Rebranded Toyota Ventures invests $300 million in emerging tech and carbon neutrality 

Toyota ventures

Toyota AI Ventures, Toyota’s standalone venture capital fund, has dropped the “AI” and is reborn as, simply, Toyota Ventures. The fund is commemorating its new identity by investing an additional $300 million in emerging technologies and carbon neutrality via two early-stage funds: the Toyota Ventures Frontier Fund and the Toyota Ventures Climate Fund. 

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The EU and U.S. are on track to ban AI, handing the 21st century to China

Compliance - regulation

The European Union has chronically failed to produce any notable tech unicorns — billion-dollar startups. Its recent move to regulate (I would say criminalize) AI technology, if implemented, will setback the EU to the dark ages, and hand the future of tech to China. Instead of supporting these moves as it has, the Biden administration must embrace and support a future of growth and advancement — a future that promotes use of AI, for the sake of the economy, society and above all, national security.

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5 AI & Machine Learning Podcasts you should follow

Featuring engineering leaders, founders and academics from AI/ ML field. Podcasts are excellent for keeping up with the dope in your field and also familiarise with the processes/people behind the scenes. Keeping up with the trend, many podcasts cropped up in AI/ ML space and most of them are pretty informative featuring top engineers/ scientists/ CEOs/ professors from industry and academia.

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[Paper] MLatom 2: An Integrative Platform for Atomistic Machine Learning

Atomistic machine learning (AML) simulations are used in chemistry at an ever-increasing pace. A large number of AML models has been developed, but their implementations are scattered among different packages, each with its own conventions for input and output. Thus, here we give an overview of our MLatom 2 software package, which provides an integrative platform for a wide variety of AML simulations by implementing from scratch and interfacing existing software for a range of state-of-the-art models.

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Ethical concerns of combating crimes with artificial intelligence surveillance and facial…

Crime

While AI has applications across many sectors, one area where it is commonly utilized is in AI surveillance and facial recognition technology to combat crimes. As of 2019, at least seventy-five countries globally are actively using AI technologies for surveillance purposes, including smart city/safe city platforms, facial recognition systems, and smart policing initiatives (Feldstein 2019: 1).

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Realtime Robotics raises a $31M Series A

Realtime robotics

Boston-based Realtime Robotics this morning announced a $31.4 million round The funding is part of the $11.7 million Series A the company announced all the way back in late 2019. Investors include HAHN Automation, SAIC Capital Management, Soundproof Ventures , Heroic Ventures, SPARX Asset Management, Omron Ventures, Toyota AI Ventures, Scrum Ventures and Duke Angels.

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If you’re looking for Green Investment, look no further than Graze

Graze - Green Investment

These days, it seems like there’s a get-rich-quick scheme around every corner. Between the GameStonk saga, the meteoric rise of DogeCoin, and the innovations of NFT investment opportunities like NBA Top Shot, everybody’s looking for ways to make money outside of the traditional channels. One of the big reasons why is because venture capitalists have long known the best returns come from early adoption. While it’s hard to become an early adopter in the previously mentioned items, you can still invest in emerging companies.

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Researchers open-source benchmarks measuring quality of AI-generated code

Code conversion

In recent years, large-scale AI language models have shown promise in generalizing to tasks including writing code, implying that humans’ work may be one day supplemented by AI systems. But while some studies show that language models can translate code and fix compilation issues, there’s been little work on rigorously testing the coding ability of models given general coding problems.

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Gong going gangbusters, grabs $250M Series E on $7.25B valuation

Gong

Gong, the revenue intelligence startup, has been raising capital at a rapid pace, and today the company announced another $250 million on a $7.25 billion valuation, a number that triples its previous valuation from last summer. Franklin Templeton led today’s festivities with participation from Coatue, Salesforce Ventures, Sequoia, Thrive Capital and Tiger Global. The company raised $200 million last August at a $2.2 billion valuation, and has now raised $584 million, $450 million coming in the last year.

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Artificial Intelligence as a Service

Artificial Intelligence as a Service

But there is one major issue. AI costs a lot. In order to build in-house solution you need to hire the entire team of developers who could put the project together and make it work. One such specialist may cost 100 thousands per year on average. Many companies can’t afford such expenses. As time goes, one such company would be out-competed by their business rivals who could implement AI in their workflow. But where the problem is for one business, there is an opportunity for another one. In a wake of high cost of AI development, new industry emerged — Artificial Intelligence as a Service (AIaaS)

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