AI News
AI’s ascendance seems unfazed by SVB mess
Thanks to advancements in artificial intelligence, your computer is going to get a lot smarter and more useful in the coming years. AI’s ascendance seems unfazed by SVB mess by Alex Wilhelm originally published on TechCrunch
TechCrunch+ roundup: Beyond the Turing test, 3 VCs on SVB, usage-based pricing tactics
After SVB's failure, who's most vulnerable, who stands to benefit, and what are some of the long-term implications for venture capital? TechCrunch+ roundup: Beyond the Turing test, 3 VCs on SVB, usage-based pricing tactics by Walter Thompson originally published on TechCrunch
OpenAI releases GPT-4, a multimodal AI that it claims is state-of-the-art
OpenAI has released a powerful new image- and text-understanding AI model, GPT-4, that the company calls “the latest milestone in its effort in scaling up deep learning.” GPT-4 is available today to OpenAI’s paying users via ChatGPT Plus (with a usage cap), and developers can sign up on a waitlist to access the API. Pricing […] OpenAI releases GPT-4, a multimodal AI that it claims is state-of-the-art by Kyle Wiggers originally published on TechCrunch
Anthropic launches Claude, a chatbot to rival OpenAI’s ChatGPT
Anthropic, a startup co-founded by ex-OpenAI employees, today launched something of a rival to the viral sensation ChatGPT. Called Claude, Anthropic’s AI — a chatbot — can be instructed to perform a range of tasks, including searching across documents, summarizing, writing and coding, and answering questions about particular topics. In these ways, it’s similar to […] Anthropic launches Claude, a chatbot to rival OpenAI’s ChatGPT by Kyle Wiggers originally published on TechCrunch
Meet the team developing an open source ChatGPT alternative
At the risk of stating the obvious, AI-powered chatbots are hot right now. The tools, which can write essays, emails and more given a few text-based instructions, have captured the attention of tech hobbyists and enterprises alike. OpenAI’s ChatGPT, arguably the progenitor, has an estimated more than 100 million users. Via an API, brands including […] Meet the team developing an open source ChatGPT alternative by Kyle Wiggers originally published on TechCrunch
GPT-4
We’ve created GPT-4, the latest milestone in OpenAI’s effort in scaling up deep learning. GPT-4 is a large multimodal model (accepting image and text inputs, emitting text outputs) that, while less capable than humans in many real-world scenarios, exhibits human-level performance on various professional and academic benchmarks.
Mining the right transition metals in a vast chemical space
Computational chemists design better ways of discovering and designing materials for energy applications.
New method accelerates data retrieval in huge databases
Researchers used machine learning to build faster and more efficient hash functions, which are a key component of databases.
MIT professor to Congress: “We are at an inflection point” with AI
Aleksander Mądry urges lawmakers to ask rigorous questions about how AI tools are being used by corporations.
Matthew Kearney: Bringing AI and philosophy into dialogue
The computer science and philosophy double-major aims to advance the field of AI ethics.
Creating a versatile vaccine to take on Covid-19 in its many guises
Aided by machine learning, scientists are working to develop a vaccine that would be effective against all SARS-CoV-2 strains.
AI chip startup Mythic rises from the ashes with $13M, new CEO
Mythic, an AI chip startup that last November reportedly ran out of capital, rose from the ashes today with an unexpected injection of fresh funds. Mythic this morning announced that it closed a $13 million financing round led by existing investors Atreides Management, DCVC and Lux Capital alongside new investors Catapult Ventures and Hermann Hauser […] AI chip startup Mythic rises from the ashes with $13M, new CEO by Kyle Wiggers originally published on TechCrunch
New insights into training dynamics of deep classifiers
MIT researchers uncover the structural properties and dynamics of deep classifiers, offering novel explanations for optimization, generalization, and approximation in deep networks.
Overhaul, which taps AI to secure physical supply chains, raises $73M in equity and debt
Businesses dependent on the physical supply chain face a number of potential roadblocks. Customers expect fast deliveries with visibility into each step, but costs — including transportation and raw materials costs — are rising thanks to inflation and other factors. Meanwhile, there’s a talent shortage, particularly in areas like logistics and operations management, and technical […] Overhaul, which taps AI to secure physical supply chains, raises $73M in equity and debt by Kyle Wiggers originally published on TechCrunch
Microsoft’s computer vision model will generate alt text for Reddit images
Two years ago, Microsoft announced Florence, an AI system that it pitched as a “complete rethinking” of modern computer vision models. Unlike most vision models at the time, Florence was both “unified” and “multimodal,” meaning it could (1) understand language as well as images and (2) handle a range of tasks rather than being limited […] Microsoft’s computer vision model will generate alt text for Reddit images by Kyle Wiggers originally published on TechCrunch
Large language models are biased. Can logic help save them?
MIT researchers trained logic-aware language models to reduce harmful stereotypes like gender and racial biases.
Robot armies duke it out in Battlecode’s epic on-screen battles
The long-running programming competition encourages skills and friendships that last a lifetime.
Integrating humans with AI in structural design
A process that seeks feedback from human specialists proves more effective at optimization than automated systems working alone.
MIT-Takeda Program heads into fourth year with crop of 10 new projects
The program leverages MIT’s research expertise and Takeda’s industrial know-how for research in artificial intelligence and medicine.
Efficient technique improves machine-learning models’ reliability
The method enables a model to determine its confidence in a prediction, while using no additional data and far fewer computing resources than other methods.
