The ability to communicate effectively in spoken English is a key determinant of both academic and professional success. Traditionally, the degree of mastery over English grammar, vocabulary, pronunciation, and communication skills has been assessed through tedious and expensive human-administered tests.The ability to communicate effectively in spoken English is a key determinant of both academic and professional success. Traditionally, the degree of mastery over English grammar, vocabulary, pronunciation, and communication skills has been assessed through tedious and expensive human-administered tests.Computer Sciences[#item_full_content]
The ability to communicate effectively in spoken English is a key determinant of both academic and professional success. Traditionally, the degree of mastery over English grammar, vocabulary, pronunciation, and communication skills has been assessed through tedious and expensive human-administered tests.The ability to communicate effectively in spoken English is a key determinant of both academic and professional success. Traditionally, the degree of mastery over English grammar, vocabulary, pronunciation, and communication skills has been assessed through tedious and expensive human-administered tests.[#item_full_content]
Elon Musk’s Neuralink closes a $650M Series E
Elon Musk’s brain computer interface startup Neuralink closed a $650 million funding round, the company announced in a blog post on Monday. The Series E fundraise included investors such as ARK Invest, Founders Fund, Sequoia Capital, and Thrive Capital, among others. Neuralink last raised a $280 million Series D funding round in 2023, with an […]Elon Musk’s brain computer interface startup Neuralink closed a $650 million funding round, the company announced in a blog post on Monday. The Series E fundraise included investors such as ARK Invest, Founders Fund, Sequoia Capital, and Thrive Capital, among others. Neuralink last raised a $280 million Series D funding round in 2023, with an[#item_full_content]
Salesforce buys Moonhub, a startup building AI tools for hiring
Salesforce has quietly snapped up Moonhub, a startup building AI to vet and hire talent. The terms of the deal weren’t disclosed. In a post on Moonhub’s website on Monday, the company said that its entire Menlo Park, California-based team will be joining Salesforce, an early investor in Moonhub. “As a customer and investor, Salesforce […]Salesforce has quietly snapped up Moonhub, a startup building AI to vet and hire talent. The terms of the deal weren’t disclosed. In a post on Moonhub’s website on Monday, the company said that its entire Menlo Park, California-based team will be joining Salesforce, an early investor in Moonhub. “As a customer and investor, Salesforce[#item_full_content]
IBM acquires data analysis startup Seek AI, opens AI accelerator in NYC
IBM on Monday said that it has acquired Seek AI, an AI platform that allows users to ask questions about enterprise data using natural language, for an undisclosed sum. Seek CEO and founder Sarah Nagy said that the startup’s technology will be a key part of Watsonx AI Labs, IBM’s new NYC-based AI accelerator, which […]IBM on Monday said that it has acquired Seek AI, an AI platform that allows users to ask questions about enterprise data using natural language, for an undisclosed sum. Seek CEO and founder Sarah Nagy said that the startup’s technology will be a key part of Watsonx AI Labs, IBM’s new NYC-based AI accelerator, which[#item_full_content]
The main problem with big tech’s experiment with artificial intelligence (AI) is not that it could take over humanity. It’s that large language models (LLMs) like OpenAI’s ChatGPT, Google’s Gemini and Meta’s Llama continue to get things wrong, and the problem is intractable.The main problem with big tech’s experiment with artificial intelligence (AI) is not that it could take over humanity. It’s that large language models (LLMs) like OpenAI’s ChatGPT, Google’s Gemini and Meta’s Llama continue to get things wrong, and the problem is intractable.Machine learning & AI[#item_full_content]
The Little Engine That Could wasn’t the most powerful train, but she believed in herself. The story goes that, as she set off to climb a steep mountain, she repeated: “I think I can, I think I can.”The Little Engine That Could wasn’t the most powerful train, but she believed in herself. The story goes that, as she set off to climb a steep mountain, she repeated: “I think I can, I think I can.”Business[#item_full_content]
As artificial intelligence and smart devices continue to evolve, machine vision is taking an increasingly pivotal role as a key enabler of modern technologies. Unfortunately, despite much progress, machine vision systems still face a major problem: Processing the enormous amounts of visual data generated every second requires substantial power, storage, and computational resources. This limitation makes it difficult to deploy visual recognition capabilities in edge devices, such as smartphones, drones, or autonomous vehicles.As artificial intelligence and smart devices continue to evolve, machine vision is taking an increasingly pivotal role as a key enabler of modern technologies. Unfortunately, despite much progress, machine vision systems still face a major problem: Processing the enormous amounts of visual data generated every second requires substantial power, storage, and computational resources. This limitation makes it difficult to deploy visual recognition capabilities in edge devices, such as smartphones, drones, or autonomous vehicles.[#item_full_content]
Artificial intelligence is everywhere—writing emails, recommending movies and even driving cars—but what about the AI you don’t see? Who (or what) is behind the scenes developing the algorithms that go unnoticed? And can it be trusted?Artificial intelligence is everywhere—writing emails, recommending movies and even driving cars—but what about the AI you don’t see? Who (or what) is behind the scenes developing the algorithms that go unnoticed? And can it be trusted?Machine learning & AI[#item_full_content]
Startup Battlefield 200: Final week to submit your application
Startup Battlefield 200 at TechCrunch Disrupt 2025 is still accepting applications — but the clock is ticking. In just one week, the chance to compete in the arena for the ultimate global pitch-off will close. Over 10,000 tech and VC leaders will be watching. This is your startup’s shot to be seen, backed, and remembered. […]Startup Battlefield 200 at TechCrunch Disrupt 2025 is still accepting applications — but the clock is ticking. In just one week, the chance to compete in the arena for the ultimate global pitch-off will close. Over 10,000 tech and VC leaders will be watching. This is your startup’s shot to be seen, backed, and remembered.[#item_full_content]
