newsletter that discusses impactful ML research papers, cool tech releases, the money in AI, and real-life implementations.

📝 Editorial

Artificial intelligence (AI) has really brought together the worlds of software and hardware. It’s been decades since chip manufacturers have paid so much attention to advancements in software architectures in order to design better specialized hardware. The mainstream adoption and rapid evolution of neural network architectures have triggered an arms race between companies like Google, Nvidia, IBM, Microsoft, Intel, Qualcomm, and several well-funded startups in order to design chips optimized for deep learning models. And this race seems to be getting more diverse and specialized.

🗓 Next week in TheSequence Edge:

Edge#65: the concept Blackbox Hyperparameter Optimization: Bayesian Methods; how Amazon use AutoML for the entire lifecycle of ML models; Azure AutoML as one of the simplest and most robust AutoML platforms in the market.

🔎 ML Research

IBM AI Chip

🤖 Cool AI Tech Releases

SmartNoise

💸 Money in AI

  • Log analysis and observability startup Humio was acquired by cloud-native cybersecurity company CrowdStrike, in a mostly cash deal worth approximately $400 million. Humio built tools that allow enterprises to ingest and analyze logs in real-time at a fraction of the cost of existing decades-old technologies.
  • Graph analytics startup TigerGraph raised $105 million in Series C funding. With its distributed native graph architecture, TigerGraph helps organizations analyze many different aspects of data so that they can be used with one another to form new models and generate new insights.
  • Tax credit software platform Boast.ai secured a $100 million credit facility. Boast.ai aims to automate the government grant application process with a machine learning-powered tax credit platform.
  • Data-driven personalization provider Personetics raised $75 million in funding. Its proprietary AI software platform works inside financial institutions’ software, analyzing customers’ financial data and behavior in real-time, delivering tips and suggestions to improve their longer-term financial health.
  • Workflow automation startup AirSlate raised $50 million in debt financing. AirSlate’s platform lets customers automate processes using single, no-code solutions.
  • Real-time object recognition startup Recogni raised $48.9 million. Their novel Vision Cognition Module (VCM) is capable of running deep-learning networks with great efficiency. This purpose-built solution can enable cars to detect small objects at long distances.
  • Math tutoring app Photomath raised $23 million in series B funding. Powered by AI, the app instantly scans, accurately solves, and intuitively explains math problems to users through step-by-step explanations.
  • AI solutions startup Peak.AI raised a $21 million Series B round. Its AI system fuels competitive advantages and adds an intelligence layer to existing systems, using AI to generate insights, make predictions and optimize business processes.
  • Data management and modeling platform for enterprises Solidatus, raised $19.5 million in a Series A round. Solidatus helps enterprises effectively map, visualize, manage and monetize data.
  • Real-time augmented visual Intelligence platform Edgybees raised a $9.5 million Series A round. Edgybees’ solution combines advanced computer vision and machine learning technologies to accurately match aerial video to satellite reference imagery in real-time.
  • AI-based noise cancellation startup Krisp raised $9 million as an extension to its $5 million A round. Its AI-powered app removes background noise and echoes from meetings, leaving only human voices.

CEO of IntoTheBlock, Chief Scientist at Invector Labs, I write The Sequence Newsletter, Guest lecturer at Columbia University, Angel Investor, Author, Speaker.

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