Mistral AI has officially closed its much anticipated Series A funding round. The French company has raised €385 million ($415 million).
Category: robotics/AI – Page 959
LeanDojo: Theorem Proving with Retrieval-Augmented Language Models
Lean Co-pilot for LLM-human collaboration to write formal mathematical proofs that are 100% accurate.
Top right: LeanDojo extracts proofs in Lean into datasets for training machine learning models. It also enables the trained model to prove theorems by interacting with Lean’s proof environment.
Top left: The proof tree of a Lean theorem ∀n∈N, gcd n n = n, where gcd is the greatest common divisor. When proving the theorem, we start from the original theorem as the initial state (the root) and repeatedly apply tactics (the edges) to decompose states into simpler sub-states, until all states are solved (the leaf nodes). Tactics may rely on premises such as mod_self and gcd_zero_left defined in a large math library. E.g., mod_self is an existing theorem ∀n∈N, n % n = 0 used in the proof to simplify the goal.
Spotify slashes staff to move faster into AI — and Wall Street loves it
Spotify made a name for itself in the audio-streaming business through its hyper-personalized user experience, thanks to artificial intelligence and a team of 9,800 staffers at the end of 2022.
But after three rounds of layoffs in one year: 590 positions in January, 200 in June, and another 1,500 this week, Spotify’s investments into AI to boost margins for its podcasting and audiobook divisions look like a complete overhaul in strategy that Wall Street seems confident can work.
“Spotify is leveraging AI across its platform, launching AI DJ, simulating a traditional radio experience, in 50 additional markets and rolling out AI Voice Translation for podcasts,” said Justin Patterson, equity research analyst at KeyBanc Capital Markets, in a research note. “Coupled with audiobooks rolling out to Premium Subscribers, we believe Spotify has several opportunities to drive engagement and eventually stronger monetization.”
Shares of parent company Spotify Technology SA are up more than 30% over the last six months and up more than 135% year to date.
IHMC’s Nadia: A task-ready humanoid robot with a boxing edge
In the exercise, an engineer equipped with a set of virtual reality (VR) goggles is orchestrating the robot’s actions.
Advanced proposition.
Nadia, a cutting-edge humanoid robot, is engineered with a focus on achieving a remarkable power-to-weight ratio and extensive range of motion. This is made possible by leveraging innovative mechanisms and advanced composite materials.
The robot draws its namesake from the renowned gymnast Nadia Comăneci, reflecting the ambitious aim of replicating human range of motion. Funding for Nadia’s development is derived from various sources, encompassing support from the Office of Naval Research (ONR), Army Research Laboratory (ARL), NASA Johnson Space Center, and TARDEC. This diverse funding base underscores the broad interest and recognition of Nadia’s potential applications across military, space exploration, and technological research domains, according to IHMC.
Sydney researchers debut new lego-style chip with enhanced bandwidth
“This architecture means Australia could develop its own sovereign chip manufacturing without exclusively relying on international foundries for the value-add process.”
Researchers at the University of Sydney Nano Institute have introduced a compact silicon semiconductor chip that seamlessly integrates electronics with photonic components. The innovation promises to significantly expand radio-frequency (RF) bandwidth and the ability to accurately control information flowing within the chip.
The chip, built using cutting-edge silicon photonics technology, boasts integration capabilities for diverse systems on semiconductors less than 5 millimeters wide. Pro-Vice-Chancellor (Research) Professor Ben Eggleton described the process as akin to assembling Lego building blocks, where new materials are integrated through advanced packaging of electronic ‘chiplets’, in a statement.
Lego-style components in chips aren’t new, however. In 2022, researchers at MIT designed a Lego-like reconfigurable AI chip that consisted of alternating layers of sensing and processing elements allowing the chip’s layers to communicate optically.
