Enfabrica Corporation has opened a new research and development facility in Hyderabad, India, marking its latest step in expanding global operations. The Hyderabad office will focus on building the company’s engineering team and scaling silicon and software product development. Enfabrica’s leadership views this move as a way to strengthen its capacity to design networking products…
Sensor data, reimagined: When 90% less data can fuel 100x gains in efficiency in AI projects
For decades, the Nyquist-Shannon theorem—a foundational principle of signal processing—dictated that fully sampling a signal at or above twice its highest frequency was essential for capturing critical information. Now, a Pennsylvania startup called Lightscline suggests we may be entering a “post-Nyquist era.” According to a recent Nature Scientific Reports paper, the company’s neural-network-based software, inspired…
This week in AI research: Amazon launches 2T parameter video model, Mount Sinai opens AI center, Recursion-Exscientia close merger
Amazon is unveiling its multimodal “Olympus” AI model featuring advanced video analysis capabilities, with development versions ranging from 400 billion to 2 trillion parameters. In other news, Mount Sinai Health System opened a 65,000-square-foot AI research center housing 40 Principal Investigators and 250 technical staff, while Recursion Pharmaceuticals completed its merger with Exscientia, reporting a…
24 R&D trends that redefined 2024
In many respects, 2024 was a year of building upon the foundations laid by previous technological and scientific advances. While AI continued to evolve at a rapid clip, progress was in many ways more incremental than last year when GPT-4 redefined expectations for genAI. But AI continues to make definable improvements across a range of…
Some pundits sound alarm on AI’s $1 trillion gamble
A trillion-dollar question hangs over the booming field of artificial intelligence: will the massive investment pay off? Jim Covello, the head of global equity research at Goldman Sachs, sounds a note of caution. “AI technology is exceptionally expensive,” he warns, and to earn back the projected trillion-dollar cost of development and infrastructure, “the technology must…