MarkTechPost (2 hours ago)
IBM released Granite Speech 5.0 2B, an Apache 2.0 speech recognition and translation model. It ranks #2 on the Open ASR Leaderboard with 5.68% average English WER, alongside updated Turbo CTC and 4.1 2B Plus models.
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Ask most executives to picture the cost of AI and they’ll likely see GPUs—racks of accelerators with gigawatts of power—and a waitlist for silicon. But that picture leaves something out: Data storage costs. What happens to data after a model responds?
Boomi is approaching $1bn in recurring revenue, chairman and chief executive Steve Lucas told TNW. The integration company has tripled its revenue in the four years since he joined in 2022, he said. It helps that Boomi does data, and “AI needs data,” he said.
Equating to the loss of 5% of its 93,000 global staff, job cuts come as bank announces jump in quarterly profits Business live – latest updates Barclays is cutting 5,000 jobs as part of wider cost-cutting plans that its bosses say are being driven by advances in AI.
Barclays cutting 5,000 jobs as part of a plan to save £1.1 billion, and the majority of the work is going to AI.
They might earn more than $200k but who do they work for? Tech buyers need to put some checks in place on FDEs
Perplexity and NVIDIA introduced JOLT, a post-training method that trains one model as both teacher and student. On MATH it matched GRPO’s accuracy with 6.5x fewer processed training tokens.
Explore a comprehensive coding guide benchmarking Cactus Compute’s 16.9 MB speech model against Whisper base. Learn about word error rates, CPU speed, streaming latency, and speech-to-tool integration.
Discover NVIDIA Nsight Python, an open-source interface that allows developers to profile GPU kernels, analyze hardware metrics, evaluate cache and clock controls, and measure kernel fusion directly from Python code.
Recursive has released Flint, an Apache 2.0 local coding model with 40B total and 2.5B active parameters. It reports 74.2% on SWE-bench Verified and 125+ tokens per second on an M4 Pro MacBook Pro.
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