Author: Advanced AI Editor
[Image from Pixabay]The MIT Health and Life Sciences Collaborative recently announced the establishment of the Hood Pediatric Innovation Hub to drive children’s healthcare innovation. Launched in collaboration with the Boston-based Charles H. Hood Foundation — which has committed $15 million toward the effort over the next five years — the hub will focus on developing technologies and treatments tailored specifically for children, meeting unmet needs in pediatric medicine. Leveraging MIT’s life science strengths, the hub will provide seed funding and strategic support for bold, high-impact research projects with the potential to transform children’s healthcare. In addition to supporting researchers with…
Between 2013 and 2024, global private sector investment in artificial intelligence (AI) has surged, with a few countries leading the charge. Recent data reveals that 12 nations accounted for the bulk of global AI funding during this period, underscoring a growing international race for technological leadership. The United States leads by a wide margin, raising $471 billion—more than the rest of the world combined. China follows with $119 billion, while the United Kingdom, Canada, and Israel round out the top five with $28 billion and $15 billion each, respectively. Read also: Top countries leading in artificial intelligence patents This concentrated…
Veterans of the European startup scene, who’ve launched multiple consumer apps in the past, are partly coming out of stealth Tuesday with a new app. On the face of it, Grouphug will simply generate memes from the archive of a group WhatsApp chat. However, that masks a wider play. Grouphug is led by Felix Petersen, one of the most experienced and seasoned B2C founders in Europe, who built the Amen and Plazes apps. Right now, all users can do on Grouphug is export the text from a group WhatsApp chat and generate funny images from the content. However, this is…
#alibi #transformers #attention Transformers are essentially set models that need additional inputs to make sense of sequence data. The most widespread additional inputs are position encodings or position embeddings, which add sequence index information in various forms. However, this has put a limit on the resulting model, which cannot run inference on sequences longer than it has been trained on, as it would encounter unfamiliar position encodings. ALiBi solves this by proposing simple linear fixed biases as position information, adding negligible overhead in time and memory, but surprisingly, the resulting model is able to handle inference on sequences many times…
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John Abramson is faculty at Harvard Medical School and a family physician for over two decades. He’s the author of the new book Sickening about how big pharma broke American healthcare and how we can fix it. Please support this podcast by checking out our sponsors: – Noom: – Notion: to get up to $1000 off team plan – InsideTracker: and use code Lex25 to get 25% off – Athletic Greens: and use code LEX to get 1 month of fish oil – Onnit: to get up to 10% off EPISODE LINKS: John’s Website: Sickening (book): Overdosed America (book): PODCAST…
Watch AlphaGo and the world’s number one Go player, Ke Jie, explore the mysteries of the game together in the third of three classic 1:1 matches. This is the livestream for match three to be played on Saturday 27 May 10:30 CST (local), 03:30 BST. source
At the RSA Conference 2025, on Tuesday, Cisco announced key innovations and partnerships to help security teams face the rising challenges of the AI era. The company introduced new capabilities in Cisco XDR and Splunk Security, a deeper partnership with ServiceNow, and the launch of Foundation AI. According to Cisco’s upcoming 2025 Cybersecurity Readiness Index, 86% of organisations worldwide reported experiencing AI-related security incidents in the past year. “To fight back, understaffed security operations and IT leaders need AI power of their own,” Jeetu Patel, executive vice president and chief product officer at Cisco said. The company’s XDR has introduced…
Researchers from the Center for AI Safety (CAIS), MIT’s Media Lab, the Brazilian university UFABC, and the pandemic prevention non-profit SecureBio have found that leading artificial intelligence models can outperform experienced, PhD-level virologists in troubleshooting complex laboratory procedures. The findings, detailed in a new study introducing the Virology Capabilities Test (VCT), demonstrate AI’s proficiency in specialized scientific tasks but also highlight serious dual-use concerns, suggesting these tools could lower the barrier for creating dangerous biological agents. The VCT benchmark, consisting of 322 questions and detailed further in its research paper, was designed specifically to measure an AI’s ability to assist…