Vesper

Continuing our commitment to interoperability and multichain support, Vesper has launched on Optimism, starting with ETH and USDC deposits. Overview At Vesper, we’re constantly striving to reduce the entry barrier for crypto yield. That means incorporating chains that can better adapt to market conditions and achieve not only faster but more…

Further the utility of your vacbETH by depositing it as collateral and generating synths via Metronome Overview Metronome’s latest addition to the collateral asset lineup, vacbETH, is the Vesper position of Coinbase’s liquid staking token that enables users to navigate the DeFi landscape while still being able to participate in Ethereum’s…

A Haiku Poem

Calling all DeFi enthusiasts, start earning passive income through yield aggregators. These applications pool investor tokens and hunt for the next opportunity to maximize yield. Vesper Finance In its simplest form, Vesper Pools combine multiple tokens of the same kind from many depositors to generate a yield for its participants. Users are…

The recent collaboration between Vesper and Rocket Pool further incentivizes Liquid Staking Derivatives and lowers the barrier to entry for those wanting to contribute to Ethereum’s Proof of Stake system. — Overview What is Rocket Pool? Liquid Staking Derivatives: How does Rocket Pool work? rETH Node Staking Governance Protocol DAO (PDAO) Oracle DAO (ODAO) What is Rocket Pool? When it became clear Ethereum would be upgraded from Proof of Work (PoW) to Proof of Stake (PoS) in 2016, many users quickly realized the complexity of running…

The passing of VIP-24 will push a variety of pools into retirement. Overview With the passing of VIP-24, several pools will be retired as they have experienced low participation and demand. As the revenue earned from yield is put back into pool operations, it can sometimes cause associated gas fees to…

From concept to the building and implementation of reinforcement learning agents — Reinforcement learning, an area of machine learning, might be most commonly known in relation to autonomous vehicles: where a car learns how to drive by trial and error and after a million times, the car knows how to make a turn and stop for a red traffic light. …

From concept to the building and implementation of reinforcement learning agents — Over the last five to ten years, reinforcement learning (RL) has attracted increasing interest from the artificial intelligence sector (1). Due to its recent interest, the adoption of reinforcement learning within real-world applications still needs to be improved. Deepmind uses reinforcement learning to cool Google’s data centres, saving energy and…

It’s been nearly a decade since the Lithuanian scifi sci-fi thriller Vanishing Waves cleaned up at Fantastic Fest basically winning all of the awards, except Best Actor in the Fantastic Features competition. …